Find Your Dream Career

Company Description Since its creation in 2007 in the financial city of Frankfurt am Main, Solactive AG has grown to one of the key players in the indexing space. The German multi-asset index provider focusses on tailor-made indices, offering to its clients a faster service, with greater flexibility and at a reasonable cost. Solactive AG and its subsidiaries have become one of the fastest growing index providers over the past few years and support the leading investment banks and asset managers across the globe. We have gained global recognition for our role in the Exchange Traded Fund (ETF) industry, where we rank among the top providers worldwide for underlying indices. We also excel in diverse areas such as Structured Products and investment mandates, showcasing the wide range of our capabilities. The impact and value we bring to the market is palpable, but also in the reputation we have proudly built by being close to our customers, solidifying Solactive AG as a trusted and reliable ally in the ever-evolving global financial landscape. Job Overview At Solactive, data powers everything we do. We are looking for a Director, Data Platform to lead the architecture and operation of our internal data hub, ensuring clean, reliable, and timely market data reaches our teams. If you thrive on building scalable, high-impact data platforms, we'd love to hear from you. Your Tasks Translate market data and client requirements into platform capabilities, aligning technical solutions with business and product objectives. Define and deliver the data platform vision by building and operating a scalable, reliable, and cost-effective infrastructure that underpins index construction, analytics, and client delivery. Lead and develop a high-performing team of ~30 data engineers and operations professionals, fostering a culture of trust, accountability, and continuous improvement. Oversee end-to-end data operations from ingestion and normalization of hundreds of external market data sources to reliable internal distribution. Shape data architecture and governance frameworks to ensure data quality, lineage, compliance, and operational excellence. Drive strategic alignment and execution across engineering, product, and operations teams to deliver on shared business outcomes. Promote innovation and systems thinking by evaluating internal and external solutions or services to ensure the platform evolves with new technologies, data sources, and business needs. Communicate vision and progress effectively to stakeholders across technical and non-technical audiences. Partner with HR and senior leadership to attract, develop, and retain top talent, building sustainable leadership and technical depth within the team. Your Profile Experience: 10+ years in data engineering, platform management, or infrastructure leadership, including 5+ years leading large teams. Domain Knowledge: Understanding of financial market data (e.g., pricing, reference, corporate actions, ESG, and alternative data). Technical Expertise: Deep experience with modern data architectures and tools (e.g., Kafka, Airflow, Flink, Iceberg, Databricks, Snowflake, AWS/GCP/Azure). Proven ability to operate large-scale data ingestion and processing systems handling financial or reference data. Leadership: Track record of leading multidisciplinary teams to deliver business-critical systems in complex environments. Soft Skills: Excellent communicator with strong strategic thinking, stakeholder management, and problem-solving abilities. Our Offer Global Team : Join our motivated international team at Solactive FinTech Excellence : Experience FinTech excellence at Solactive Modern Culture : Enjoy our modern, flat hierarchy and startup-like culture Responsibility & Connections : Take over responsibility from day one and build relationships in- and outside of the company. Vacation : Enjoy 30 annual vacation days, plus extra time off for Christmas Eve and New Year Competitive Compensation : Receive a competitive compensation package Special Benefits : Job ticket, access to Corporate Benefits, modern office space with ergonomic set-up, employee lounge, and free beverages and fruits Community & Networking : Engage in our various networking events Professional Development : Grow both personally and professionally through our diverse training offers Flexibility : Embrace a flexible work culture with the freedom to choose your work hours, including a hybrid work model, all within a diverse and dynamic environment Find Jobs in Germany on Arbeitnow

FEQ128R40 At Databricks, we are on a mission to empower our customers to solve the world's toughest data and AI problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will partner with Sales, Solutions Architecture, and Field Engineering to accelerate adoption and growth of the Databricks platform. You will serve as a trusted technical advisor, helping customers design, implement, scale, and optimize data and AI solutions that deliver measurable business value. This is a technical and customer-facing role focused on architecture, technical strategy, and customer outcomes. You will influence technical execution across complex use cases, guide architectural decisions, and align Databricks, customer, and partner teams from technical win through production and adoption. The Impact You Will Have Define and influence technical execution strategies across complex use cases and multiple workstreams within strategic accounts Serve as a trusted technical advisor to customer technical leads and architects, leading architecture discussions and guiding technical decisions Design secure, governed, and scalable Databricks architectures while balancing performance, cost, reliability, and long-term needs Build and demonstrate working solutions, prototypes, and reusable technical assets that accelerate customer outcomes Anticipate platform maturity and scaling needs and establish best practices for security, governance, and operational excellence Drive adoption and consumption by influencing architecture, unblocking delivery, and connecting technical execution to business outcomes Partner across Databricks, customer, and implementation teams to align resources, manage risks, and accelerate delivery Mentor peers and contribute reusable technical guidance, frameworks, and enablement across the organization What We Look For 5+ years in solutions architecture, solutions engineering, technical consulting, professional services, data engineering, or a related technical role Experience in influencing technical strategy and architecture across complex customer use cases or multiple workstreams Strong coding proficiency in Python, SQL, Scala, or similar languages, with the ability to build, debug, and validate technical solutions Deep understanding of distributed data systems, data engineering, analytics, data warehousing, AI/ML, and modern cloud architectures Experience designing secure, governed, scalable, and production-ready data solutions Ability to solve ambiguous technical problems, evaluate trade-offs, and validate solutions through