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Senior Software Engineer About Tripadvisor The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world's most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork. Tripadvisor Experiences Engineering is the team that builds and supports the world's leading marketplace for travel experiences . We believe that making memories is what travel is all about. And with 400,000+ travel experiences to explore—everything from simple tours to extreme adventures (and everything in between) —making memories that will last a lifetime has never been easier. About the Role We are looking for a product-focused Senior Software Engineer to join our Experiences Engineering team. This is a full-stack role, leveraging Java, SQL, React, AWS and AI tools . It suits "T-shaped" engineers who thrive on autonomy and technical leadership. You'll build and maintain highly scalable distributed systems that power travel experiences for millions of users globally. We embrace flexibility in where and how work gets done and also value meaningful in-person moments to connect and collaborate. You can expect a remote-first working model with periodic in-person gatherings at your closest office for team connection, planning, or other key moments. This position is open to candidates based within a commutable distance (generally up to 1.5 hours) of one of our office hubs in London, Oxford, Krakow or Lisbon. What You'll Do Lead Technical Design: Own features end-to-end, leading the design and implementation of highly visible features while balancing security, privacy, and performance. Translate Strategy to Action: Work with Product and Data partners to turn high-level business goals into clear technical specifications, often serving as the technical lead for multi-quarter initiatives. Elevate the Team: Set the bar for code quality, lead the adoption of review standards, and mentor junior and mid-level engineers. Master Agentic AI: Use AI tools as a strategic partner to plan approaches, decompose ambiguous work, and establish new standards for monitoring and reliability. Architect for Resilience: Define the operational strategy and design highly fault-tolerant architectures, proactively identifying structural risks and setting the team-wide standards for automation, monitoring, and long-term stability. Optimize Systems: Actively look for opportunities to simplify, consolidate, or retire legacy code to reduce complexity and increase team velocity. Skills & Experience We typically look for 5+ years' experience, following a Bachelor's degree or above in Comp Science or a related field. Distributed Systems Expertise : Deep understanding of concurrent programming and experience building high-performance, scalable backend systems in cloud environments. Analytical Mindset: A habit of asking "how will we know this worked?" and using operational data or experiment results to validate every significant technical decision. Full-Stack Proficiency: Strong experience in at least one modern backend language (e.g., Java, C#, Go, Python) and familiarity with modern front-end frameworks. AI Coding: you are fluent coding with either Cursor or Codex/Claude/Open Code. Navigating Ambiguity: Comfortable making rational tradeoffs between non-functional requirements and delivery speed in an evolving environment. Collaborative Leadership: Proven ability to build relationships across disciplines and communicate technical trade-offs to non-technical partners. We'd love to see experience with NoSQL databases, GraphQL, Kafka, or containerization (Docker/Kubernetes). Experience building tools or abstractions that provide leverage to an entire engineering team is also a significant plus. We don't expect you to know everything on day one. More than any specific tool, we value curiosity and the ability to solve problems creatively. We value engineers from different technical backgrounds. You can complete our coding interview exercises in any language of your choice, but need to be open to working within the Java ecosystem when you join! What We Offer Competitive compensation packages , including base salary, annual bonus, and more. "Work your way" with flexibility to suit your lifestyle. We take a remote-friendly approach to collaboration, with the option to join on-site as often as you'd like in select locations. Flexible schedule . Work-life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching . Give back? Give more! We match qualifying charitable donations annually. Tuition assistance . Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit . An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks . We believe that travel is employee development, so we provide discounts and more. Employee assistance program . We're here for you with resources and programs to help you through life's challenges. Health benefits . We offer great coverage and competitive premiums. Generous referral scheme. Help us grow and be rewarded with generous awards for referring successful candidates. Our Cultural Pillars: Traveller first: We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us. Execution is our edge: We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data-driven, prioritised, and built to scale. We assume no problem is someone else's problem and finish what can be done today, knowing tomorrow will bring fresh challenges. We succeed together: The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements. Discover more in our Tech Blog , for an inside look into some of our exciting and ground-breaking technical projects here at Tripadvisor Group. Tripadvisor Group champions the unique identities, abilities, and experiences of all our people – employees, customers, and partners. This stems from our belief in the transformative power of travel, dining, and experiences to connect us and open doors to worlds very different from our own. Our ED&I strategy shapes how we approach our people, culture, business, and reputation. Tripadvisor Group strives to embed inclusion and belonging across all our brands. We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at AccessibleRecruiting@tripadvisor.com . If you have any additional questions about careers at Tripadvisor you can email us at recruitment@tripadvisor.com . We have all the answers!

