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At 5Plus (part of Pentadoc Group), we build production-grade AI systems that solve real operational problems for our customers. As a Senior AI Engineer (m/f/d), you will take technical responsibility for customer-facing AI solutions — from early design decisions to production deployment and operation. You will design, build, and operate AI applications ranging from LLM-powered workflows (e.g., intelligent document processing, RAG systems) to agentic AI systems that are actively used in customer environments. German language skills at C1 level and above are mandatory for this role. You'll work closely with customers and internal engineers to translate ambiguous requirements into reliable, scalable systems and guide AI-driven product development within customer projects. This role is hybrid , with predominantly remote work and occasional on-site presence at customer locations across Germany and our office in Würzburg, Bavaria. Your profile Several years (3–6) of hands-on experience building and operating AI/ML systems in real-world projects . Solid experience implementing agents on the LangChain stack ( LangGraph , DeepAgents , LangFuse ) in Python , including FastAPI interfaces/integrations (minimum of 3 agents per project) Basic knowledge of AWS (e.g. ECS , CDK , …) Strong Python expertise (app. 5 years) and experience with modern AI/LLM tooling; framework-agnostic mindset. Proven experience with LLM-based systems (e.g., RAG, embeddings, tool usage) and an understanding of trade-offs between quality, cost, latency, and complexity. Ability to work independently in customer-facing environments , taking ownership of technical decisions under uncertainty. Professional communication skills in customer contexts. Residence in Germany . Bonus points to score Deeper experience with agentic architectures (planning, memory, multi-agent coordination). Experience deploying and operating AI services in cloud environments (AWS, Azure, etc.). Contributions to open-source projects, technical writing, or applied research. Your daily business Design and ship end-to-end AI systems, from prototype to production. Build LLM-powered applications (incl. RAG, tool usage, validations) with a focus on reliability and cost-efficiency. Develop and operate agentic AI systems (e.g., planning, tool orchestration, multi-step workflows) with clearly defined safety and integrations into customers' systems Define evaluation strategies (offline + online), including metrics, benchmarks, and monitoring. Optimize system performance across latency, cost, and quality. Take technical leadership within customer project teams , coordinating architecture, implementation, and iteration cycles. Act as a technical point of contact for customers , explaining trade-offs and guiding solution decisions. Work directly with customers and internal teams to turn ambiguous, real-world problems into concrete AI solutions. Contribute to architectural decisions and support less-experienced engineers through technical guidance (no people management). Some of your benefits at 5Plus Real ownership: Build and own AI solutions that go live quickly! Small, experienced team with fast decision-making . Flexible working hours and freedom to choose your workplace . Learning budget and support for conferences and publications . Pentadoc Group offers additional benefits, feel free to check out everything To plan an initial conversation quickly, please make sure your application contains all relevant documentation and information, you'd like to share with us. We look forward to meeting you! Find more English Speaking Jobs in Germany on Arbeitnow

Elliptic is the leader in digital asset decisioning, we have built the most comprehensive platform for efficiently extracting crypto data and intelligence across blockchains with the greatest accuracy. Our platform's unrivalled uptime, scalability, depth and breadth of our data and intelligence means exacting organizations choose Elliptic for their compliance, risk management, intelligence operations and blockchain infrastructure needs. Founded in 2013, Elliptic is headquartered in London with offices in New York, Washington D.C., UAE, Singapore and Tokyo. To learn more, visit www.elliptic.co and follow us on LinkedIn and X . Do you want to lead a data science team on a problem the industry has not solved yet, while still writing code yourself? Are you excited about building the data foundation for how compliance works when the customer is an autonomous agent rather than a person? Are you looking for a values led company where a small team is trusted with a question that matters commercially in months, not years? The impact you will have: You will lead data science inside Elliptic's Intelligence team, alongside Intelligence Collection, Research and Investigations, and Professional Services. This is deliberately a player-coach role with a prospect of scaling a team. At first you will lead a small team of data scientists and you are expected to own the team's direction, performance and growth. You will own the evidence for the models your team builds, and you will represent them at Elliptic's model risk governance forum. This is not a compliance tax bolted onto the technical work: it is the reason institutions trust our outputs. The reason we are hiring a lead as we add more data scientists is that a small team working on an unsolved problem needs someone who intrinsically understands the domain, not a layer of management above it. You will set what this team works on, hire the next people into it, and be the person whose technical