structured analysis or experimentation Experience leading architecture discussions with technical leads, architects, and senior customer stakeholders Strong understanding of platform operational excellence, including security, governance, performance, reliability, and cost optimization Demonstrated ability to drive customer adoption, consumption, and measurable business outcomes through technical leadership Strong stakeholder management and cross-functional leadership skills, with the ability to align teams without formal authority Bachelor's degree in Computer Science, Engineering, or equivalent experience Nice to Have Databricks experience or certification Developing expertise in a technical specialization such as AI/ML, data engineering, streaming, data warehousing, governance, or migrations Experience with AWS, Azure, or GCP and production cloud deployments Experience creating reusable technical frameworks, demos, or enablement that scale across teams About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Find more English Speaking Jobs in Switzerland on Arbeitnow

FEQ128R38 At Databricks, we are on a mission to empower our customers to solve the world's toughest data and AI problems by utilizing the Databricks Data Intelligence Platform. As a Sr. Delivery Solutions Architect, you will partner with Sales, Solutions Architecture, and Field Engineering to accelerate the adoption, growth, and strategic impact of Databricks with our most complex customers. You will serve as a senior technical advisor, helping customers design, implement, scale, and optimize complex data and AI solutions across business units, geographies, and product areas. This is a highly technical and strategic customer-facing role. You will define technical execution strategies for high-value accounts, drive architectural alignment across complex use cases, and orchestrate Databricks, customer, and partner teams to deliver measurable outcomes. You will build trusted relationships with senior technical and executive stakeholders while contributing expertise, frameworks, and best practices that scale beyond individual customer engagements. The Impact You Will Have Define technical execution strategy across high-value, complex customer accounts spanning multiple use cases, business units, geographies, or product areas Serve as a senior technical advisor to customer architects, technical leaders, and Director/VP-level stakeholders Design and influence secure, governed, scalable architectures while balancing performance, cost, reliability, and long-term platform strategy Orchestrate Databricks, customer, and implementation partner teams to align technical execution and accelerate strategic outcomes Anticipate platform maturity and scaling needs and establish technical standards for security, governance, developer experience, and operational excellence Drive adoption, consumption, and measurable business outcomes through technical strategy and execution Lead complex technical escalations spanning multiple systems, teams, or workloads Build reusable technical frameworks, solutions, and assets that scale across customers, teams, or regions Mentor DSAs and contribute to technical enablement, specialization, and thought leadership What We Look For 8+ years in solutions architecture, technical consulting, professional services, data engineering, or a related senior technical role Demonstrated experience leading technical strategy and architecture for high-value or highly complex customer environments Experience navigating complex programs across multiple business units, product areas, geographies, or technical workstreams Deep expertise in one or more Data and AI domains, with strong knowledge of distributed data systems and cloud architectures Strong coding proficiency in Python, SQL, Scala, or similar languages Experience designing secure, governed, scalable, and production-ready architectures across cloud and enterprise environments Ability to solve complex technical problems using first-principles thinking, structured analysis, and technical experimentation Demonstrated ability to influence senior technical stakeholders and executive audiences and de-escalate complex customer situations Strong cross-functional leadership and stakeholder management skills, with the ability to orchestrate teams without formal authority Track record of driving customer adoption, consumption, and measurable business outcomes through technical leadership Experience creating reusable technical frameworks, assets, or programs that extend impact beyond individual customer engagements Bachelor's degree in Computer Science, Engineering, or equivalent experience Nice to Have Databricks experience or certification Recognized expertise in a Data and AI specialization or competitive technology Experience influencing product direction through structured customer feedback External technical thought leadership through blogs, conferences, summits, seminars, or industry events Experience mentoring technical talent or leading enablement across teams or regions About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Find Jobs in Switzerland on Arbeitnow

Forward Deployed AI Engineer Build end-to-end products on a solid data foundation, with AI as a force multiplier. Data Practice | Remote (Poland) | Senior About TechTorch At TechTorch , we're building the future of intelligent work. Our mission is to help companies design, build, and deploy AI agents that automate complex, real-world workflows — delivering reliability, measurable ROI, and massive efficiency gains. Here, you won't just be playing with prompts or running endless proofs of concept. You'll ship production-grade AI systems that solve real problems across industries. You'll join a hands-on, fast-moving, ownership-driven team that thrives on building quickly, iterating fast, and seeing results in days — not months. About the Practice TechTorch's Data Practice sits at the intersection of enterprise data and applied AI. We design and build AI-native systems that don't just analyze the past — they actively drive decisions. Our work spans data infrastructure and pipelines, intelligent automation, and full-stack AI applications across industries. We work the way the best client-delivery teams now operate: small teams, deep ownership, no hand-offs at boundaries. We take problems from a client whiteboard to production, and we let AI do the heavy lifting wherever it earns its place. The Role We're looking for an engineer who builds across the full stack and owns the data underneath it. You can sit in a client session, shape the architecture, design the data foundation, and ship the application that runs on top of it — without handing off at the boundaries. The work spans client delivery and internal accelerator development. You map the problem, structure the solution, and own the outcome from end to end. AI coding agents are central to how we build — not a novelty, but the daily layer that lets a small team cover a lot of ground. What You'll Do Own work end to end — from discovery and solution shaping through system design, build, and