About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role We are hiring a AI Platform Engineer to build the execution layer for Supabase's internal AI systems. Supabase is building an AI-native internal operating system: a common way of working across the company where AI carries a meaningful share of the operational load rather than sitting alongside it as an assistant. We are standing up a new central team to build those systems, enable the teams, and embed AI operations throughout the organization. You are the engineer on that team. The execution layer is yours. You will build the platform that actually runs agents: an event-triggered queue, a headless model-agnostic runtime, durable state so work survives a restart, a human review gate, atomic rollback, and full logging of every prompt, tool call and decision so any run can be reconstructed. You will build the evaluation layer that makes any of it trustworthy, because an agent that cannot be measured cannot be trusted with anything beyond reading. And you will build the agents themselves, across everything from executive reporting down to a layer of agents that watch the platform and improve it. This is a governance-heavy environment by design, and that is the interesting part of the problem. Agents are risk-tiered from read-only internal data through to external-facing output, with review depth, evaluation requirements and human approval scaling by tier. Some capabilities are permanently off limits: an agent may read and report, it may carry a human-authored update into a system of record once a human consents, and it may initiate contact within a strict budget, but it may never autonomously write a commitment (an owner, a due date, a status) into a shared work system. Your job is to make that structurally impossible rather than merely forbidden. You will be the only engineer on this platform. You will close open architecture decisions yourself, own the infrastructure end to end, and instrument the system so it reports its own return. What You'll Be Responsible For In this role, you'll: Ship the agent platform to production. An event-triggered queue, a headless model-agnostic runtime (choosing the runtime is an open decision you will close), durable state that survives a failed run, a human review gate, atomic rollback, and complete run logging in the warehouse. Own the evaluation layer, and switch on the gate that depends on it. Golden suites with behavioral assertions rather than intuition, judge criteria with a written rubric, safety cases that must pass on every run, and a CI gate that blocks a regression from merging. This is the precondition for every agent that does anything beyond read internal data. Build and register the agent portfolio. Reporting, drafting, linting, triage and question-answering agents across the executive, team-lead and individual-contributor layers, plus a meta layer that observes the platform and improves it. Enforce governance in code. Risk tiers the pipeline actually enforces, least-privilege credentials per agent, tool-permission gates, a decision audit log, and autonomy classes where the dangerous class has no code path rather than a warning label. Nothing runs without a registered owner, tier, tool grant and human gate. Design how the system contacts people. A hard interruption budget per person, message bundling instead of a stream of pings, and a structure that gives something useful before it asks for anything. Adoption depends on this more than on any other single design choice. Own the platform tooling. The compiler and validator, inventory integrity, and the paths that distribute context and capabilities into the repositories and chat surfaces where work happens. Compute the operating measures from production data. A pipeline from raw system activity through to a computed maturity grade per team, defensible enough that a team can dispute the result and be answered with the query rather than an opinion. Instrument the platform's own return. A ledger that logs the work each agent absorbs and computes the monthly figure, so the value of the system is a measurement rather than a claim. How You'll Think Recursive Thinking You build the generator, not the artifact. When you need thirty agents, you do not write thirty agents; you build the inventory, the compiler and the distribution path that makes the thirty-first cost an afternoon, then a meta layer whose job is to watch the platform, find its drift and file the fix. The evaluation layer is the same move applied to trust. You are not checking whether one agent is correct today. You are building the machine that decides whether every future agent is allowed to ship, which means the suite has to be right in a way the agent does not, and the thing that grades has to be graded too. Inversion Thinking You start from the failure and work backward to the design. The rule is that an agent may never autonomously write a commitment into a shared work system. The weak implementation is an instruction in a prompt. The strong one is that the credential in the agent's tool grant physically cannot set an owner, a due date or a status, so no amount of clever input, prompt injection or model error produces the forbidden write. You reach for the second one first. Same for evaluation. Before writing a suite you enumerate how the agent can be wrong: an update that invents progress that did not happen, one that quotes a private channel into a public digest, one that is accurate and reads as an accusation, one that credits the wrong person. Then the suite is that list, each case caught before the agent ships rather than after it embarrasses someone. AI-Native Execution You use agentic tools on real work, in files and repositories, with the same rigor you apply to anything else you ship. You have a setup of your own and can describe it mechanically: what triggers it, what it is allowed to touch, where the human approves, what it logs, and how you found out the one time it went wrong. That experience is this job, generalized. You are building for async engineers across 40+ countries who will judge the platform by whether it saves them an hour or costs them one, so you are your own first user and your own harshest reviewer. You Might Be a Good Fit If You Must Have Have shipped production LLM agent systems that other people depended on. Not demos, not internal showcases. Systems with operational history, real users and at least one incident you can talk through. Prompt engineering on its own does not clear this bar. Design evaluations, not spot checks. You build golden sets, write behavioral assertions, define judge rubrics, set pass thresholds and gate CI on the result. You can explain why "we reviewed a bunch of outputs and they looked good" is not evaluation. Have done deep API work against the systems work actually lives in , and have authored MCP servers. You know the specific failure modes of those APIs, not just that they exist. Own infrastructure end to end in Python on GCP, with a cloud warehouse and infrastructure as code. You provision, deploy, monitor and roll back your own systems, and you close architecture decisions rather than routing them onward. Have taste about how software contacts humans. You treat every notification as spending a limited amount of trust. Strong Signal Public work in this space. An