judgement the team trusts because you can do the work yourself. What you will do: Lead and grow the team. Set objectives with your data scientists in the context of company strategy, own their performance and development, and be the manager who has the difficult conversation rather than deferring it. Level the team against Elliptic's Intelligence career framework and build real development paths. Hire the next data scientists. Own the hiring process end to end with support: levels, job descriptions, hiring plan, interview panel and bar, and the hiring decision. Team growth to seven to nine people over time depends on you getting this right early. Build the collection for the future of compliance. Take it from a directive to a specification to delivered data: define what good looks like, sequence the work, set the quality bar, and be honest about what the dataset does and does not support. Own model governance for your team's models. Keep the model inventory current and correctly tiered, make sure validation and testing evidence exists at the standard each tier requires, monitor for drift and act on threshold breaches, and submit material changes and production deployments for review with the testing artefacts attached. Own the remediation of issues raised against your models, to agreed deadlines. Lead Elliptic's data science work. Frame the research question, run the first experiments, and form a defensible view of what Elliptic needs to be able to do and by when. Bring that view to Intelligence leadership, the Chief Scientist and Product as a recommendation rather than as an open question. Stay technically hands on. Write code, review your team's work at the level of method rather than output, and make the method calls yourself when they matter. Own the team's existing commitments. The team's current work on clustering, attribution, heuristics and labelling continues to serve the platform. You own its reliability and its trade offs, and you decide what to stop. Work across functions. Partner with Intelligence Collection, Collection Engineering, Research and Investigations, the Chief Scientist, Product and Engineering, so that data science work lands as platform capability rather than as analysis nobody uses. Set the AI working standard for the team. Decide how your team uses AI in its engineering and research workflow, what must be verified and how, and hold the team to it. What you will achieve in the first 6 months: The collection plan delivered at a scale that supports real model or heuristic work, with a documented path to maintaining it. An agreed Elliptic position on the evolution of compliance systems, timed against expected industry demand, with the first capability work either underway or deliberately deferred with stated reasons. At least one data science hire made, and the existing levelled against the career framework with development plans in place. Model governance in good standing for everything your team owns: inventory current and correctly tiered, no overdue validations on the highest tiers, monitoring in place with acted-upon thresholds, and no open issues past their remediation deadline. Data science objectives for Intelligence agreed and delivering, with other functions able to state what they can expect from the team and when. A visible improvement in the reliability or throughput of the team's core output, attributable to a change you made. Technical credibility intact: the team takes your method judgements seriously because you can do the work. You will be a great fit here if you: Want to lead a team without leaving the technical work behind, and can say honestly where you draw that line. Are comfortable being accountable for a question nobody has answered yet, including for saying what you do not know. Treat management as the work rather than as overhead: objectives, feedback, development and difficult conversations included. Treat governance as part of building good models rather than as paperwork that follows them, and would rather surface a problem with your own model than have someone else find it. Are pragmatic about trade offs between rigour and speed, and can explain the trade off you chose. Make other teams more effective rather than treating them as consumers of your team's output. Are curious about how the company operates beyond your own function. Care about the mission of using intelligence to fight financial crime and protect the global financial system. Our ideal candidate has: AI fluency, which is essential for this role. You must be able to demonstrate how you apply AI tools and approaches within a data science workflow: writing and debugging code, exploring unfamiliar data, accelerating pipeline and model work, and automating repetitive tasks. You must also be able to show how you critically evaluate the output, where you would not rely on it, and how you set verification expectations for a team rather than only for yourself. This is assessed in a dedicated stage of the interview process, working with your own tooling. Demonstrated experience managing data scientists or machine learning engineers: setting objectives, owning performance including underperformance, and developing people. You can point to someone whose career changed because of how you managed them. Experience hiring into a technical team, including defining the bar rather than only sitting on panels. Deep, hands on data science and machine learning capability that is current. Strong Python and SQL, and the ability to interrogate large behavioural or transactional datasets yourself and defend your method under challenge. A track record of