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What we're looking for Do you like knowing exactly why a number moved? As an FP&A Data Analyst at ARQ, you'll own the data foundations behind our revenue, cost and management reporting. You'll sit between Finance and Engineering: building the models that tell us how the business is performing, keeping them accurate every day, and turning them into insight that leadership uses to make decisions. This is a hands-on role for someone who is as comfortable in a dbt project or a Python codebase as in a P&L. You'll work closely with Finance, Treasury and Engineering, and your work will feed management, investor and regulatory reporting directly. What you'll be doing Own the finance data layer: Maintain and extend our dbt repo. That means building and refactoring models, writing tests, and keeping finance data clean, documented and reliable. Revenue and cost models: Build and maintain the models behind revenue, unit economics and operations costs (payment rails, FX, card, banking partners, vendors) across our markets. Management accounts: Support daily and monthly management accounts on both accrual and cash basis. Reconcile them to source systems and explain movements. Budgeting and forecasting: Feed actuals into the budget and forecast, run variance analysis, and help Finance understand what is driving performance. Python services: Help maintain and improve the internal Python services and pipelines that support finance reporting and reconciliation. Data mapping and requirements: Map data sources across our product and payments stack, and document business logic and assumptions so others can trust and reuse your work. Onboard new business: When we launch a new product, partner or market, make sure it flows correctly into financial reporting, controls and processes. Dashboards and reporting: Build and improve dashboards with Finance and Controllership that track key metrics and surface business drivers. Anomalies and controls: Spot breaks, unusual spikes or data quality issues early, find the root cause, and fix it at the source. Data literacy: Help the wider team understand and self-serve finance data. What you'll need 3+ years in a data, analytics or FP&A role, ideally in fintech, banking or payments Strong SQL and solid Python Hands-on experience with dbt (or a similar transformation tool) and version control (Git) A good grasp of financial statements, management accounts and core finance concepts (accruals, revenue recognition, unit economics) A quantitative background, through education or experience Strong attention to detail and a quality-first mindset, while still able to work to tight deadlines Clear communication: you can explain a variance to a CFO and a data model to an engineer Initiative to automate repetitive work and improve how things are done Nice to have Experience with regulatory or external reporting Exposure to reconciliations, treasury or general ledger data Experience with BI tools (Metabase, Looker, Power BI) and orchestration tools (Airflow or similar) Experience maintaining production code: code review, testing, CI/CD Spanish or Portuguese proficiency Benefits Competitive salary Sign-on stock options bonus, so you share in the company's success Discretionary performance bonus (stock options) Paid annual leave Real ownership of work that directly affects how the business is run The latest technology to work with A strong team that will help you grow your skills Find more English Speaking Jobs in United Kingdom on Arbeitnow

PIX4D is seeking a talented Business Data Analyst to bridge Finance, Product Management and Commercial Operations (Sales and Marketing), develop complex analytical tools to drive strategic decisions and optimize processes. You will be a member of PIX4D's dynamic Finance team, in a hybrid work environment, based in Lausanne, Switzerland. In this cross-functional role, you will query complex datasets, build dashboards, define KPIs, and translate emerging trends into actionable insights for stakeholders. You will balance data integrity with commercial impact, transforming raw data into insights that support high-level strategic decisions. Responsibilities Data Analysis & Reporting: Cleaning, manipulating, and analyzing large datasets to identify trends, patterns, and anomalies. Dashboard Development: Creating interactive dashboards and reports using dashboarding tools and leveraging AI-powered tools for enhanced automation and visualization. AI & Automation: Leveraging Generative AI, Agentic AI, and Model Context Protocol (MCP) to streamline data workflows and enhance intelligent decision-making. Database Querying: Using SQL to extract and prepare data from various systems. Actionable Insights: Translating complex data into clear, actionable recommendations for business growth, efficiency, and optimization. Stakeholder Collaboration: Working with cross-functional teams to define business requirements and Key Performance Indicators (KPIs). Data Governance: Ensuring data integrity, accuracy, and standardization. Requirements Technical Skills: Proficiency in SQL, Excel (advanced), and experience using data visualization tools (e.g. Tableau, Power BI, Looker). AI Proficiency: Familiarity with Generative AI, Agentic AI, and Model Context Protocol (MCP) implementations. Analytical Abilities: Strong statistical knowledge, problem-solving skills, and attention to detail. Communication: Ability to tell a story with data to non-technical stakeholders. Education/Experience: A master's degree in business, economics, statistics, or data analytics, coupled with a first experience in supporting data-driven decisions. What we offer Exciting work with cutting-edge technology in an international company. Well-located office near Lausanne, with easy access by public transport. Flexible working hours and hybrid work possibility. 25 days of paid vacation. Employee Assistance Program with Lyra providing Mental, Legal and Financial assistance. Contribution to some events: Bike to Work (the biggest health and cycling promotion campaign in Switzerland), Lausanne Triathlon. Discounts for local stores, restaurants and other services. Company Social Events. Learning and professional development opportunities. Working environment PIX4D is a unique, fun, and intellectually stimulating company where you can grow and excel in your field. Our environment is authentic and multicultural, a place where we respect and learn from each other in the pursuit of being the best at what we do. Get more information here . Recruitment PIX4D promotes diversity and offers opportunities across all levels and career paths in all of its offices regardless of gender, race, or religion. We use standardized and structured interviews to ensure all candidates are treated equally and avoid any discrimination. Company When you work at PIX4D, you empower professionals worldwide to digitize reality through survey-grade georeferenced 2D maps and 3D models. These outputs can be measured, analyzed, and shared, all based on data from images taken by plane, drone, or mobile phone. We build solutions that take advantage of technology including reality capture, computer vision, digital twins, and machine learning to help solve our customers' most complex challenges. Founded in 2011, PIX4D has its headquarters in Lausanne, Switzerland and commercial and R&D offices in Denver, Berlin, Tokyo, Bucharest and Madrid. Additional information All our candidate applications are screened by humans and not an AI recruiter. #LI-EM1 #Hybrid Find more English Speaking Jobs in Switzerland on Arbeitnow