open-source agent framework, an MCP server, an evaluation harness, or writing on agent reliability that other practitioners cite. LLM observability and cost instrumentation. Tracing agent runs, attributing spend per run, and building the queries that turn raw logs into a report someone acts on. You have built an internal platform that non-engineers adopted voluntarily , and can describe what you changed after watching them use it. What Success Looks Like The platform is boring. Agents run on a schedule and on events, state survives restarts, failed runs roll back cleanly, and every run can be reconstructed from its log. Nothing ships unevaluated. Every registered agent has a real suite with safety cases, the gate blocks regressions, and when someone challenges an output the answer is a test case rather than an argument. The dangerous action is impossible, not discouraged. An audit of any agent's credentials shows it cannot perform the writes it is not allowed to perform, and the audit log makes every consequential decision traceable. Teams pull the platform instead of being pushed. Agents get adopted because the reports are useful and the contact is rare and well-timed, and each team ends up with at least one workflow that runs automatically. The platform reports its own value. The work absorbed is measured and published, so the case for expanding it is made with data rather than enthusiasm. What We Offer Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we're building together. Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family's health are important to us. Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It's a highlight of our year. Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. About the Team Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. ~400 team members 60+ countries 20+ languages spoken Over $1B raised (including our $500M Series F) 540,000+ community members We move fast, build in public, and use what we ship. If it's in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

What do we do? Paddle offers digital product companies a completely different approach to their payment infrastructure. Instead of assembling and maintaining a complex stack of payments-related apps and services, we're a Merchant of Record for our customers. That means we take away 100% of the pain of payment fragmentation. It's faster, safer, cheaper, and, above all, way better. We're backed by investors including KKR, FTV Capital, Kindred, Notion, and 83North and serve over 10,000 software sellers in 245 territories globally. The Role: We are seeking a Senior Analytics Engineer to drive significant business impact by shaping our data infrastructure, developing robust data models, and promoting best practices in analytics engineering (e.g., data quality, documentation, and scalable data architectures). You will collaborate closely with business stakeholders to identify and deliver high-value data solutions and provide informal mentorship to junior team members, fostering their growth and enhancing team capabilities. What you'll do: Create and maintain complex, scalable data models in Snowflake using dbt. Expose datasets effectively in BI tooling to enable robust self-service analytics. Perform simple data ingestion tasks using no-code tools and ensure streamlined data flows. Add comprehensive metadata to datasets, including documentation, data quality checks, and sensitive data masking. Activate data by pushing it from Snowflake into other operational tools. Proactively identify and raise data quality issues to the respective process owners for resolution. Lead training sessions and initiatives to drive adoption and effective use of BI tools across the organization. Mentor junior analytics engineers, fostering knowledge-sharing and professional growth. We'd love to hear from you if you: Extensive experience in analytics engineering or related data roles, with demonstrated expertise in advanced SQL, dbt, and Snowflake. Proficient in using BI tools (e.g. Tableau, Looker, PowerBI, Snowsight) to deliver clear, actionable insights for business stakeholders. Skilled in performing data ingestion and activation using no-code tools (e.g. Fivetran, Stitch), ensuring efficient data integration into operational systems. Knowledgeable in managing metadata, documentation, data quality checks, and sensitive data masking effectively. Effective at collaborating closely with diverse stakeholders, understanding their data needs, and delivering impactful solutions. Experienced in conducting training sessions and providing informal mentorship to junior analytics team members, fostering a collaborative and knowledge-sharing environment. Everyone is welcome at Paddle At Paddle, we're committed to removing invisible barriers, both for our customers and within our own teams. We recognise and celebrate that every Paddler is unique and we welcome every individual perspective. As an inclusive employer, we don't care if, or where, you studied, what you look like or where you're from. We're more interested in your craft, curiosity, passion for learning and what you'll add to our culture. We encourage you to apply even if you don't match every part of the job ad, especially if you're part of an underrepresented group. Please let us know if there's anything we can do to better support you through the application process and in the workplace. We will do everything we can to support any accommodations needed. We're committed to building a diverse team where everyone feels safe to be their authentic self. Let's grow together. Why you'll love working at Paddle We're a diverse, growing group of Paddlers who pride ourselves on our transparent, collaborative and respectful culture. We live and breathe our values, which are: Paddle Together - "None of us, is as smart as all of us" Paddle Simply - "Simple can be harder than complex: you have to get your thinking clean to make it simple" Paddle for others - "We can realise our wildest dreams, so long as we help enough other people to realise theirs" We offer a full suite of benefits, including attractive salaries, stock options, unlimited holidays, enhanced parental leave, retirement plans, private healthcare and well-being initiatives. We invest in learning and will help you with your personal development via constant exposure to new challenges, an annual learning fund, and regular internal and external training. Connecting at Paddle We're a 'digital-first' company , which means our Paddlers always have the freedom to choose where, when and how they work within our hub locations. We recognize that where our Paddlers do their best work is unique to them and we provide trust and autonomy for everyone to work in a way which fits them best. We also value the power of connection and have invested in global hubs which help local communities flourish and bring us together for focused collaboration. Our Paddle hubs: In Europe: UK (London headquarters), Portugal (Lisbon hub), Netherlands and Ireland (Dublin hub) In North America: Austin, TX (USA) and Toronto (Canada) Our hub philosophy creates an engaging experience for all Paddlers, wherever, whenever and however we choose to work. To support this, we focus hiring within our hubs and will always openly share the available locations for each open position on our job description.