production deployment. Design and build the data foundation: data models, schema design, dimensional modeling, ETL/ELT pipelines, and slowly changing dimensions (SCD) that hold up in production. Build full-stack applications on top of that foundation — Python/FastAPI services and Next.js frontends that make data and AI workflows usable. Use AI coding agents (Claude Code or equivalent) as a primary build accelerator to move from spec to working software quickly, without sacrificing judgment or quality. Design and build AI capabilities where they fit — RAG pipelines, agentic workflows, and LLM-in-the-loop processing — and compose them via MCP servers, Skills, and Plugins. Orchestrate pipelines and automation with tools like Airflow, Dagster/Prefect, Celery, or Temporal — choosing the right tool for the job. Stand up and own CI/CD and cloud deployments on AWS and Azure. Translate ambiguous client requirements into clear designs and communicate trade-offs to both technical and business audiences. Contribute reusable accelerators and technical assets back to the Data Practice. Must Have We're looking for genuine production depth across data engineering and full-stack development — not surface familiarity with either. Data Engineering Foundation Data modeling and schema design — dimensional modeling, normalization trade-offs, and EDW/warehouse schema design you can defend. Hands-on data pipeline experience — ETL/ELT design across batch and incremental loads, built and maintained in production (not just SQL scripts on a schedule). Slowly Changing Dimensions (SCD) and change-data handling — knows the patterns and when each applies. dbt Experience— modular SQL transformations, tests, documentation, and incremental strategies. Advanced SQL and at least one modern data platform in depth (e.g., Snowflake, Databricks, or a comparable cloud warehouse/lakehouse). Data quality thinking — testing, validation, and lineage treated as first-class, not afterthoughts. Full-Stack AI Product Development Python as a primary language — services, automation, and data work alike. FastAPI — async REST API design, dependency injection, testing. A modern frontend, ideally Next.js — component architecture, SSR, state management, and real UX sensibility. PostgreSQL — schema design, query optimization, indexing. System design — can architect from a blank page: services, boundaries, trade-offs, and scale. AI-paired engineering — uses an agentic coding tool (Claude Code, Cursor, or comparable) as a genuine daily workflow accelerator, and can speak concretely to how. CI/CD and cloud deployment ownership on AWS or Azure, without heavy support. Ways of Working Comfortable in client-facing delivery — can represent TechTorch technically and translate between business and engineering. Customer-first mindset — anchors decisions in what the stakeholder is actually trying to accomplish, and can move fluidly between the engineer's view and the business owner's in the same conversation. End-to-end ownership instinct — takes a problem from discovery to production and owns the outcome, rather than passing it along at each handoff. Nice to Have Not required to apply — but these are the things that make a candidate stand out. Standout differentiator — Commercial data fluency: Experience evaluating how commercial data flows across CRM (ideally Salesforce) and ERP (ideally NetSuite) from opportunity to order to invoice, with the ability to diagnose, document, and resolve inconsistencies. Agentic AI depth — LangGraph or comparable: multi-agent coordination, tool use, memory, and state management. RAG engineering — retrieval strategies, vector stores, chunking, re-ranking, and evaluation. Experience in a consulting or client-delivery environment, or a forward-deployed / embedded engineering role. Workflow orchestration breadth across multiple tools (Airflow, Dagster, Prefect, Temporal, ADF, Databricks Workflows). Streaming data patterns — Kafka, Spark Streaming, or Flink. Vector databases — Pinecone, Weaviate, Qdrant, or pgvector. Experiment tracking — MLflow, Weights & Biases, or similar. Contributions to open-source AI or data tooling, or to internal accelerators and frameworks. Multi-cloud or hybrid cloud architecture exposure. You Might Be a Fit If... You're comfortable designing a data model in the morning and shipping a FastAPI + Next.js feature on top of it in the afternoon. You treat an AI coding agent as a force multiplier — you've genuinely changed how you build, not just turned on autocomplete. You can explain an SCD strategy to an engineer and a data-quality risk to a business stakeholder in the same conversation. You've shipped real things in production — not just demos or PoCs. You're opinionated about system and data design, and can back it up. What We Offer Fully remote — work from anywhere, globally. Semi-annual team offsites — we come together in person at least twice a year to connect, recharge, and do the work that's better face-to-face. High-autonomy, high-ownership work across the full arc of real client problems — not toy datasets or boxed-in tickets. A team that takes AI tooling seriously and expects you to use it, not just name-drop it. Access to the full modern data and AI stack — no one-tool shops. Room to grow toward data architecture, platform leadership, or AI engineering depth, depending on where you want to take it. Find more English Speaking Jobs in United Kingdom on Arbeitnow

About Us Hawk is the leading provider of AI-supported anti-money laundering and fraud detection technology. Banks and payment providers globally are using Hawk's powerful combination of traditional rules and explainable AI to improve the effectiveness of their AML compliance and fraud prevention by identifying more crime while maximizing efficiency by reducing false positives. With our solution, we are playing a vital role in the global fight against Money Laundering, Fraud, or the financing of terrorism. We offer a culture of mutual trust, support and passion – while providing individuals with opportunities to grow professionally and make a difference in the world. Your Mission As an Implementation Specialist at Hawk, your responsibility is to transform customer requirements into a functioning solution that helps them achieve their business objectives around transaction monitoring, customer screening and fraud detection, alongside cutting-edge AI technologies. You start with a signed contract and support the customer until go-live. This includes translating policies, regulatory obligations and risk factors into Hawk's setup, data mapping, workflow configuration, UAT support and ensuring that key project timelines and milestones are met. You support our customers in realising true value by detecting more financial crime, allowing investigators to focus on what matters instead of drowning in false positives, and adopting state-of-the-art AI technologies. Key Responsibilities Requirements and needs assessment: gather and analyse the customer's AML, fraud and screening requirements and advise on best-practice configuration. Configuration: translate