Seeq builds advanced analytics software that unlocks insights from industrial process data—empowering companies in sectors like pharmaceuticals, oil & gas, chemicals, and power generation to optimize operations and drive business value. As a remote-first company since our founding, we're built for collaboration across time zones. Our engineering and customer-facing teams thrive in a supportive, agile environment that emphasizes curiosity, learning, and continuous improvement. Analytics Engineers at Seeq serve as trusted technical advisors to our customers, helping them solve complex process challenges and maximize value from our software. You'll work directly with end users to design scalable, high-impact analytics solutions that drive engagement, adoption, and tangible business outcomes. Key Duties & Responsibilities: As a key customer-facing team member, you will participate in the following activities: Customer Technical Adoption Serve as the customer's trusted technical advisor by building relationships with champions and end-users through solution design, implementation guidance, and technical mentorship. Leverage customer relationships to perform constant discovery and uncover high-value, high-impact use case opportunities directly linked to the customer's critical business workflows and objectives. Collaborate with the customer and account team to develop and execute strategic plans for adoption of Seeq and completion of key use cases addressing business objectives. Advise customer champions and end-users to implement and operationalize the use cases to deliver a high return on investment for the customer. Occasionally may require hands-on delivery to accelerate a customer's high value use case. Upskill Seeq's partner ecosystem to be an extension of the Analytics Engineering team to provide support globally and in localized languages. Product Expertise Be a product expert, maintaining knowledge of how to implement and troubleshoot solutions in the platform, including integrations with other systems. Identify gaps in Seeq's capabilities required to meet customer needs and give feedback to the product organization to influence the product roadmap. Ability to assess and position Seeq's benefits relative to competitive products in the marketplace or in the customer's ecosystem. Work with the product team to design, implement, and test new functionalities that meet customer needs. Industry Expertise Build trust with customers through the application of industry-specific knowledge and awareness, including market and use case trends specific to their area. Collaborate with internal teams (including industry principals, product marketing, and solution consulting) to influence industry-specific strategy. Requirements Bachelor's degree (or equivalent experience) in a technical field such as chemical, mechanical, electrical, or industrial engineering; degrees in operations research, data analytics, or applied math will be considered. Minimum of 5-7 years of experience in process engineering, reliability engineering, technical pre-sales engineering (SaaS business, OT space preferred), or other related industry fields. Deep technical expertise in one or more industrial process manufacturing verticals and a sound understanding of broad market drivers and business priorities. Examples of industrial process industries are chemicals, pharmaceuticals, power & utilities, metals & mining, food & beverage, pulp & paper, etc. Empathy with and experience in the difficulties involved in trying to solve real-world business and industrial challenges involving dense time-series process data with inadequate or overly complex analytics tools, such as Excel, MATLAB, Python, BI tools, or otherwise. Responsive and adept at building trust and rapport with customers, prospective customers, partners, and internal multidisciplinary teams. Effective and influential technical communicator. Enjoys dissecting, articulating, and translating a combination of customer-stated and customer-implied needs. Able to communicate with subject matter experts, managers, directors, and C-level audiences. Creative ability to develop and propose technical solutions leveraging the latest features and capabilities in the software and broader technology landscape. Programming experience in Python and/or other programming languages is a plus. Ability to independently prioritize work based on account team strategy, customer business needs, and Seeq company objectives. Prior experience using Seeq is highly preferred. Python programming skills is a plus. Broad knowledge of the SaaS industrial analytics ecosystem is a plus (e.g., Azure, AWS, Databricks, AVEVA, Aspen Tech, IOTA, Cognite, C3.ai, Palantir, etc.). Benefits Seeq is a remote-first (only) company founded by serial entrepreneurs. Our executive team and board of directors have extensive experience with successful startup ventures in high-growth environments. We are founded on the idea that companies need better solutions for quickly and easily getting business insight from their industrial process data. Our mission is to provide software and services that convert that data into meaningful information that the business can use to improve profitability. We have a wonderful, kind-hearted, talented team that loves to collaborate, lead by example, and exceed our customers' expectations. We are certified as a great place to work, an emerging startup, the Technology Fast 500, and Inc. Magazine's Best Places to Work. The Perks of Working at Seeq Competitive salary €111,000 - 129,000 depending on experience. Variable bonus Benefits: Unlimited PTO Generous home office allowance The best co-workers (we've analyzed the data, so we know it's true.) Pet-friendly workspace (your dog will be so happy to have you home) You love your job! Seeq provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. You must be authorized to work in the country in which you reside. Seeq does not sponsor US F1 or H-1B work visas Find Jobs in Germany on Arbeitnow

About Us Legora is redefining how legal work gets done. Not built for lawyers, built with them. We work alongside the world's best legal teams, who expect excellence, precision, and speed, and we hold ourselves to the same bar. Our AI-native workspace lets legal professionals move faster, think more clearly, and operate with sharper precision. By analysing thousands of documents in minutes and powering end-to-end workflows, we cut through complexity, teams can focus on what matters: judgment, strategy, and outcomes. 