Senior Data Scientist [Data] • [Vancouver, BC]   We're looking for a Senior Data Scientist to help define Asana's growth strategy as users increasingly discover and adopt software through LLM interfaces like ChatGPT, Claude, and Gemini. With millions of knowledge workers now starting their workday in conversational AI tools, we're at an inflection point in how productivity software reaches users. As part of the AI organization within Asana you'll leverage data to influence how we should build our agentic work management products.    Asana's Data Science team helps us fulfill our mission by informing strategy, defining success metrics, and identifying new ways to deliver user value. Data scientists are at the crux of deepening our understanding of the customers and driving more business outcomes by leveraging experimentation, causal inference, statistical and machine learning techniques, and data storytelling.   This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you'll achieve   Work closely with Product Managers, User Researchers (UXR), and Engineers to understand the needs of our agentic work management customers, employing data frameworks and methodologies to understand our user segments and identify levers for driving user engagement Act as the data lead for specific AI features at Asana with product and engineering Use data analysis and data storytelling to identify key product opportunities for the roadmap Design experiments that measure product progress, and own key performance metrics. Collaborate with fellow Data Scientists in the team to research, identify and disseminate best practices across teams Work in a high-performance, dynamic team with a strong focus on velocity and software quality and learn about the upcoming field of AI-Optimization and how LLMs can help boost Asana's value proposition. About you 4-6 years of data science experience, with majority in growth-focused roles at B2B SaaS companies 0→1 builder mentality. You've demonstrated the ability to thrive independently in ambiguous environments where you're inventing new playbooks rather than executing existing one Exceptional cross-functional leadership. You write crisply, tell clear stories, and can influence across product,engineering, design, partnerships, sales, and executive stakeholders. You bring clarity to ambiguity. Experience with AI/ML products, LLM APIs, or third-party platform integrations. Strong preference for candidates who've worked with conversational AI or built features integrating ChatGPT, Claude, or similar platforms. Strong analytical foundation with deep fluency in experimentation, A/B testing, pipeline management Strategic business acumen to balance user experience with revenue objectives while translating emerging technology trends into actionable product strategy. Genuine AI enthusiasm. You're curious, adaptable, and genuinely excited about how LLMs are transforming software discovery and adoption.  Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making Expert in relational data modeling and SQL and fluent in at least one modern language useful for data processing (e.g. R, Python, or Scala). Familiarity with statistical methods including experimental design, regression, causal inference   At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we'll offer   Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.   For this role, the estimated base salary range is between CAD 176,000-200,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.   In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.   We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:   Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.   #LI-Hybrid About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law.   About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana's Talent Network  to stay up to date on job opportunities and life at Asana.

Fastly helps people stay better connected with the things they love. Fastly's edge cloud platform enables customers to create great digital experiences quickly, securely, and reliably by processing, serving, and securing our customers' applications as close to their end-users as possible — at the edge of the Internet. The platform is designed to take advantage of the modern internet, to be programmable, and to support agile software development. Fastly's customers include many of the world's most prominent companies, including GitHub, Yelp, Paramount, and JetBlue. We're building a more trustworthy Internet. Come join us. Threat Detection Analyst - (Japanese speaking desirable) Fastly is seeking a Threat Detection Analyst to join our dedicated Customer Security Operations Centre. In this role, you will be a frontline defender for Fastly's global enterprise customers. You will leverage our edge cloud platform and an array of security products in monitoring traffic, detect sophisticated anomalies, and deploy real-time mitigations against DDoS, Bot, and Web Application attacks. This is a high-impact role where you act as a strategic partner for our Managed Security Service (MSS) clients, providing the expert visibility and rapid response necessary to address internet-scale threats. What you'll Do : Active Incident Response: Lead the identification and mitigation of high-impact security events. You will analyze sophisticated traffic patterns and implement precise countermeasures, including rate limiting and custom WAF & Security rules to neutralize threats in real-time. Managed Security Delivery: Serve as a primary security consultant for MSS Customers. This involves continuous tuning and refining of security policies to optimize detection accuracy and maintaining a hardened security posture tailored to each client's unique environment. Advanced Threat Hunting: Conduct data-driven investigations using log analysis to uncover potential threats and hardenings opportunities Security Intelligence & Reporting: Author comprehensive After Action Reports (AARs) and monthly security summaries. You will translate complex telemetry and attack data into high-level actionable insights for customer stakeholders. Strategic Communication: Act as the Subject Matter Expert (SME) during active security incidents. You will provide clear, calm, and professional guidance via real-time communication channels, ensuring customers are informed and confident in our defensive strategy. What we are looking for : Web Security Expertise : Comprehensive understanding of the OWASP Top 10 and advanced attack vectors (e.g., Credential Stuffing, API Abuse, and Layer 7 DDoS). You can interpret raw payloads to distinguish between malicious intent and legitimate traffic. Protocol Proficiency: Deep technical knowledge of the internet stack, specifically HTTP/S, TCP/IP, DNS, and TLS. You should be comfortable analyzing handshake processes, header structures, and status codes. Analytical Rigor : A methodical approach to digital forensics and incident response. You possess the ability to correlate disparate data points within JSON or CSV logs to reconstruct an attack narrative. Communication Excellence: The ability to distill complex technical findings into concise, professional, and empathetic communications for both technical and non-technical audiences. We'll be super impressed if you have experience in any of these: Proficiency in Python or Bash for log parsing and workflow automation. Experience with Infrastructure as Code/Security as Code(SaC) (Terraform) or edge-based configurations. Industry-standard certifications such as CompTIA CySA+, GCIH, or Security+. Work Hours: This position will require you to be available during core business hours. Tuesday to Saturday : 10 am to 6 PM AEST and 11 am to 7 pm AEDT  Work Location(s) & Travel Requirements This position is a remote position based out of (locality), with the possibility of becoming a hybrid position as Fastly expands its presence in the region. This position will require travel to the US and Internationally, as required by your role or requested by your manager. Benefits: We care about you. Fastly works hard to create a positive environment for our employees, and we think your life outside of work is important too. We support our teams with great benefits that start on the first day of your employment with Fastly. Curious about our offerings? We offer a comprehensive benefits package designed to meet your needs. Our offerings may vary depending on the country where you work and are subject to change.   Why Fastly? We have a huge impact.  Fastly is a small company with a big reach. Not only do  our customers  have a tremendous user base, but we also support a growing number of  open source projects and initiatives . Outside of code, employees are encouraged to share causes close to their heart with others so we can help lend a supportive hand. We value diversity.  Growing and maintaining our inclusive and diverse team matters to us. We are committed to being a company where our employees feel comfortable bringing their authentic selves to work and have the ability to be successful -- every day. We are passionate.  Fastly is chock full of passionate people and we're not 'one size fits all'. Fastly employs authors, pilots, skiers, parents (of humans and animals), makeup geeks, coffee connoisseurs, and more. We love employees for who they are and what they are passionate about. We're always looking for humble, sharp, and creative folks to join the Fastly team. If you think you might be a fit please apply! A fully completed application and resume or CV are required when applying. All job applications must be submitted through our official careers site at www.fastly.com/about/careers . We will never request sensitive information, such as your Social Security number, bank account or credit card information during the application process. All official communication will come from an @ fastly.com or @ recruiting.fastly.com email address. Fastly is committed to ensuring equal employment opportunity and to providing employees with a safe and welcoming work environment free of discrimination and harassment. Our employment decisions are based on business needs, job requirements and individual qualifications. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, family or parental status, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Consistent with the Americans with Disabilities Act (ADA) and federal or state disability laws, Fastly will provide reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact your Recruiter, or the Fastly Employee Relations team at candidateaccommodations@fastly.com or 501-287-4901.  Fastly collects and processes personal data submitted by job applicants in accordance with our  Privacy Policy . Please see our  privacy notice for job applicants .