policies, screening algorithms, regulatory requirements and risk factors into Hawk's setup, covering rules, screening, customer risk rating and workflows. Data mapping and integration: lead the technical deployment and integration with the customer's systems, via API or batch mechanisms. Testing and go-live: support the customer through testing, UAT and sign-off, troubleshoot issues, and support a successful transition to a production environment. Training and enablement: deliver training to the customer's teams from a functional as well as technical standpoint. Project management: plan and run the implementation from signature to go-live on time and within scope, with documentation and regular stakeholder updates, combining hands-on work with project leadership. Primary contact: be the first point of contact for implementation questions and issues. Collaboration and feedback: work closely with Customer Value Partners for a smooth implementation, and bring actionable customer feedback and gaps to Product, Development and Hawk's GTM organisation. Document every configuration decision and the reasoning behind it, so the setup holds up when the customer's auditor or regulator asks why a rule was set the way it was. Manage each implementation task and the implementation success as an outcome you own, as directed by our Customer Value Partner, resulting in activity completion and a go-live on the dates you committed to. Your Profile 6+ years in implementation consulting or solution consulting, with at least 3 of those years hands-on implementing AML, fraud or screening solutions. Subject matter expertise in AML and compliance. You are familiar with key typologies and patterns, the regulatory expectations behind them, and how monitoring programmes as well as AI get examined. You can confidently stand in front of an MLRO and discuss and defend a rule set. This is a must-have, not a nice-to-have. Hands-on data skills: SQL, APIs, CSV and JSON, and data modelling. You're familiar with standardised payment message formats, including SWIFT MT and ISO 20022, SEPA and card data. Integration literacy. You don't write production code, but you're at home with APIs, JSON payloads, SFTP configurations as well as SSO. Proven track record of taking complex implementations to go-live on time, ideally several in parallel, with banking customers or other financial institutions. Stakeholder alignment. You ensure that internal and external parties both have the information they need, keep them aligned and manage expectations. Able to explain complexity simply. Imagine data models for compliance leads, fraud typologies for data engineers. You do it clearly in writing and in the room, in fluent English. A degree in computer science, information systems, engineering, finance or a related field, or equivalent practical experience. Bonus Business-fluent German, for working with our DACH customers. CAMS (or equivalent) certification, or time spent in a second-line compliance or MLRO team. Builds constructive relationships with customers and stays calm and under pressure Builder mentality: works independently and brings structure to ambiguity where no established process exists, taking the initiative to define one. Is a resourceful problem-solver who investigates unknowns and tests system behaviour. Knows when and whom to escalate. Manages expectations proactively. Flags timeline and scope risks early, quantifies them, offers phased options and aligns Sales and Customer Success. Handles product gaps transparently. Clarifies the underlying (regulatory) requirement, offers workarounds with their trade-offs, feeds back to Product and doesn't commit to unconfirmed dates . You use AI tools such as Claude in your daily workflow to speed up mapping, documentation and analysis, and you have opinions about where they help and where they don't. Find more English Speaking Jobs in United Kingdom on Arbeitnow

TechTorch Data Practice Data Architect Architect end-to-end products on a solid data foundation, with AI as a force multiplier. Data Practice | Remote (Global) | Senior About the Practice TechTorch's Data Practice sits at the intersection of enterprise data and applied AI. We design and build AI-native systems that don't just analyze the past — they actively drive decisions. Our work spans data infrastructure and pipelines, intelligent automation, and full-stack AI applications across industries. We work the way the best client-delivery teams now operate: small teams, deep ownership, no hand-offs at boundaries. We take problems from a client whiteboard to production, and we let AI do the heavy lifting wherever it earns its place. The Role As a Data Architect, you will be responsible for designing, deploying, and governing modern data architectures that support enterprise-scale analytics, reporting, and operational use cases. You'll define how data is stored, integrated, accessed, and secured across systems — aligning data strategy with business priorities. You will collaborate with both business and technology stakeholders to design scalable and efficient data platforms, define data modeling standards, and enable seamless integration across the enterprise. Your work will ensure data integrity, security, and usability, serving as a foundation for advanced analytics and AI initiatives. What You'll Do Develop and maintain enterprise data architecture, including models, flow diagrams, and integration frameworks Define and enforce architecture standards, governance models, and documentation practices Design scalable, flexible solutions that align with modern data warehousing and cloud-native best practices Drive the design and implementation of data integration pipelines and APIs across systems Lead efforts in data modeling, database design, and architecture optimization Collaborate with data engineers, analysts, and developers to ensure architectural consistency and performance Mentor and provide technical direction to engineers on the Data Practice team, including full-stack engineers building applications on top of the data foundation Oversee data quality, lineage, and security strategies across the organization Provide guidance on big data technologies, ETL platforms, and modern cloud ecosystems Support strategic decisions through architectural reviews, proofs of concept, and solution roadmaps Who You Are We're looking for high-caliber professionals who meet the following criteria: 7+ years of experience in data architecture, data engineering, or related roles in complex environments Demonstrated experience designing robust technical solutions for clients or customers Experience serving as a technical lead - mentoring, coaching, and setting technical direction for data engineers, analysts, and other technical resources Strong background in data modeling (conceptual, logical, physical), warehousing (e.g., Snowflake, Redshift, BigQuery), and database design Familiarity with modern data transformation practices (e.g., dbt) and dimensional modeling patterns, including Slowly Changing Dimensions (SCD) Proficient in data modeling tools (e.g., ER/Studio, Erwin) and