2,100+ customers across 80+ countries trust us, including Cleary Gottlieb, Goodwin, Linklaters, White & Case, Dentons, and Barclays. We've scaled to $200M+ in ARR , with teams across Europe, North America and APAC, and continue to expand through acquisitions including Qura, Walter AI, Graceview, Cadastral, and Wexler. We partner with world-class performers: including Aaron Judge and the New York Yankees, Ludvig Åberg (and his caddie), and campaigns featuring Jude Law. Joining Legora means three things. We lean in: ownership over titles, outcomes over intentions. We fight for excellence: high standards, direct, ego-free feedback. We grow together: as a team and with our customers. Mission before ego. Everyone contributes. No one coasts. If you're driven by impact, pace, and raising the bar. This is the place. The role As a Senior Data Scientist for Product at Legora you will turn data into decisions. You'll sit close to the business, taking questions end-to-end: shaping the metric, modelling the data in dbt, running the analysis, and making the recommendation. You'll pull in new data sources when you need to. Insights are useful; impact is what we hire for. We're an AI-first data team . We believe the data function should be redesigned around what AI now makes possible, not retrofitted with it, and we want someone excited to help define what that looks like in practice. There's no single profile we hire for. Some of us are strongest at data modelling and analytics engineering, some at experimentation and causal inference, some at machine learning, some at stakeholder influence. You'll likely be excellent at one or two of these and competent across the rest. That's the bar. We're a small, centralised team supporting the whole company, hiring for the person , not the seat. Depending on your strengths and where we have the biggest gap when you join, you could be embedded primarily with: Product : instrumentation, feature adoption, user behaviour, A/B testing, shaping the roadmap with PMs and designers. Finance & RevOps : ARR, NRR, forecasting, board reporting, pricing analytics across a 40-country footprint, and unit economics for an AI-native product. Growth & Marketing : acquisition funnels, attribution, campaign measurement, lifecycle analytics, and what actually moves enterprise legal buyers. GTM & Customer Success : pipeline analytics, customer health, expansion signals, and retention drivers in a category that didn't exist three years ago. You'll partner directly with leaders across Product, Engineering, Finance, and GTM, most of whom are unusually data-fluent and will happily open a SQL editor with you. Your work will directly influence how we prioritise, how we sell, how we price, and how we build. What you will be doing Partner with stakeholders across Product, Finance, GTM, Growth, and beyond to translate ambiguous questions into structured analyses and clear recommendations. Define the metrics that matter, design the experiments or analyses that test them, and measure the impact of what we ship. Conduct deep-dive analyses on the questions that move the business, and proactively surface the questions nobody is asking yet. Model the data you need for your work in dbt, pulling in new sources when necessary, and partner closely with data engineering on anything that needs to scale beyond your immediate use case. Build dashboards and reporting that scale beyond you, so the company can answer its own questions where possible. Help shape how the data team operates as we scale: standards, tooling, ways of working. What you'll need Strong proficiency in SQL and Python . Solid grasp of data modelling and what it takes to build analytical work that is reliable and trusted. Excellent communication skills and the confidence to influence decisions through data storytelling, including pushing back when the data doesn't support what someone wants to do. Genuine depth in at least one of the following, with competence across the rest and curiosity to grow: Data modelling and analytics engineering (dbt, dimensional modelling, semantic layers, self-service) Experimentation and causal inference (A/B test design, quasi-experiments, statistical rigour) Machine learning and applied data science (forecasting, prediction, segmentation, evaluation) Product analytics and metric design (funnels, cohorts, adoption frameworks, North Star metrics) Nice to have Experience in a product-led or SaaS environment, ideally B2B. Hands-on experience with our stack: Snowflake, dbt, Hex, Dagster . Prior experience as an early data hire at a fast-growing company, i.e. you've built the muscle, not inherited it. Most importantly, you are someone who "Gets stuff done" and understands building a $10bn company isn't always glamorous and takes hard work and long hours. Thrives in a fast-paced environment where the answers aren't always clear and processes are few. Is genuinely domain-curious. You don't need to have worked on every part of a business, but you should be excited to. Legora is an Equal Opportunity Employer At Legora, we believe great teams are built on diversity of thought and experience. We're proud to be an equal opportunity employer and committed to creating an inclusive, high-performance culture where everyone can do their best work. We welcome people of all backgrounds and don't discriminate based on race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, disability, veteran status, or any other characteristic protected by law. Find Jobs in United Kingdom on Arbeitnow

Who We Are MAP | WPP Enterprise Solutions designs, builds, and operates the growth systems that competitive businesses rely on. In a world where Al is reshaping how companies drive growth, we lead clients in business transformation and marketing modernization, connecting strategy directly to execution. Our 12,000 experts in engineering and platforms, commerce, consulting, content transformation, CRM, and CX work within a unified global operating unit across 40+ markets. WPP Enterprise Solutions works alongside best-in-class partners including Adobe, AWS, Braze, Google, Microsoft, Salesforce, and Shopify, as well as innovators in AI, to deliver growth solutions tailored to the needs of our clients' businesses. About WPP MAP is part of WPP , the trusted growth partner for the world's leading brands. Powered by exceptional talent and our agentic marketing platform WPP Open, WPP unites cutting-edge media intelligence and data solutions, creativity, production, enterprise solutions and expert strategic counsel. Do you have strong data and analytical skills, with a passion for shaping business strategy? Can you architect, build, and apply modern data models to deliver impactful marketing insights? Are you seeking an exciting role with significant opportunities for leadership and growth? Then you might be the Senior Data Insights Consultant we are looking for! What will your day look like? As our new Senior Data Insights Consultant, you will join our growing Technology and Data team. Here, you will be a key leader in helping our clients make data-driven decisions to enhance their digital communication on an enterprise scale. This entails designing, enabling, and delivering complex data solutions and integrations for various campaign platforms. More specifically, your tasks will include: Architecting, building, and delivering value-adding insights solutions, serving as a key advisor to clients on how to leverage their data assets to optimize large-scale communication strategies. Performing advanced analysis to uncover actionable patterns, trends, and opportunities that directly inform client strategy and decision-making. Designing and running test-and-learn programs (A/B tests, incrementality, holdouts) across channels to measure impact and continuously optimize communication performance. Partnering with senior stakeholders to define strategic business questions and translating them into robust analytical frameworks and data roadmaps. Supporting or leading the data-stream on complex, large-scale projects with globally recognised brands, ensuring that data solutions and integrations are designed and