Company: Project X Ltd. Location: Toronto, Ontario Employment Type: Full Time Location: (Hybrid working model) Salary Range: $96,000-125,000 CAD About Project X Ltd. Project X Ltd. builds high-performing teams of talented, client-focused problem solvers who thrive on complex data challenges. Guided by our values of Care, Bravery, Excellence, and Innovation, we value people who take ownership of their work, step up when needed, and get things done. Our team members are trusted advisors who collaborate closely, think creatively, and deliver practical, high-quality solutions for our clients. We look for individuals who are curious, accountable, eager to learn, and supportive of their teammates—because at Project X, our people are what make us great. Role Summary As a Consultant, Data Science at Project X Ltd., you will be providing our clients with your knowledge and experience of making sense of messy, unstructured data. Using your computer science, statistics and mathematics expertise, you will analyze, process and model data, then interpret the results to create actionable data driven solutions for our clients. Key Responsibilities Participate in the requirements gathering, analysis, project plans, and solutions design. Work with internal and external stakeholders to identify opportunities for leveraging company data to drive business solutions. Feature engineering, selection and optimization models with ML techniques. Improve data collection procedures and pipelines. Perform data profiling and exploration to ensure the integrity of data. Productionalize data models with feedback loop to automate the refinement process for deployed models over time. Participate in the development of project plans to establish appropriate workload expectations and schedules. Maintain up-to-date knowledge of, and adopt relevant market trends and practices. What We're Looking For – Required Qualifications 3-5 years of hands-on experience as a Data Scientist Proficiency in Python and SQL, with experience in data wrangling, statistical analysis, and model development Hands-on experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch Familiarity with LLMs, prompt engineering, and AI application development using APIs (e.g. OpenAI, Anthropic, or similar) Experience building and deploying data pipelines and ML workflows in cloud environments; Snowflake experience is a strong asset Exposure to Snowflake Cortex AI features (e.g. Cortex LLM functions, Cortex Search, or Cortex Analyst) is considered a plus Strong understanding of vector databases, embeddings, and retrieval-augmented generation (RAG) patterns Ability to translate complex model outputs into clear business insights for non-technical stakeholders Comfort working in agentic and multi-agent system design is considered an advantage Nice to Have Experience with testing automation is an asset. Use of Artificial Intelligence in Recruitment Project X may use automated or AI-enabled tools as part of the recruitment and selection process. These tools may support activities such as resume screening, candidate matching, or application management. All hiring decisions involve human review and judgment. Employment Equity, Accessibility & Accommodations Project X is committed to fostering an inclusive, accessible workplace. Accommodations are available upon request in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code. Privacy Notice Personal information collected during

Why Work at Keller Construction Ltd.? At Keller, our people are our greatest strength. Joining us means being part of a company that values teamwork, innovation, and growth. We create a supportive environment where employees are empowered to excel and leave a lasting impact. Why Choose Keller? Grow With Us: We invest in your future through training, mentorship, and advancement opportunities. Pride in Excellence: Be part of a team where your work upholds a legacy of quality and integrity. Inclusive Culture: We embrace diversity and value every team member?s unique perspective. Work-Life Balance: Enjoy benefits and flexibility that support both your career and personal life. Safety Always: Your safety is our top priority, with the tools and resources to work confidently every day. At Keller, you?re not just building projects?you?re building a career. If you?re ready to be part of a team that values hard work, innovation, and teamwork, Keller is the place for you. Together, we build spaces, opportunities, and rewarding futures. The Project Manager is responsible for growing the revenue and profit of the organization via full cycle project management. Leading commercial projects from implementation to completion, ensuring that they are completed safely, on time, and within budget according to the contract, specifications, and scope of work. This role is a critical contributor to the success of the organization and works closely with the project team and stakeholders. The Project Manager ensures delivery and maintenance of excellent relations with clients and subcontractors. Responsibilities Responsible to complete projects on, or ahead of schedule and ensure project profitability Manage and organize daily operations, prepare construction schedules and monitor progress Develop and maintain project schedule Prepare detailed job cost and accurate forecasting reports Oversee subcontractors and suppliers Prepare and submit construction project budget estimates, contracts, change orders, RFI?s Process progress billings Oversee change management process Manage procurement process/buyouts Reconcile and ensure the final release of payments Procore management (i.e., project docs) Review plans and specifications for constructability and relate challenges Build and maintain excellent direct relationships with owners and associated trade contractors and suppliers Interpret and manage contractual obligations Lead meetings with trade subcontractors and superintendents to discuss progress, obstacles, and solutions and hold the parties accountable for results Establish and support deficiency review process Support superintendent to achieve occupancy permit Understand provincial legislation regarding liens and holdbacks Implement policies and procedures for quality control with a focus on continuous improvement Finalize project closeout Conduct post-project review with internal staff and stakeholders Monitor cash allowances and contingencies Experience and Qualifications: Minimum of 7 years of proven history of increasing scale Project Management experience in the commercial and multifamily construction industry with profitable, consistent results Proven, repeated, experience managing projects in the $2-20M range A desire to mentor and grow junior team members Demonstrable knowledge of safety procedures and ability to implement onsite Experience in reading and interpreting contract requirements Exceptional computer skills and strong experience with relevant scheduling, planning and cost control software Post-Secondary education in a relevant discipline About Keller Construction Ltd. For over 60 years, Keller Construction Ltd. has been a trusted leader in commercial construction across Western Canada. We?re known for delivering quality, innovation, and reliability, creating spaces that bring our clients? visions to life. From retail and office spaces to