relational/NoSQL databases (e.g., SQL Server, Oracle, MongoDB) Fluent with AI coding agents (e.g., Claude Code, Cursor) as production accelerators, with the credibility to evaluate and coach engineers on how they use them Skilled in applying AI/ML to complex data challenges, including designing architectures for generative AI and RAG solutions, and automating data pipelines Experience with CRM and/or ERP ecosystems (e.g., Salesforce, NetSuite) and analyzing data to uncover quality issues, identify revenue leakage and/or drive operational efficiency Knowledge of modern cloud data stacks (e.g., Azure, AWS, GCP) Hands-on experience with ETL/integration tools (e.g., Talend, Informatica) Familiarity with building and/or designing reporting solutions for business stakeholders (e.g., Power BI, Tableau) Comfortable contributing to business development activities such as supporting proposals, scoping projects, and growing accounts Strategic mindset with a focus on business value, scalability, and performance Excellent communication skills and ability to influence cross-functional stakeholders Adaptable, collaborative, and continuously improving in a fast-paced delivery environment Our Values Our values reflect the DNA of the private equity-backed companies we serve — focused on speed, ownership, accountability, and results: Client First – We focus relentlessly on delivering outcomes that create value for our clients We, Not Me – We win together. Collaboration drives transformation at scale Get Stuff Done – We execute with speed and precision — because in PE, time matters AI First – We embed AI at the core, enabling scalable, high-leverage solutions Own It – We take accountability for results, delivering on what we promise Agile Mindset – We adapt quickly and proactively seek better ways to move forward What We Offer Flexible, remote-first work environment with high-performance expectations and autonomy. Semi-annual team offsites — we come together in person at least twice a year to connect, recharge, and do the work that's better face-to-face. A team that takes AI tooling seriously and expects you to integrate it into your work. High-autonomy, high-ownership work across the full arc of real client problems. Access to the full modern data and AI stack — no one-tool shops. Exposure to top-tier private equity firms and their portfolio companies. Find Jobs in United Kingdom on Arbeitnow

About Us IVC Evidensia is the UK and Europe's leading veterinary care group, made up of over 900 practices and referral hospitals, united by a shared purpose of happier animals, happier owners. At IVC Evidensia, we believe careers should be built without limits. Our people are supported to make more impact, access more career opportunities, and play an active role in their local and professional communities. Through investment in learning, innovation, and wellbeing, we create environments where our teams can grow in confidence, capability, and fulfilment—at every stage of their career. As part of Central Functions, you will be part of the teams that support and enable our network of over 2,500 practices across 20 countries, driving operational excellence, innovation, and strategic impact across the business. Our Technology teams are responsible for the systems and infrastructure that make that work - everything our healthcare professionals need to deliver world-class care. From keeping on top of patient records, health plans, client communications, diary management and dispensing, our teams have a lot to think about and need smarter ways to provide the convenience and expertise that modern Pet owners have come to expect. IVC Evidensia is undergoing an exciting digital transformation. The key to this is improving the management of our core data sets - accelerating the standardisation of operational systems in practices, building stronger master data management tooling, and developing standard reporting models across the group. As a data engineer, you will work with the team to advance the data platform within a DevOps culture. You will play a central role in building and maintaining scalable data pipelines across Databricks & Azure SQL Server, and will bring solid experience with ELT, orchestration, and scripting languages. A firm grasp of data modelling and management will be essential throughout. The role The Data Engineer will be a technical authority accountable for the design and development of the technologies that underpin our data strategy. At the heart of this is our Databricks data platform, and you will take ownership of building, optimising, and maintaining data pipelines using PySpark - orchestrating feeds from source systems through to our group data platform and taking technical ownership of all parts of the process. You will work closely with the business to deliver solutions that address real challenges, engaging with SMEs to break requirements into deliverables. You will also collaborate with the Data Architect to shape our overarching data management strategy. What you'll bring to the role We're looking for a technically skilled and business aware individual with a strong understanding of data concepts, including storage, processing, and modelling. Core requirements include: Databricks - hands-on experience building and managing workloads on the Databricks platform, including Delta Lake, Unity Catalog, and Declarative Automation Bundles PySpark - proficiency in writing and optimising PySpark code for data transformation and processing Azure - solid experience working within the Azure ecosystem, including services such as Azure Data Factory, Azure Data Lake Storage, and Azure DevOps Azure SQL Server - experience with Azure SQL Server is important, as it forms the foundation of our existing data warehouse. You will be working across both our SQL Server environment and our Databricks platform, and an understanding of how the two integrate will be key to success in this role ELT & pipeline development - experience designing and maintaining pipelines using REST APIs, JSON, and ELT protocols Data modelling - comfort working with both relational and non-relational data technologies, with a solid grounding in modelling principles Exposure to business intelligence tools like Power BI is desirable. You'll act as a key interface between IT and functions such as Finance and Marketing, so excellent communication and stakeholder engagement skills are vital. You should be confident working within an Agile framework, with an understanding of secure development practices and non-functional requirements such as scalability, performance, and access management. An international mindset, sensitivity to local business priorities, and a collaborative approach are essential. What's in it for you? At IVC Evidensia, we're committed to supporting your development and wellbeing. When you join us, you'll benefit from: A role with real business impact supporting teams across the organisation Clear career pathways with progression opportunities within Central Functions and beyond Ongoing learning and development supported by tailored programmes and resources A collaborative, values-led culture focused on care, innovation, and continuous improvement Flexible working with a remote first working policy Benefits Healthcare Cash Plan Cycle to Work scheme Green Cars salary sacrifice scheme Voluntary benefits: choose from a range of benefits to suit you Discounted staff pet care Access to discounts/cashback with hundreds of participating retailers Diversity, Equality, Inclusion and Belonging At IVC Evidensia we are committed to Diversity, Equality, Inclusion and Belonging, we are keen to hear from candidates from all minority and diverse groups. As a Disability Confident Employer, we are keen to hear from candidates with disabilities and long-term health conditions and would be happy to discuss any reasonable adjustments needed during the recruitment process. Find Jobs in United Kingdom on Arbeitnow