delivered for scalability and business impact. Driving ongoing proactive client ideation — identifying new opportunities, use cases, and data-driven initiatives that help clients grow their business. Helping drive agentic AI adoption, exploring and embedding agentic solutions into our data and insights workflows to enhance efficiency and client value. Providing answers and insights to business-related questions via automated reporting solutions as well as ad-hoc data analyses, including building reports and insights dashboards within marketing platforms such as Adobe and Salesforce. Mentoring, reviewing, and advising less senior team members — elevating quality, fostering technical excellence, and supporting their professional growth. Collaborating with highly skilled specialists including Account Managers, Architects, Developers, Creatives, Strategists, Data Scientists and Marketing Operations experts to service our clients coherently. Who are you going to work with? You will join a team of hands-on Data Insights Consultants, Data Scientists and Data Engineers who are passionate about bringing value and knowledge from data. We are all about unlocking insights from data through analytics and making that insight applicable in 1:1 data-driven communication and CRM. Your work will always be firmly anchored in data in a cross-disciplinary setting, collaborating closely with highly enthusiastic experts from Strategy or Creative backgrounds. What do you bring to the table? As a person, you possess a strong consultancy mindset, demonstrating resilience, curiosity, and an eager-to-learn attitude. You combine this with strong business acumen, allowing you to understand and anticipate client needs effectively. You are outgoing and love being part of interdisciplinary projects and solutions. You are eager to learn and quick to understand the complexity of high-tech dialogues and solutions. Furthermore, you have the drive, enthusiasm, and technical credibility to act as the primary data and insights advisor for senior client leadership, guiding them through complex challenges and inspiring them to grow their business. It's an advantage if you have consulting, agency experience or marketing domain knowledge, but it's not a requirement. In addition, you have: Technical skills A minimum of 5 years of experience in a consultant/business liaison role related to data, BI, analytics or reporting solutions. Can independently design, build, and optimize modern analytics solutions that are scalable, maintainable, and ready for real-world production use. Write, debug, and optimize complex SQL queries, ensuring clarity, efficiency, and production readiness. Design and build scalable dimensional data models from raw source systems (fact/dimension structures, performance-aware design). Apply strong data modelling principles, governance standards and practices that ensure data accuracy, consistency, and security. Develop and manage DBT transformations using layered architecture, including testing and documentation best practices. Build production-ready Power BI semantic models and dashboards, including advanced DAX measures, performance optimization, and secure data access (RLS). Work collaboratively using GitHub, following structured branching, pull request, and code review workflows. Familiarity with or a strong interest in the application of AI and agentic frameworks, and machine learning principles to generate conversational analytics, predictive and advanced marketing insights. Comfortable working in modern cloud data environments (e.g., Snowflake, BigQuery, Databricks, Fabric). Understanding the data structures and reporting capabilities within major marketing and martech platforms (e.g., Adobe Campaign/AJO, Salesforce Marketing Cloud). Ability to build and deliver reports and insights dashboards natively within these tools is a strong advantage Interpersonal skills A proven ability to build trust and act as a strategic partner to senior-level clients and internal leaders. You can confidently navigate complex, technical stakeholder environments and influence decision-making through data-driven reasoning. Exceptional written and verbal communication skills in English, with the ability to articulate complex data concepts and insights into clear, compelling narratives for both technical and senior business audiences. The ability to critically assess complex business challenges, ask probing questions to uncover root causes, and propose robust, data-driven solutions. Proven experience in coaching and mentoring junior team members. You actively foster a culture of technical excellence, collaboration, and continuous learning within the team. You are a self-starter who can think critically, identify issues and opportunities autonomously, and take the initiative to propose and implement corrective actions. A leader in personalized customer experiences WPP Enterprise Solutions MAP is a world-leading Centre of Excellence that helps businesses humanize the relationship between the brand and the customer through hyper-personalisation at scale, marketing automation, and CRM. With the brain of a consultancy, the heart of an agency, and the power of technology and data, we work with some of the world's most admired brands (including Ford, Jaguar Land Rover, Nespresso, IKEA, Lego, and Coca-Cola) to help them on their transformation journey to becoming truly customer-centric. Together, we are 1,000+ technology specialists, data scientists, strategic thinkers, consultants, operations experts, and creative minds from 55+ nationalities. A global network We are part of the global VML network that encompasses more than 30,000 employees across 150+ offices in 60+ markets, each contributing to a culture that values connection, belonging, and the power of differences. #LI-EMEA WPP (MAP/VML) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. When you click "Apply now" below, your information is sent to MAP/VML. To learn more about how we process your personal data during when you apply for a role with us, on how you can update your information or have the information removed please read our Privacy policy . California residents should read our California Recruitment Privacy Notice . Find more English Speaking Jobs in United Kingdom on Arbeitnow

Als Senior Data Engineering Consultant bij BigData Republic adviseer je toonaangevende organisaties in Nederland over complexe data-vraagstukken. Je combineert hands-on engineering met een adviserende rol: je schrijft productie-klare code, denkt mee over strategische bedrijfsbeslissingen en begeleidt collega's om naar een hoger niveau te groeien. Je hebt je carrière opgebouwd rond het ontwerpen en bouwen van datasystemen. Je werkt graag inhoudelijk mee, maar verliest kwaliteit, schaalbaarheid en duurzaamheid nooit uit het oog. Je bent een ervaren Data Engineer die vaak moeilijk in één functie te vatten is, omdat je op meerdere niveaus impact maakt. En je bent toe aan een nieuwe uitdaging. Bij BigData Republic ontwikkelen we data-applicaties, bouwen we data-platformen, creëren we voorspellende modellen en ontwerpen we robuuste data-infrastructuren. We werken vanuit een software-engineering mindset, met focus op technische hoogstaande kwaliteit. Kennisdeling en thought leadership vormen de kern van onze cultuur. Elke vrijdag organiseren we kennissessies op kantoor, we schrijven blogs, organiseren meetups en bezoeken en spreken op