Qué es Deazy Deazy es una plataforma/marketplace de UK que conecta empresas que necesitan desarrollo de software con agencias de desarrollo en todo el mundo. Ellos consiguen el cliente, definen el proyecto y luego lo asignan a una agencia como Somnio para ejecutarlo. Básicamente son un intermediario entre el cliente final y nosotros. Cómo funciona el modelo Deazy factura al cliente final a su propia tarifa (en este caso están hablando de EUR 47/h, aunque todavía hay que confirmar si ese es el rate al cliente o lo que pagan al proveedor). Nosotros le facturamos a Deazy a un rate más bajo, y la diferencia es su margen. Por eso la tarifa introductoria que les estamos ofreciendo es USD 45/h - USD 40/h — pensada para que Deazy tenga margen cómodo y nos priorice y abrir la cuenta Si la relación funciona, Deazy nos puede asignar proyectos de forma recurrente sin que nosotros tengamos que salir a conseguirlos. Es un canal de ventas indirecto, ellos traen el cliente, nosotros entregamos. El volumen potencial es importante si nos posicionamos bien con ellos. Deazy nos conoce principalmente como agencia Flutter. El trabajo ahora es mostrarles que también somos fuertes en React Native, React, Node.js , Python y AI Please mention the word JOYOUSLY and tag RMmExMzpkMjAwOjEzOjcxOjox when applying to show you read the job post completely (#RMmExMzpkMjAwOjEzOjcxOjox). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don't have job titles. Instead, it's about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. What we offer Innovative culture: You'll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what's possible. Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. Co-working : If you're not located near one of our main hubs, we offer a monthly co-working stipend. About the role The Payments team owns how ElevenLabs charges customers: billing, usage tracking, pricing and payments across self-serve and enterprise. Everything we do has to be correct, because it underpins the company's revenue and is immediately visible to every customer and team. We are hiring full stack engineers (backend leaning) to expand and evolve our payments systems. Your responsibilities might include: Building and maintaining usage tracking so that requests are metered accurately without impacting latency. Leading our migration of enterprise pricing and usage processing, including new stream-processing services for usage events. Making it easy for customers to upgrade and pay, including paying through different entities and supporting new payment providers. Working with Finance and Tax teams to meet compliance, audit and reporting requirements. Enabling pricing and Growth experiments with Growth and product teams. Debugging complex customer billing scenarios: piecing together what happened from the customer's experience, logs and code, and fixing the cause. Collaborating with Sales, FDEs, Finance and engineers across the company. Much of this work extends or replaces systems that already exist, so you will scope carefully, plan migrations, and roll changes out without disrupting customers. Requirements We do not require any formal experience, certifications, or degrees. Instead, we are seeking engineers who can show they have solved impressively hard problems, through past projects or GitHub contributions. We do require: Expertise in Python. A strong background in backend development. Experience with common software and system design patterns and infrastructure, including APIs, cloud infrastructure tools, storage solutions and data structures. Strong test design and security fundamentals. Care and attention to detail when changing live systems that handle money. The ability to learn a large existing system quickly and to debug complex production issues. Bonus: Experience with payment processing providers, or with billing and usage-based pricing systems Experience with stream processing or high-throughput event pipelines. Experience working with finance, tax or audit requirements. Experience with Kubernetes. Location Our team is based across the UK, EU and US, and this is our main focus. We are flexible for exceptional candidates elsewhere. You can work remotely, or from our offices in Dublin, London, New York, San Francisco and Warsaw. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses. Find Jobs in Germany on Arbeitnow

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don't have job titles. Instead, it's about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. What we offer Innovative culture: You'll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what's possible. Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. Co-working : If you're not located near one of our main hubs, we offer a monthly co-working stipend. About the role Core Platform builds the foundations every other team at ElevenLabs builds on: how users, workspaces and permissions work across our products. Our systems sit on the path of every request and are relied on by millions of users and by enterprise customers, so correctness, security and safe rollout matter as much as speed. We are hiring full stack engineers (backend leaning) for two focus areas. Depending on the team you join, your responsibilities might include: Workspaces & User Management (serving external customers) Building and improving the building blocks customers touch directly: API keys, login experience, analytics, admin tooling, workspace security and more Working closely with Sales, FDEs and customer teams to turn enterprise and self-serve feedback into the right improvements, and helping large customers with complex organisational structures. Shipping customer-facing features end to end, from backend services to the admin and settings UI. Permissions & Resources (serving ElevenLabs engineering teams) Designing and building generic resource and permissioning services that product teams use to build features safely and quickly. Solving hard, largely greenfield problems at scale, for example how a customer with a million agents assigns and manages