taking an ambiguous question to a delivered dataset, model or capability, including deciding what was good enough. Experience with a modern data stack comparable to ours: a cloud data lake, Spark or Databricks, and AWS. Clear communication with technical and non technical stakeholders, and the ability to cascade direction to a team so that each person knows why their work matters. Based in Washington, D.C. or willing to relocate there. US citizenship Bonus Points for: Work on agentic systems, LLM agents or autonomous transaction flows, whether in compliance, payments, fraud or infrastructure. Experience building a large dataset or collection from nothing, including the unglamorous parts: schema decisions, quality checks, and maintenance. Blockchain or on chain data experience: clustering, attribution, heuristics, anomaly detection, mempool analysis, or research into privacy preserving systems. Experience in payments, fraud or risk data science, where the cost of a false negative is commercial rather than academic. Having grown a team from a few people to a full department, and being able to describe what broke on the way. A PhD or equivalent research training, or a record of published applied research. Experience in a regulated environment or with model risk management frameworks, whether in financial services, or as a vendor to it, or in another domain with equivalent assurance requirements. Job Benefits > How we work: Hybrid working and the option to work from almost anywhere for up to 90 days per year £500 Remote working budget to set up your home office space > Learning & Development: $1,000 Learning & Development budget to use on anything (agreed with your manager) that contributes to your growth and development > Vacation/ Leave: Holidays: 25 days of annual leave + bank holidays An extra day for your birthday Enhanced parental leave: we provide eligible employees, regardless of gender or whether they become a parent by birth or adoption, 16 weeks fully-paid leave and leave. > Benefits: Private Health Insurance - we use Bupa! Full access to Spill Mental Health Support Life Assurance: we hope you will never need this - but our cover is for 4 times your salary to your beneficiaries Cycle to Work Scheme We know Diversity and Inclusion is much deeper than just hiring, but it's important for us to mention it here. We welcome and embrace individuals of all backgrounds and identities at Elliptic, and this is an ongoing priority for us. We know incredible people don't all think in the same way. We want to be challenged every day. We believe our diverse team of individuals underpins this by bringing creative thinking and innovation to Elliptic every day. We are committed to creating a diverse, inclusive and equitable workplace, so we welcome applications from everyone, even if you may not think you fit all of the requirements of our roles. We foster an environment of psychological safety, where everyone feels comfortable to bring their whole self to work. Find Jobs in United Kingdom on Arbeitnow

At Bumble, we're building the Love Company — a place where healthy, equitable relationships and friendships can start and grow. Machine Learning sits at the heart of that mission, helping us understand what makes a meaningful connection and powering the matching, recommendation and personalisation experiences that bring people together. As our Principal Machine Learning Engineer, Matching & Recommendations , you'll help define the technical and ML strategy behind the next generation of Bumble's recommendation systems. You'll remain hands-on while tackling complex problems across retrieval, ranking, personalisation, experimentation and two-sided marketplace optimisation , partnering across Engineering, Product, Data Science and Analytics to turn ambiguous member problems into scalable ML solutions. You'll lead through technical influence, raise the bar for ML engineering across the organisation, and help us build systems that optimise not simply for engagement, but for better connections and meaningful member outcomes. What you'll do Define and lead the technical strategy for AI and Machine Learning systems that power recommendations, matching, ranking and personalisation across Bumble products, delivering measurable improvements in member outcomes, engagement and safety. Design, develop and deploy production-grade models using modern ML frameworks such as PyTorch , ensuring scalability, reliability and performance in high-traffic environments. Build and deploy production AI agents using foundation models and fine-tuned Large Language Models (LLMs), alongside sub-agents, tools and MCP integrations . Architect end-to-end ML pipelines, integrating large-scale data processing technologies such as Spark and Airflow with model training, evaluation, deployment and monitoring workflows. Define and evolve experimentation strategies, including A/B testing, offline evaluation and online measurement , to continuously improve model performance and product outcomes. Partner cross-functionally with Product, Engineering and Data leadership to translate complex business and member challenges into impactful ML solutions, collaborating with purpose and influencing at senior levels. Mentor and elevate senior individual contributors, fostering a culture of Excellence, Curiosity and continuous learning across Bumble's ML community. Take ownership of complex and ambiguous problem spaces, seeing initiatives through from insight to measurable impact whilst adapting approaches as new information emerges. Champion responsible AI practices , ensuring fairness, transparency, privacy and