conferenties. Je werkt aan complexe projecten voor grote klanten in uiteenlopende sectoren, terwijl je onderdeel bent van een klein, informeel en hecht team van vakgenoten dat elkaar uitdaagt en inspireert. Bij BigData Republic ben je de expert in de kamer én leer je elke dag van je collega's. En vooral: je kunt hier jezelf zijn. In de praktijk besteed je ongeveer 90% van je tijd aan klantprojecten. De overige tijd is expliciet gereserveerd voor eigen initiatieven: een pet project, innovatie of een idee dat je samen met collega's wilt uitwerken. Je past goed bij deze rol als je ervaring hebt met (een deel van) onderstaande tooling en concepten: Je hebt een sterke basis in; Python Cloud (AWS, GCP of Azure) Data pipelines bouwen en ouderhouden (ELT/ ETL) Data warehousing (Databricks, Snowflake of BigQuery) Orchestratie (Airflow, Dagster) Terraform, CI/ CD Pluspunten, maar geen vereiste: Streaming (Kafka, Spark, Flink) DevOps (Kubernetes) Data Governance en management (bijvoorbeeld dbt) Ervaring met AI en of ML infrastructuur (feature stores, vector databases, ML pipelines) Je hoeft niet alles te beheersen. Nieuwsgierigheid, leergierigheid en technische diepgang vinden we belangrijker dan een perfecte checklist. Benefits Salaris tussen €5.500 en €6.700 bruto per maand (op basis van 40 uur), afhankelijk van kennis, ervaring en senioriteit Vakantiegeld, 8% Lease- en Mobiliteitsbudget van €925 per maand Bonus- en pensioenregeling 25 Vakantiedagen Hybride werken: de juiste balans tussen thuis, kantoor en klant Vrije keuze in laptop en telefoon Ruimte voor kennisdeling, certificeringen en conferentiebezoek (haal die badge!) Vrijdagmiddagborrels, sportactiviteiten en sociale events (vrijblijvend) Uitdagende én leuke projecten bij aansprekende klanten Een informele cultuur met ruimte voor initiatief en innovatie CAO & arbeidsvoorwaarden Conflux is aangesloten bij de Vereniging van Detacheerders Nederland (VvDN); op deze functie is de CAO voor Detacheerders Nederland (VvDN) van toepassing. Over BigData Republic BigData Republic is een high-end consultancybureau gespecialiseerd in data science, data engineering en machine learning. We zijn AI-native en combineren dit met diepgaande engineering kennis. Op deze manier bieden wij onze klanten technische begeleiding tot duurzame en innovatieve oplossingen. Als niche-consultancyteam onderscheiden we ons van de grote spelers: we leveren kwaliteit boven kwantiteit en willen een thought leader in ons vakgebied zijn. Voor onze klanten richten we ons op het creëren van businesswaarde met innovatieve datasolutions die een duurzame impact hebben. Kennisdeling en thought leadership zijn fundamentele pijlers van onze organisatie: elke vrijdag organiseren we kennissessies op kantoor, we schrijven blogposts, organiseren meetups en bezoeken conferenties. Bij BigData Republic kun je dé expert in de ruimte zijn, en tegelijkertijd elke dag iets nieuws leren van je collega's. Word onderdeel van BigData Republic Wij verwelkomen talent met diverse achtergronden en nodigen iedereen uit om te solliciteren, ongeacht gender, achtergrond of andere kenmerken. Interesse? Solliciteer eenvoudig via de Solliciteren -button. Heb je vragen over de vacature? Neem contact op met Puck Schelstraete (Talent & Development Lead) via Interim Talent Acquisition Specialist ) via +31 (0)6 40 87 55 89. Hopelijk tot snel! Find Jobs in Netherlands on Arbeitnow

Vestiaire Collective is the leading global platform for desirable pre-loved fashion and a pioneer in transforming how people consume fashion. Our mission is simple: make circular fashion the norm, not the exception. Through technology, expertise, and a highly engaged global community, we enable millions of people to buy and sell fashion in a more sustainable way. Founded in Paris in 2009, Vestiaire Collective is now a globally scaled marketplace with offices in Paris, London, Berlin, New York, Singapore, and Ho Chi Minh City, and logistics hubs across Europe, Asia, and the US. Today, we are a team of around 600 people from over 50 nationalities, united by a shared ambition: to drive meaningful change in the fashion industry. Our values, Activism, Transparency, Dedication, Greatness, and Collective, shape how we build, collaborate, and grow every day. About the role : As a Senior Analytics Engineer, you will play a key role in our data ecosystem by modelling raw datasets into clear, reliable, and scalable data products that power strategic decision-making across the business. Embedded within the central Analytics Engineering team, you will own and evolve data pipelines and analytical data products that support teams across Product, Marketing, CRM, Finance, Operations, and other areas of the business. Beyond core development, you will drive data reliability, elevate our technical standards, and experiment with AI-assisted tools to streamline modern data workflows. What you will do: • Design, build, and maintain scalable, high-performance data pipelines and reusable analytical data products using dbt, Snowflake, and Airflow. • Transform complex raw data into structured, reliable, and accessible data models, supported by appropriate testing and documentation, that enable decision-making across the organisation. • Own analytical data products throughout their lifecycle, from initial design and delivery through continuous improvement, evolution, and retirement, while considering performance, maintainability, and cost. • Contribute to the evolution of the engineering foundations supporting Analytics Engineering, including CI/CD, orchestration, monitoring, deployment, and tooling version upgrades, in collaboration with Data Platform Engineering. • Partner with Finance, Operations, Commercial, Marketing, CRM, Product, and other teams to translate business needs into clear, reliable, and scalable data solutions, applying technical judgement to clarify requirements and recommend effective approaches. • Take ownership of projects from design through delivery and communicate technical decisions and trade-offs clearly. • Explore and apply AI-assisted engineering tools across the data development lifecycle, including ingestion, transformation, testing, documentation, and deployment. • Help define and embed Analytics Engineering best practices, fostering a culture of quality, ownership, documentation, testing, and continuous improvement across the team. Who you are : • 3-5 years of relevant experience in Analytics Engineering, Data Engineering, BI Engineering, or a similar role, with hands-on experience designing, deploying, and maintaining large-scale, efficient ETL, ELT, or reverse ETL pipelines. • Strong SQL and data transformation skills(DBT), including complex transformations and modular, reusable data models. • Experience with Snowflake, BigQuery, PostgreSQL, or another modern data warehouse, with awareness of performance and cost considerations. • Experience with Airflow or a comparable tool for job orchestration, scheduling, and dependency management. • Experience using Python for data processing, workflow automation, or developing data tooling. • Experience with version controlling (GitHub), CI/CD, automated testing, monitoring, and observability. • Ability to work autonomously, manage dependencies, and take accountability for data products and technical initiatives beyond their initial delivery. • Ability to make and clearly communicate technical decisions and trade-offs. • Strong communication