access. Working across product teams to understand their needs, and driving adoption with changes that don't require every team to rework their code. In both teams you will: Scope work as part of a large existing system: understand what exists, what could go wrong on rollout, whether a migration is needed, and how downstream teams are affected. Roll out changes safely and with minimal disruption to existing users, teams or systems. Debug and operate what you build, working from customer reports, logs and code. Own features from scoping to completion, with the support of experienced engineers who are happy to mentor. Requirements We do not require any formal experience, certifications, or degrees. Instead, we are seeking engineers who can show they have solved impressively hard problems, through past projects or GitHub contributions. We do require: Expertise in Python. A strong background in backend development, with comfort working across the stack where the work needs it. Experience with common software and system design patterns and infrastructure, including APIs, cloud infrastructure tools, storage solutions and data structures. Strong test design and security fundamentals. Care and attention to detail when changing live, business-critical systems, and the ability to learn a large existing codebase quickly. Comfort with ambiguity: working out what should be built, and prioritising among competing signals. Bonus: Experience with authentication, authorization or permissioning (OAuth, SSO/SCIM, RBAC or similar). Experience with Kubernetes. Experience building internal platforms or services used by other engineering teams. Location Our team is based across the UK, EU and US, and this is our main focus. We are flexible for exceptional candidates elsewhere. You can work remotely, or from our offices in Dublin, London, New York, San Francisco and Warsaw. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses. Find more English Speaking Jobs in Germany on Arbeitnow

Become a Part of ACCURIDS Join us and help shape the future of pharmaceutical data! At ACCURIDS, we're building the data backbone behind life-science innovation — a system that identifies, links, and standardizes critical enterprise data in compliance with global standards such as ISO IDMP. We help global life-science companies launch products faster, more safely, and with better patient outcomes. At ACCURIDS, you'll join a collaborative, growth-driven environment where your work makes a real impact from day one. As a key member of our Product Development team, you will operate with a high degree of autonomy while collaborating closely with backend and frontend engineers, QA, DevOps, and product owners. In this role, you will directly align with cross-functional engineering stakeholders and indirectly impact our customers through the features and fixes you deliver, while having direct access to our CTO as a trusted mentor and technical sparring partner How you'll make an impact: Own features end-to-end: Take full ownership of user-facing features across the stack, from refining business logic in modern Java/Spring Boot to building responsive React/TypeScript interfaces via GraphQL and REST APIs. Amplify velocity with AI: Lead by example in our AI-native engineering culture. You will use tools like Cursor, Claude, or Gemini to accelerate scaffolding, refactoring, and test writing, while acting as the ultimate authority on architectural integrity, security, and quality. As agents take on more of the routine coding, your leverage moves up a level - you direct them, shape the architecture, and own the quality of what ships. Shape next-gen architecture: Drive our evolution toward a multi-module Spring Modulith architecture, optimize complex PostgreSQL and Elasticsearch queries, and dive into domain-specific RDF semantic data structures. Elevate quality & team standards: Raise the bar on engineering hygiene by maintaining rigorous test coverage (JUnit, Testcontainers, Playwright), conducting sharp merge request reviews (including AI-generated code), and mentoring junior engineers. What helps you succeed: Proven SaaS Experience: 5+ years of shipping and owning full-stack features in production software. A degree in Computer Science, Fachinformatiker training, or strong hands-on experience as a career-changer are all welcome. AI-Native Mindset: AI tools (Cursor, Claude and Gemini) are an integral part of your daily workflow. You view AI as an output amplifier, combine high curiosity with deep technical judgment, and reject skepticism toward AI-assisted coding. Location & Work Permit: You are based in Germany within a reasonable commuting distance to our Cologne office (NRW) and hold a valid German work permit. Full-Stack Core Stack: Deep expertise in modern Java (17+), the Spring Boot ecosystem (Spring Security, Spring Data JPA), React 18, TypeScript, Redux, and GraphQL (Apollo Client). Data & Testing Rigor: Strong hands-on experience with SQL/PostgreSQL, Flyway migrations, full-stack testing (Unit, Integration, E2E), and GitLab CI/CD pipelines. Languages: Business fluent English is required; German skills are a strong plus. Bonus Impact: Prior experience with semantic web tools (RDF, SPARQL, Apache Jena), Material UI (MUI 5), Elasticsearch, or pharma/life-sciences domains (FHIR, IDMP) is a major plus. Why you'll love working here: Impactful Career Growth: Evolve into a Technical Lead / Lead Engineer role or deepen your specialization in semantic data platforms, AI features, or platform architecture as we scale. Epic Office & Hybrid Work: Work from our brand-new office in the KölnTurm, featuring breathtaking views over the city (even higher than the view from the Cologne Cathedral!). Enjoy flexible hybrid options. (Note: On-site presence in Cologne/NRW is required; fully remote work is not offered). Community & Industry Events: Connect and grow your network through exclusive industry events hosted regularly right in our scenic office space. Competitive Compensation: Fixed salary package of €75,000 – €100,000 per year for a full-time, permanent position. Work-Life Balance & Perks: 30 days of paid vacation, a personal learning budget, hardware of your choice (Mac, Linux, Windows), and your choice between a subsidized Urban Sports Club membership or a €50/month City Plus Card. Empowered Culture: High trust, flat hierarchies, and an environment where your decisions directly shape the product. Not ticking every box? Not ticking every box? We encourage you to apply anyway! We know great talent doesn't always follow a checklist and we care more about your potential, curiosity, and motivation to learn. At ACCURIDS, we're committed to building a diverse and inclusive team. We especially encourage women and people from underrepresented backgrounds in tech, science, and data to apply. Find more English Speaking Jobs in Germany on Arbeitnow