About the Role at RobCo RobCo is building the category of Autonomous Industrial Robotics and we're doing it fast. We believe that automating the ordinary frees humans to do the extraordinary, and we're building the end-to-end robotics infrastructure to make that possible - hardware, software, and AI in one stack that just works. We're looking for a Cloud Engineer to join our Infrastructure & Data team as the fifth person in the team and become the go-to person for GitLab and GitOps best practices at RobCo. You'll have a clear area to own from day one: shaping and improving the way we work with GitLab across engineering teams, with a strong focus on CI/CD, automation and scalable GitOps practices. You'll also get exposure to Terraform, different cloud environments such as GCP and AWS, Kubernetes, MLOps and robot infrastructure. You'll be working alongside teammates with deeper expertise in those areas, so there's plenty of room to learn, broaden your technical scope and grow into new parts of the stack. Your Responsibilities Build and maintain GitOps workflows so that Git is the single source of truth for our infrastructure and application deployments. Manage promotion flows across environments (dev, production) and out to edge devices. Write and maintain Terraform (or similar IaC) for our AWS environment, delivered through pull requests, reviews, and automated pipelines. Build and improve CI/CD pipelines (GitLab CI) that test, validate, and deploy changes safely. Help keep our platform reliable: set up monitoring, alerting, and dashboards, take part in incident response, and contribute to post-mortems. Apply software security best practices in your day-to-day work. Automate repetitive operational work and write small tools or services where they help. Support engineering teams with deployments, environment setup, and cost visibility. We're looking for someone who has: 3+ years of experience in a Cloud, DevOps, Platform, or Infrastructure engineering role. Hands-on experience with GitOps best practices. Experience building CI/CD pipelines. Familiar with infrastructure-as-code, ideally Terraform. Familiar with AWS, including EKS, RDS, S3, and EC2. Scripting or programming skills in Python, Go, or a similar language. A basic understanding of softwaresoftware security fundamentals and a willingness to deepen it. Nice to Have Basic knowledge of Kubernetes: deploying, operating, and troubleshooting workloads. Experience deploying to edge devices or managing fleets of distributed systems. Experience with secrets tooling (External Secrets, Sealed Secrets, Vault). Why join RobCo? Develop modular, software-defined robotics solutions with us that set new standards in automation. Help us build robots equipped with state-of-the-art AI that perceive their environment, analyze data, and make intelligent decisions in real time. As part of a very dynamic and fast-growing scale-up, you will take on responsibility from day one, drive your own projects, and see the direct impact of your work. Flat hierarchies, open communication, and regular 360° feedback enable fast decisions and support your professional and personal development. Wellpass membership (7,200+ studios across Germany), regular team events, and a team that takes both the work and the culture seriously. Flexible working hours, a modern office, and—depending on the role—the option to work from home. Regular team events—from relaxed beer & pizza nights on the rooftop terrace to shared experiences on ski trips or at Oktoberfest. About RobCo Founded in Munich in 2020, RobCo leads the transition toward fully Autonomous Industrial Robotics. Our mission is to deploy RobCo in every factory - solving the industrial labor shortage through end-to-end robotics that just works. Powered by Physical AI, our solutions combine a scalable modular hardware architecture with intelligent software that adapts to your use case, improves over time, and requires zero upfront investment through our Robotics-as-a-Service (RaaS) model. We solve our customers' most pressing pain points - labor shortage, cost pressure, workplace safety, and national reshoring - across the full spectrum of Autonomous Industrial Robotics. With $160M raised from investors including Lightspeed, Lingotto Innovation, and Sequoia, 200+ people globally, and 2.5M+ operating hours in the field, we are deploying robots in factories across Europe and the United States - with our US operations headquartered in Austin, TX, and our RobCo Bay Area Demo Lab in San Francisco. Don't meet every single requirement? If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. At RobCo, applicants are selected regardless of ethnic origin, religion, gender, age, disability, or sexual orientation. All decisions throughout the recruitment process are based solely on applicants' qualifications, skills, knowledge, and experience, as well as relevant business requirements. Find more English Speaking Jobs in Germany on Arbeitnow

Help us use technology to make a big green dent in the universe! Kraken powers some of the most innovative global developments in energy. We create the technology that redefines utilities and unlocks a new energy system of the future. By optimising renewable generation, building a more intelligent grid, and empowering utilities to deliver an exceptional customer experience, our operating system is transforming the industry worldwide. It's an incredibly exciting time to work in energy. Join us on our mission to improve the lives of ONE BILLION humans within the decade and shape a cleaner, better future for everyone. Platform Support Engineering is a new team within Kraken's Platform department. It will be the primary contact point for most day-to-day engineering interactions between the company's 2,000 staff and the 120 engineers in the Platform department. The team will handle a high volume of tickets each month, supporting the business across a myriad of clients in the EU, North America, and Australia-Pacific regions on a 24/5 basis. This role sits in the middle of that function, owning investigations end-to-end and beginning to shape the team's tooling and processes. You'll work with enough independence to own complex investigations, and close enough to the platform