skills and the ability to work effectively with technical and non-technical stakeholders. • Practical experience or strong interest in applying AI-assisted engineering tools to data development. • Strong problem-solving mindset and commitment to engineering quality. • Prior exposure to e-commerce platforms, two-sided marketplaces, or high-volume AdTech ecosystems is a plus. What We Offer Purpose-driven work at scale Join a company reshaping the fashion industry towards circularity, you directly contributes to reducing waste and extending the life of luxury items. High-impact scope & ownership Work on products used globally, where your decisions have immediate, measurable impact on millions of users across 70+ countries. A truly international environment Collaborate with a diverse team of 50+ nationalities across Paris, London, Berlin, New York, Singapore, and Ho Chi Minh City. Career acceleration in a fast-moving scale-up Take ownership early, grow fast, and shape your path, as an expert or a future leader. Learning & growth as a priority Dedicated budget, continuous feedback culture, and opportunities to work on cutting-edge topics (AI, marketplace dynamics, scalability, etc.). Flexible ways of working Hybrid model (typically 2 days remote per week), with trust and autonomy at the core of how we operate. Give back through action 2 paid days per year to support a cause of your choice and actively contribute to positive impact beyond your day-to-day role. Competitive compensation & benefits Including bonus, health coverage, lunch vouchers, Gym-Pass, and additional legal perks depending on your location. Research shows that candidates from underrepresented backgrounds including women, people with disabilities, and other marginalized communities, are less likely to apply unless they meet 100% of the criteria. At Vestiaire Collective, we believe diversity drives better decisions, stronger products, and more meaningful impact. If this role excites you but your experience doesn't align perfectly, we still encourage you to apply, your perspective could be exactly what we're looking for. Vestiaire Collective is proud to be an equal opportunity employer. PS: We take candidate experience seriously, and your safety too ! Vestiaire Collective will only contact you through official email addresses ending in We will never: Contact you via WhatsApp, Telegram, or similar platforms Ask for payment or banking information at any stage of the process If you receive a suspicious message, please report it to: Find Jobs in France on Arbeitnow

Department Overview: Our Technology Infrastructure team operates globally and is responsible for every aspect of the firm's hybrid platform. This ranges from our EUC/Office environments to Trading and Core service Co-Location Data Centres, and extends to Public Cloud, delivering top-tier technology services to a dynamic and demanding Trading organisation. In addition to meeting the round-the-clock operational demands of the platforms, we continuously evolve and transform our platforms to maintain a competitive edge that our business requires. We innovate to provide valuable solutions and leverage our skilled Technology teams to deliver against rapidly changing business requirements. Role Overview: As a member of our London-based Infrastructure Platform Engineering team, this position encompasses the design, engineering, and support of our multi-tenant private and public cloud initiatives. The role is integral to delivering services to our core business sectors globally, including Trading, middle and back office, and Technology. The role is responsible for the support and maintenance of the BlueCrest Linux estate and Automation Services, delivered via On-Premise, Colo and Public Cloud platforms, providing robust solutions based on leading technologies to enhance and support our business. The role delivers excellent levels of service to the business, requiring an understanding of key business processes and a solid understanding of how the solutions we deliver aid and develop our growing business. The successful candidate will understand and be involved in critical BAU and technology service delivery activities in a time-sensitive environment, whilst being innovative and implementing new solutions to enhance business performance. The successful candidate will follow pre-defined scopes, designs and plans to assist in implementing and supporting new and existing technology initiatives, while demonstrating clear communication skills. Experience required: Extensive knowledge and experience of a major Linux Enterprise Server distribution including installation, configuration, automation, administration, and support in diverse, highly dynamic, fast-paced environments - desirable: SUSE Certified Administrator/Engineer (SCA/SCE), Red Hat Certified System Administrator/Engineer (RHCSA/RHCE), or equivalent Linux certification. Experience with container platforms and tooling, including Docker, Kubernetes, Prometheus, and GitOps, is also desirable. Knowledge of integrating Linux within a Windows environment, including Active Directory and Kerberos integration. Experience designing and supporting low-latency Unix-based trading systems in exchange colocation data centres. Experience of automating and orchestrating cross-platform services using tools such as Terraform, Terragrunt, and Cloud-Init. Advanced scripting/programming skills in Python and Bash, CI/CD pipelines, APIs, and data structures such as JSON and YAML – highly desirable. Experience of server hardware implementation, maintenance, monitoring, and automation using Infrastructure as Code and Ansible, including deployment and support within colocation facilities, low-latency environments, and distributed trading platforms. Experience supporting on-premises infrastructure, integrating it with cloud platforms, and ensuring resilience, performance, and scalability across hybrid environments. Experience with AI/ML workloads, AIOps, and supporting infrastructure would be beneficial. Technology-focused and committed to continuous learning, with the ability to deliver rapidly while balancing business constraints in fast-paced enterprise trading environments. About you: The ideal candidate is an experienced Infrastructure Engineer with proven hands-on experience supporting enterprise Linux platforms, with strong expertise in SUSE Linux Enterprise Server (SLES) and/or Red Hat Enterprise Linux (RHEL). The role requires experience integrating hosted and on-premises systems, with a focus on standardisation, automation and orchestration to deliver scalable, reliable infrastructure solutions. Experience supporting cloud platforms and AI/ML workloads would be beneficial. This role would suit an enthusiastic, self-motivated individual who thrives in a pressurised environment and wants to develop their Linux and automation skills and knowledge whilst gaining a detailed understanding of business processes. BlueCrest is committed to providing an inclusive environment for its workforce. As an employer, we provide equal opportunities to all people regardless of their gender, marital or civil partnership status, race, religion or ethnicity, disability, age, sexual orientation or nationality. Find more English Speaking Jobs in United Kingdom on Arbeitnow