Brief info about Vinted Our mission is to make second-hand the first choice, and we're looking for people who want to help us get there. Every day, we work together to help our members buy and sell pre-loved clothing and lifestyle items, giving each piece a second life – or even a third. The Vinted Group is made up of three business units that support this mission: Vinted Marketplace is Europe's leading platform for second-hand fashion and a go-to destination for all kinds of pre-loved items, with a growing range of categories. Our platform connects millions of members across 20+ markets, helping great items find a new life. Vinted Go enhances the shipping experience with a vast network of over 500,000 pick-up and drop-off points, partnering with more than 60 carriers across Europe, with added services like item verification for peace of mind on high-value pieces. Vinted Pay is the newest part of the Vinted Group, dedicated to bringing secure, reliable payments to buyers and sellers across Europe. Seamlessly integrated into the Vinted app, it helps keep every transaction safe, efficient, and easy for our members. Founded in 2008 in Lithuania, Vinted began as a way for friends to find new homes for clothes they no longer needed. In 2019, we became Lithuania's first unicorn! Today, our headquarters remain in Vilnius, and we've grown with offices across Europe, supported by a team of over 2,000 people. Information about the position We are looking for an Analytics Engineer to join our Revenue, Purchase & Order Analytics Engineering team. The area sits at the heart of some of the most critical customer journeys and commercial systems across Vinted's Marketplace Business Unit, spanning Revenue (pricing and advertising), Purchase (inquiries and checkout), and Orders (transactions and fulfilment). Together, these domains create a rich, high-volume, and deeply interconnected data ecosystem. As an Analytics Engineer, you'll work at the intersection of data, engineering, and product, building trusted data products that power business and product decision-making across these domains. In this position, you'll Build scalable data products: Design, develop, and evolve reliable, cost-efficient data products and pipelines that power analytics and machine learning use cases across the domains. Build quality in by design: Embed automated testing, validation, and quality controls throughout the data lifecycle to ensure data remains accurate, consistent, and complete. Strengthen observability: Improve monitoring and alerting to detect and address issues before they impact downstream consumers. Own production reliability: Take end-to-end ownership of production data systems, from investigating incidents and diagnosing root causes to implementing durable fixes that prevent recurrence and improve long-term resilience. Who you'll work with: Revenue, Purchase & Order Analytics Engineering: Join a talented and driven team of 7+ Analytics Engineers, working across interconnected domains and tackling complex, high-impact data challenges. Data & Decision Scientists: Work closely with Data Scientists and Decision Scientists to build trusted data foundations that enable better business and product decisions. Engineering, Product & Business: Partner with Backend Engineering, Product, and Business teams to understand their needs, shape technical requirements, and translate them into well-designed, trusted data solutions. The Analytics Engineering Guild: Be an active member of Vinted's 40+ member AE Guild, benefiting from shared tooling, engineering standards, and knowledge across domains. You'll also have opportunities to contribute to "side quests" that improve engineering practices, tooling, and reusable capabilities. About you Experience working as an Analytics Engineer, Data Engineer, or in a closely related data role. Strong SQL and data warehousing fundamentals, with the ability to build clean, performant, and maintainable data solutions. Hands-on experience with dbt or a similar data transformation framework, building well-structured and tested data models. Experience working with a cloud data warehouse such as BigQuery, Snowflake, Redshift, or similar. A solid understanding of data modelling principles and their application to real-world analytical problems. Familiarity with workflow orchestration tools such as Airflow, Dagster, or similar. Comfortable working with high-volume, business-critical data, balancing a high bar for quality and reliability with a pragmatic bias for action. Strong written and verbal communication skills in English, with the ability to clearly explain technical concepts and trade-offs to both technical and non-technical audiences. Work perks The opportunity to benefit from our share options programme 25 days of paid annual leave Newest MacBook models Confidential Employee Assistance Program (EAP) for you and your family Frequent team-building events Home office support: we provide IT workstation equipment and a personal budget of up to €540 for home workplace furniture Lunch benefit per working day A personal monthly budget for shopping on Vinted Collective Defined Contribution Pension plan NS Business Card for your commute to the office by public transport Company bike leasing scheme Monthly budget for a flexible benefits platform Work from Home allowance [[DELETE FOR Breda, Utrecht, Amsterdam Store]] A dog-friendly office Working at Vinted Workation policy Better balance holidays with workdays by working remotely! Up to 90 days per year in the EU, of these, 21 days can be spent globally. For non-EU citizens, it's 21 days worldwide. This can be combined with time off for vacation or personal time. Individual learning budget Each year, you'll be given a learning budget (starting at €3,000), and a total of up to 10 working days over a 2-year period to support your personal and professional development. Hybrid work Our hybrid model, with 2 recommended office days a week, gives you and your team the flexibility to decide if and when you want to work from home, and when to catch up in person. Equal opportunity We welcome applications from everybody, regardless of your background, identity, or life experiences. Job openings come with guides, not checklists. If you're excited about a role, but don't identify with every point in the 'About you' section, apply anyway – you might still be the perfect match! The annual gross salary range for this position excluding 8% holiday pay is: €53.900 — €72.900 EUR Find Jobs in Netherlands on Arbeitnow