member safety are considered throughout the design and operation of Machine Learning systems. About you Typically, you will have 10–15 years of relevant experience , although we welcome candidates with alternative backgrounds who can demonstrate equivalent skills, scope and impact. You have deep expertise in Machine Learning, with significant hands-on experience designing, building and deploying large-scale ML systems in production environments . You have strong proficiency in Python and at least one major ML framework, such as PyTorch or TensorFlow , with experience in areas such as recommendation systems, ranking, retrieval, personalisation or NLP. You understand modern recommendation-system approaches and can reason deeply about model architecture, features, loss functions, evaluation methodology, experimentation and the trade-offs between offline performance and online outcomes . You have experience prompting and fine-tuning Large Language Models (LLMs) and building production AI agents using modern agentic architectures and tooling. You have proven experience designing scalable data and ML pipelines using technologies such as Spark, Airflow , or comparable distributed data and orchestration systems. You have demonstrated the ability to operate as a senior individual contributor, setting technical direction and influencing strategy across teams without relying on direct authority . You are comfortable navigating highly ambiguous technical and product problems, balancing immediate delivery with longer-term architectural and ML strategy. You partner effectively across functions, collaborating with purpose and taking ownership of outcomes in complex organisational environments. You have a track record of mentoring and developing other engineers, role-modelling Respect and Excellence whilst helping build inclusive, high-performing teams. You bring strong AI fluency and technical judgement, with the ability to independently design, evaluate and optimise ML systems whilst guiding others in the responsible and effective application of AI. About Us Bumble Inc. is the parent company of Bumble Date, BFF, and Badoo. The Bumble platform enables people to build healthy and equitable relationships, through Kind Connections. Founded by Whitney Wolfe Herd in 2014, Bumble was one of the first dating apps built with women at the center and connects people across dating (Bumble Date) and friendship (BFF). BFF is a friendship app where people in all stages of life can meet people nearby and create meaningful platonic connections and community based on shared interests. Badoo, which was founded in 2006, is one of the pioneers of web and mobile dating products. AI Fluency AI is important to us. We're excited by people who are curious and experimental, and who think thoughtfully about how AI can amplify their impact and outcomes. We encourage you to use AI responsibly as you prepare your application. Please don't use it to fabricate experiences or answer questions live in interviews. We care deeply about authenticity and want to understand your real skills, judgment and voice, because building a meaningful, genuine connection with you matters to us. Final Compensation Will be determined based on factors such as the selected candidate's qualifications, relevant experience, skill set, and other job-related considerations. Inclusion at Bumble Inc. Bumble Inc. is an equal opportunity employer and we strongly encourage people of all ages, color, lesbian, gay, bisexual, transgender, queer and non-binary people, veterans, parents, people with disabilities, and neurodivergent people to apply. We're happy to make any reasonable adjustments that will help you feel more confident throughout the process, please don't hesitate to let us know how we can help. In your application, please feel free to note which pronouns you use (For example: she/her, he/him, they/them, etc). AI in Bumble Inc. Hiring At Bumble, we may use AI tools to support parts of our recruitment process — such as helping us record, transcribe, and summarize conversations, and supporting job alignment by comparing resumes and job descriptions to highlight skills and potential roles that may be a good match. These tools help us work more efficiently and stay focused on you during our conversations. Importantly, all hiring decisions are made by people. AI is used only to support our team's efficiency and improve the candidate experience — not to evaluate or decide on your candidacy. Participation in AI-supported interviews and conversations is completely voluntary and will not impact your candidacy. If you'd prefer to opt out, simply let your recruiter or interviewer know at the start of a call, or anytime during the interview or conversation. Summaries and related data are retained only as long as needed in line with our internal data retention policies. If at any point you'd like a transcription or summary deleted, please contact your recruiter directly. Fraudulent Candidate Detection Our applicant tracking system analyzes signals relating to device, IP, email, and phone data associated with each application to protect applicants and our hiring process from fraudulent applications. These signals provide indicators for internal review only and do not constitute a definitive determination of identity or intent. No applicant is rejected, advanced, or otherwise affected based solely on this analysis without human review For further information on how we hold and manage your data, please refer to our Privacy Policy . Find more English Speaking Jobs in United Kingdom on Arbeitnow