About CuspAI CuspAI is the frontier AI company on a mission to solve the breakthrough materials needed to power human progress. While nature took billions of years to perfect molecules, we are harnessing AI to unlock trillion-dollar materials breakthroughs in months, not millennia. Our founding team is the most cited in the world, comprised of world-class researchers in AI, chemistry and engineering. We are working on some of the hardest and most important challenges including energy, clean water, the future of compute, and carbon capture, and this is just the start of what our 'search engine' for next-generation materials will unlock. We invite you to be part of a diverse, innovative team at the intersection of AI and materials science, working to create impactful partnerships that drive innovation, scalability, and industry collaboration. This work matters. Your work matters. We're on the cusp of the on-demand materials era. Join us. The Role Due to rapid growth in our partner lab network, we are seeking a Scientific Product Manager to join our Product team and bring partner labs and their experimental workflows onto the CuspAI platform. Your impact This is an exciting opportunity to join the product team at CuspAI, working closely with materials scientists, ML researchers and platform engineers to make AI-driven experimentation work in real laboratories. As one of a small team of Scientific Product Managers, you will take ownership of a set of partner labs and the lab integration work around them, translating what each lab actually needs into requirements our engineers and ML researchers can build against. Alongside the product work, you will spend real time with your partners' teams and their experimental data. What You Will Do Product Requirements & Roadmap Shape and prioritise the roadmap for how experimental data, protocols and campaigns get into the CuspAI platform, together with your fellow Scientific Product Managers, the engineering lead and the wider product team. Write requirements, specifications and acceptance criteria that engineers can build from, covering experiment types, instrument integrations and LIMS/ELN connections, and work with the data team on the underlying data models and provenance. Contribute to decisions on what we build, what we integrate, and what we leave to partners' existing systems. Partner Lab Onboarding Lead technical discovery with the partner labs you take on: map their workflows, instruments, sample logic and data systems, and pin down the true experimental unit and the parameters that matter. Own onboarding for your partner labs from scoping to the first closed-loop campaign, and turn each onboarding into reusable patterns and documentation shared across the team so the next one is faster. Act as the main scientific counterpart for the partner labs you look after, and represent the product in partner meetings, workshops and conferences. Closed-Loop Campaigns Work with ML researchers to design optimisation campaigns (e.g. Bayesian optimisation) that respect real experimental constraints such as throughput, noise and failed samples. Define how platform-driven campaigns are validated, including benchmarks against manual or legacy workflows, success metrics and the evidence we bring to partners. Must Have Skills and Qualifications: PhD in Materials Science, Chemistry, Physics, Chemical Engineering or a related experimental discipline, or equivalent experience in scientific research. Hands-on experience with high-throughput or automated experimentation (e.g. robotic synthesis, combinatorial libraries, automated characterisation, or self-driving / closed-loop labs) in industry, a national lab or research institute, or academia. Proven track record of translating scientific or process needs into requirements for engineers, software teams or automation vendors, and of validating that what was built works in the lab. Firsthand understanding of how experimental data is produced and where it fails: which metadata and provenance matter, instrument quirks, data quality issues, and what makes a dataset usable for machine learning. Depth in at least one materials domain (e.g. semiconductors and thin films including photovoltaics, catalysis and electrochemistry, energy materials including batteries, polymers and formulations, or separations and surfaces) and the curiosity to work across others. Working knowledge of Python for data handling and analysis; comfortable working with APIs and data schemas. Strong communicator and a proven collaborator, comfortable working directly with external partner labs as well as multidisciplinary science, ML, product and engineering teams. Bonus Points (But Not Critical): Direct experience with closed-loop optimisation in an automated setting, such as Bayesian optimisation, active learning or design of experiments. Experience with research data management, LIMS/ELN systems, FAIR data or metadata schemas, and familiarity with lab data standards (e.g. SiLA 2, AnIML, Allotrope). Instrument integration experience, including vendor software, data formats, and scheduling or orchestration. Product or project management experience, such as roadmaps, user research, external research collaborations or vendor relationships. We are equally open to strong experimental scientists making their first move into product. Experience working in industry at a materials, chemicals, energy or deep-tech company, or closely with industry at a research institution or national lab. Experience coordinating work across multiple labs, sites or countries. Additional Considerations This role could be based in any of our locations with the expectation of being in the office three days per week. Additionally, there may be regular travel required to partner labs and other locations for collaboration and project work. What We Offer A competitive salary: We value and reward impact and growth Equity in CuspAI: You have a stake in the success of the company Time off to stay fresh: 28 days holiday (DE, NL, UK) or 21 days holiday (JP, SG, US), in addition to local public holidays 'Gold Standard' parental leave: 26 weeks (primary caregiver) and 12 weeks (secondary caregiver) at full pay - we look after you and your family while we work on the most important materials discovery problems together Professional development budget: We invest in your career development so you can stay up to date with the latest industry knowledge or add to your skills to increase impact and growth Solve meaningful problems: See how your work has a direct impact on advancing materials science and solving sustainability and climate-related problems through the creation and application of bleeding-edge SOTA technology and revolutionary techniques True interdisciplinary teamwork: Be part of a deeply collaborative environment bridging AI research, computational chemistry, and experimental science - work with world-class researchers and engineers who enjoy sharing knowledge and supporting each other Join us in shaping the future of materials with AI. Together, we can create groundbreaking solutions for a more sustainable world. CuspAI is an equal opportunities employer committed to building a diverse and inclusive workplace . We do not discriminate on the basis of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding), veteran status, or any other basis protected by applicable law. We actively encourage applications from all backgrounds and value the unique perspectives and contributions that diversity brings to our team. Please let us know if you require any specific adjustments during or after the interview process. We will do everything we can within reason to accommodate. Find more English Speaking Jobs in Netherlands on Arbeitnow