to keep developing your technical depth. What you'll do Act as the primary contact point for platform-related requests and non-critical incidents from engineers, Technical Account Managers, and Client Delivery Leads Triage incoming tickets and alerts, gathering context and reproducing issues where possible Monitor platform alerting channels and respond to non-critical alerts in line with defined processes Resolve routine platform requests (access, configuration changes, environment queries, etc.) Escalate complex technical issues to the relevant Platform Engineering teams for investigation and resolution, capturing their input and formalising it into runbooks for future use Escalate to Senior Platform Support Engineers or the Platform Support Lead where pushback or seniority is required Communicate clearly across a range of technical and non-technical audiences, translating between the two where needed Identify recurring problems and flag opportunities to improve tooling, automation or documentation Maintain and improve runbooks, FAQs and internal documentation Work closely with Platform Engineers to build your understanding of how the platform is built and operated Take ownership of ticket investigations end-to-end, including identifying when to escalate severity without prompting Proactively flag risks and scope changes to stakeholders before they become problems Identify and close gaps in team documentation without being asked Begin contributing to tooling and automation improvements: scoped, well-defined pieces that reduce toil or improve the support workflow What you'll need Hands-on experience with at least one of: AWS (console + CLI), Kubernetes (kubectl, real triage experience), Terraform (reading plans, running applies) Comfortable triaging platform issues independently, knowing what to look for without being told and able to investigate before escalating Experience communicating technical problems and resolutions to non-technical stakeholders Can engage confidently in technical conversations with Platform Engineers when investigating complex issues, contributing context and understanding the response Proactively flags risks and scope changes to stakeholders before they become problems Able to identify gaps in documentation and close them, not just follow what exists It would be great if you had Familiarity with observability tooling (Datadog or similar), using it to understand system behaviour, not just confirm alerts Experience in a support, SRE, or platform ops role in a high-scale environment Experience with GitOps workflows, understanding how infrastructure changes flow from code to production Familiarity with incident management tooling (PagerDuty, incident.io , Rootly, or similar), not just receiving alerts but owning the response flow Exposure to a client-facing or stakeholder-heavy environment (TAMs, CDLs, or similar non-engineering audiences) Scripting ability in Python, Bash, or similar, enough to automate a repetitive task or parse logs efficiently What success looks like in this role You're comfortable with ambiguity. Platform Support sits at the intersection of engineering, clients, and product. Not every ticket has a clean answer. The people who do well here move through uncertainty rather than waiting for it to resolve. You communicate before you're asked to. Stakeholders (engineers, TAMs, CDLs) care most about knowing what's happening. Proactive, accurate updates matter more than perfect resolutions. You treat runbooks as a floor, not a ceiling. Following a runbook is the starting point. Finding the gap in it, fixing it, and making the next person's job easier is the standard we're aiming for. You escalate with context, not just symptoms. When something needs to go up the chain, it goes up with a clear problem statement, what's been tried, and what's needed. You don't just hand off the stress. Are you ready for a career with us? We want to ensure you have the right tools and environment to unleash your potential. If you have any accommodation requests, please contact us at ----- We'll do our best to tailor the experience to your needs so you can feel comfortable, confident and be at your best! Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we're looking for! At Kraken, we're creating a team of genuine, honest, empathetic people. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. We consider all applicants without regard to race, colour, religion, national origin, age, sex, gender identity or expression, sexual orientation, marital or veteran status, disability, or any other legally protected status. Our (i) Applicant and Candidate Privacy Notice and Artificial Intelligence (AI) Notice , (ii) Website Privacy Notice and (iii) Cookie Notice govern the collection and use of your personal data in connection with your application and use of our website. These policies explain how we handle your data and outline your rights under applicable laws, including, but not limited to, the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). Depending on your location, you may have the right to access, correct, or delete your information, object to processing, or withdraw consent. By applying, you acknowledge that you've read, understood and consent to these terms Please note that, in line with our current recruitment policy, we are unable to offer visa sponsorship for this position; applicants must have the right to work in the country that they're applying to, at the time of application. Find Jobs in United Kingdom on Arbeitnow

Northlands College is seeking an Instructor for our Electrical Program (Applied Certificate). The program will take place at our campus in Buffalo Narrows, Saskatchewan. Candidates must have a Red Seal Journeyperson certificate in electrical trade and a minimum of 5 years experience as an electrician. Areas of instruction include and are not limited to: Introductory Electrical Theory and Practices, Resistive Circuit Analysis, Conductors and Branch Circuits, Extra Low Voltage, Magnetism and Meters, Industry Communications, Introduction to Microsoft word & Excel, Mathematics for Electricians, Single Dwelling Plans, Lighting and Services, Safety and Personal Protective Equipment and Wiring Methods. The term of the contract is from November 02, 2026 to May 05, 2027. To apply, please send your resume and cover letter to careers@northlandscollege.sk.ca Please, reference competition number NC-26-021 in all communications. Deadline for applications is Monday, October 19, 2026. You may also contact the People & Culture Advisor at (306)425 4499 for a full position profile or for any inquiries on the instructor position. The wage range is $305.38 to $516.41 per day. Salary is dependent on years of experience and level of education. Northlands College welcomes applications from Indigenous people and those individuals from other employment equity groups. Northlands College recognizes the unique understanding of the social and economic realities of Northern Saskatchewan. All applicants from those living in Northern Saskatchewan are considered to have this unique understanding.