Aus Europa, für Europa - wir entwickeln Europas Business-KI. Wir sind das größte KI-Start-up in Aachen. KMUs profitieren davon, wenn internes Wissen sofort nutzbar wird und intelligente Agenten darauf reagieren können. Wir glauben an eine Zukunft, in der Business-KI, einschließlich Agenten innerhalb von amber und anderen Plattformen, auf einer gemeinsamen Kontextschicht arbeitet, sodass Teams schneller arbeiten, Übergaben nahtlos erfolgen und das Know-how im Unternehmen bleibt. Fragst Du Dich bei der Arbeit ständig: "Wie können wir unsere Infrastruktur noch effizienter gestalten?" - Dann hilf uns, unsere systemübergreifende KI-Plattform auf die nächste Stufe zu heben. Wir suchen eine:n DevOps Engineer , der die Leidenschaft und das Know-how mitbringt, unsere Plattform noch stabiler und skalierbarer weiterzuentwickeln. Aufgaben Du unterstützt dabei, unser Produkt und interne Setup-Prozesse zu automatisieren und manuelle Arbeit zu reduzieren. Gemeinsam mit dem Development-Team verbesserst du Deployments und hilfst, technische Probleme zu analysieren und zu beheben. Du wirkst daran mit, unsere Sicherheitsmaßnahmen für Kunden und externe Audits weiterzuentwickeln, umzusetzen und zu dokumentieren. Du unterstützt beim Betrieb und bei der Skalierung unserer Deployments für verschiedene Kunden – auch mit größeren Datenbanken, Containern und Cloud-nativen Tools. Bei Incidents hilfst du bei der Analyse der Ursache und bei der Wiederherstellung unserer Dienste. Dabei arbeitest du daran, Ausfallzeiten möglichst gering zu halten. Du betreibst und verbesserst unser Monitoring und Alerting, damit Probleme frühzeitig erkannt und behoben werden können. Qualifikation Du hast praktische Erfahrung mit Linux-basierten Systemen; Kenntnisse in Windows Server sind ein Plus. Du hast erste Erfahrung damit, Workloads in Cloud-Umgebungen bereitzustellen und zu betreiben. Kenntnisse mehrerer Cloud-Anbieter sind hilfreich. Du kennst Kubernetes, Container-Orchestrierung und weitere Cloud-native Technologien aus der Praxis. Du verstehst die Abläufe in Entwicklung und Betrieb und hast mit CI/CD-Pipelines gearbeitet. Du hast mit Infrastructure-as-Code-Tools wie Terraform gearbeitet oder möchtest deine Kenntnisse darin vertiefen. Du hast Erfahrung mit Monitoring- und Logging-Tools wie Grafana, Kibana oder Prometheus. Du kommunizierst klar und verbindlich auf Deutsch und Englisch mit unterschiedlichen Stakeholdern. Du arbeitest ambitioniert und gerne im Team: Bei amber stellen wir gemeinsame Ziele über das eigene Ego. Du bringst Aufgaben zuverlässig zu Ende und übernimmst Verantwortung für deine Themen – mit Unterstützung des Teams. Du verfügst über grundlegende Programmierkenntnisse und fühlst dich mit Java oder Python wohl. Kenntnisse in Rust oder Go sind ein Plus. Benefits Team Offsites - Da du in einem internationalen Team arbeiten wirst, treffen wir uns Zweimal im Jahr alle zusammen irgendwo in Europa Du hast die Wahl: Entweder ein bezuschusstes Deutschlandticket oder eine Urban Sports Club Mitgliedschaft gehen auf uns Wir leben ein Hybrides Arbeitsmodell: Wir sind der Meinung, dass es wichtig ist regelmäßig in Person zusammenzuarbeiten. Darum treffen wir uns 3 mal wöchentlich an einem unserer Standorte Damit Du vor Ort auch gut versorgt bist, gibt es bei uns jeden Arbeitstag vor Ort digitale, steuerfreie Essensgutscheine direkt aufs Handy Attraktive Vergütung. Zusätzlich belohnen wir herausragende Mitarbeitende mit Unternehmensanteilen und lassen Sie so direkt am Unternehmenserfolg teilhaben Starte in einem Unternehmen, das Dich wachsen lässt – egal, ob Du deine Skills in Deinem Bereich ausbauen oder andere Fähigkeiten erlernen möchtest Wir fördern Deine persönliche Entwicklung durch Weiterbildung und Raum für Eigenverantwortung Ein Team von motivierten Leuten, die Bock haben, KI-Lösungen auch für mittelständische Unternehmen zugänglich zu machen Arbeite mit den neusten Technologien & Tools 🔨 Klingt spannend? Dann hilf uns jetzt und schick uns einfach kurz deinen CV. Wir freuen uns auf dich! Bitte beachte: Für diese Position berücksichtigen wir ausschließlich Bewerber:innen mit Wohnsitz in Deutschland. Let's go big together 🚀 Compensation: €80K – €120K • €80K – €120K Find more English Speaking Jobs in Germany on Arbeitnow

Job Overview We are seeking a dynamic and customer-focused Sales Associate to join our retail team. The ideal candidate will excel in providing exceptional customer service, demonstrating product knowledge, and driving sales through effective communication and upselling techniques. Bilingual abilities and experience with technology sales or product demos are highly valued. This role offers an engaging environment where organizational skills, time management, and a friendly phone etiquette are essential for success. The Sales Associate will play a key role in creating a positive shopping experience and fostering customer loyalty. Responsibilities Greet customers warmly and assist them in finding products that meet their needs Conduct product demonstrations and provide detailed information about features and benefits Engage in upselling to maximize sales opportunities while maintaining excellent customer service Operate POS systems accurately for transactions, including cash handling and cashiering duties Maintain merchandising standards to ensure attractive product displays Manage inventory levels and restock shelves as needed Handle customer inquiries via phone or in person with professionalism and clear communication skills Assist with store organization, including maintaining cleanliness and organization of the sales floor Support team members during busy periods and contribute to a positive team environment Requirements Proven experience in retail sales, technical sales, or related fields preferred Strong communication skills, including phone etiquette and active listening abilities Bilingual proficiency (English plus another language) is highly desirable Familiarity with POS systems, cash handling, and basic math skills for transactions Ability to perform product demos effectively and confidently Excellent organizational skills with the ability to manage time efficiently in a fast-paced environment Customer service-oriented mindset with a friendly, approachable demeanor Ability to work flexible hours as needed, including weekends or evenings if required Prior merchandising experience is a plus but not mandatory Join our team to deliver outstanding service while advancing your sales skills in a vibrant retail setting. We value motivated individuals who are eager to grow professionally and contribute positively to our store?s success. Pay: $17.60-$28.17 per hour Expected hours: 20.0 ? 40.0 per week Benefits: Flexible schedule On-site parking * Store discount Work Location: In person

Job Description Job Description Be part of a mature, fun leadership team and excel your career with A&W! A&W takes pride in offering our employees a working environment that is based on respect and listening. Everyone's efforts and results are recognized and celebrated. We are looking for a fun and experienced leader who loves A&W as much as they love leading a diverse team from their local community! The Restaurant Manager/Assistant Manager duties include, but are not limited to: Managing the …