CanWest Concrete is looking for a detail-oriented and experienced Health & Safety Advisor -with NCSO to support our Health & Safety programs. The successful candidate will work closely with our current HS&E Officer, management, and field teams to maintain safety documentation, support compliance requirements, and help promote a strong safety culture across CanWest?s locations in Calgary and Leduc. Key Responsibilities Maintain, update and organize HS&E documentation, records, and databases Completing pre-qualification documents for contractors Work with dispatch to organize safety orientations, training, and onboarding Track certifications, tickets, inspections, and required documentation Supporting safety incidents, driving to site, taking images, completing reporting, and follow-ups Assist with COR audits, inspections, safety program requirements, update and file policies, procedures, safety reports, statistics, and documentation Schedule and help present safety meetings Assist with processing WCB claims, Insurance claims, traffic violations Communicate with field staff regarding safety requirements and documentation Ordering, training, and inspecting PPE Perform general administrative and HR duties as needed. Qualifications NCSO designation is required Previous experience in construction, health & safety, or a related admin role is required Knowledge of Alberta OH&S legislation and construction safety practices is required Valid Class 5 drivers license is required. Current First Aid training is preferred Strong organizational, filing and time-management skills Excellent written and verbal communication skills Strong attention to detail and ability to maintain accurate records Proficient with Microsoft Office, particularly Word, Excel, and Outlook Ability to work independently while supporting a busy management and field team Professional and approachable manner If you are an organized safety professional with strong administrative skills and a passion for workplace safety, we would like to hear from you. Starting wage will be based on experience from $33 to $38/hour, with a chance of raise at 3 months for good performance. TO APPLY, please apply through Indeed, or through our website at CanWestconcrete.com. Pay: $33.00-$38.00 per hour Experience: Health & Safety Office/Manager: 1 year (preferred) Language: Advanced English (Verbal & Written) (preferred) Licence/Certification: Class 5 Drivers License (required) NCSO ((National Construction Safety Officer) Certification (required) Work Location: In person

About The Role At thinkcell, we are continuously improving how professionals create business presentations by introducing smarter automation and assistance features into our product. In this role, you will help turn new ideas and early AI-driven concepts into reliable features used by more than 1.3 million users worldwide. You will build production-ready systems that connect modern backend services with intuitive user interfaces. In this role, you will work closely with both C++ engineers developing the core product and AI engineers exploring new automation capabilities, helping bring new functionality from concept into everyday product usage. This role is ideal for engineers who enjoy building clean, scalable systems, care deeply about code quality, and are motivated by shipping impactful features in a highly collaborative engineering environment. What you will do Build and maintain production-ready backend and full-stack features using TypeScript Integrate AI-powered functionality into the thinkcell product, such as text editing assistance and automated slide creation Work closely with C++ engineers and AI engineers to translate ideas and prototypes into robust product features Contribute to a strong engineering culture with rigorous code reviews and high standards for code quality You will be great for this position if you have A degree in computer science, mathematics, physics, or a similar technical field Relevant experience as a backend or full-stack engineer Strong experience with TypeScript and Node.js in production environments Curiosity about AI technologies and interest in integrating them into real-world products Experience with Python or C++ is a plus What We Offer Brilliant Team: Work with international colleagues with strong academic and professional experience Work–life balance: Flexible working hours and an environment that respects your time and focus. Stable Environment: Join a market leader with a reliable product. Direct Exposure to C-level Competitive salary & Relocation Support to Berlin Our Values As part of our team, you will embody and help shape the following principles that define us: Forward Thinking : We embrace change and challenge the status quo. Ownership : We take pride in our work and learn from our mistakes. Customer First : We prioritize delivering lasting value. Unified Team : We foster collaboration, respect, and integrity. Strive for Excellence : We set ambitious goals and pursue quality. We believe in a human hiring process, every application is personally reviewed. Why is thinkcell the right place for you? We empower over 1.3 million users across 35,000 companies, including top consulting firms and major global enterprises. With offices in Berlin, Munich, Denver, Boston, London, Tokyo, and Dubai, we're a diverse team of over 240 people, committed to innovation and excellence. thinkcell is more than a job – it's a chance to be part of an innovative, inclusive team that values collaboration and growth. We encourage applicants from all backgrounds to apply. Together, we can shape the future of productivity software. We can't wait to see what you'll bring to the team! Find Jobs in United Kingdom on Arbeitnow