About Voodoo Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. Team The Engineering & Data team builds innovative tech products and platforms to support the impressive growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile gaming industry. As a Senior Data Product Manager, you will be joining the BI/Prediction Team which is an autonomous squad of around 10 people, delivering best-in-class predictive solutions using Machine Learning algorithms for our growth operations. The team is composed of top-tier data scientists and analysts. Role We are looking for a Senior Data Product Manager who is deeply passionate about machine learning and data-intensive products, leveraging among the largest datasets available in the industry. You will play a crucial role in building ML prediction products for our growth operations while working in direct cooperation with our Prediction Tech Lead. Drive and own product vision, strategy and roadmap, guide feature prioritization and scope. Conduct discovery with growth and other stakeholders (e.g., Gaming) to anticipate business needs and detail the specifications for the tech team. Coordinate new product releases (e.g., prediction for a new app), assess impact and collect users feedback. Address stakeholders questions/feedback, onboard them on the product, perform analysis, and flag key prediction/analytics issues to tech. Collaborate with external partners (e.g., networks, MMM) on prediction projects, and identify new opportunities via benchmarking. Stay updated on privacy topics (e.g., Privacy Sandbox, ATT) through monitoring and testing. Support the tech team by identifying new organizational tools and processes to improve efficiency. Act as the main point of contact for top management on deliveries and decisions Apply analytical thinking to continuously evaluate and improve product performance Profile Extensive proven experience as a Product Manager in the tech industry Data analyst or Data Scientist background is a strong plus Value-driven, data-driven, and open-minded problem solver Great communicator and a team player, who likes to drive results together. You are fluent in English and have a French conversational level. Interest in gaming and mobile apps Benefits Competitive salary upon experience Swile Lunch vouchers Gymlib (100% borne by Voodoo) Premium healthcare coverage SideCare, for your family is 100% borne by Voodoo Child day care facilities (Les Petits Chaperons rouges) Wellness activities in our Paris office Flexible vacation policy Remote days Find Jobs in France on Arbeitnow

Your Role As Data Analyst in Operations at FINN, you will be at the heart of driving our business operations through data-driven insights. By leveraging advanced analytics tools and techniques, you will uncover trends, forecast outcomes, and provide actionable recommendations that validate the impact of strategic decisions. This role is perfect for a proactive problem solver who thrives in a data-rich environment. We've fully embraced AI-assisted development to amplify our impact, and we're looking for a teammate who is excited to build and innovate using modern, AI-driven workflows too. Your Responsibilities Be a Domain Expert : As a domain expert, lead in-depth and advanced analysis of Operations data to uncover actionable insights that elevate performance and drive strategic decisions in areas like logistics, customer service, damage management, and risk assessment. Own the semantics of Operations data : As the authority on Operations metrics, you ensure a unified data language across the domain. By standardizing key terminology, you enable deeper insights and faster decision-making for accelerated growth and improved operational efficiency and customer satisfaction. Craft Compelling Narratives : Transform complex data into visually stunning dashboards, reports and appealing data stories that tell a clear status and allow actionable insights. Be a Data Evangelist : Partner with cross-functional business, tech teams and data teams to continuously enhance data processes and tools, ensuring every move is backed by cutting-edge analytics. Your Profile Graduated with a Master's degree in a quantitative field of study. 3+ years of professional experience in data analytics with a focus on Operations Domain at a scaleup. Advanced SQL modeling with dbt (Data Build Tool). Proficiency in data visualization with Looker (or similar BI tool). Proficiency in applying statistical analysis. Python skills with strong willingness to learn more. Proven experience integrating AI tools (e.g., Claude, Cursor) into your daily analytics workflow to write code, explore data, and ship work. Fluent in English. German is a plus. Why FINN? Remote Work: You have the flexibility to work either in our Munich office or remotely in Germany. Shared Success (VSOP Equity Program): We win together. Through our Virtual Stock Option Program, you benefit directly from the long-term growth and success of FINN. Fuel your Growth (3.000€ Development Budget): Standing still is not an option. With your annual development budget for further training and seminars, you decide how you want to grow personally and professionally. Family First (Childcare Subsidy & Flexibility): We support you and your family. Benefit from a monthly childcare subsidy, exclusive access to daycare spots in Munich, and maximum flexibility to balance work and family life stress-free. Company Pension Scheme (bAV): We think about your future. FINN subsidizes your company pension plan with a strong employer contribution of 66%. Experience our Product (25% Car Subscription Discount): Become a FINN driver yourself! You will receive a generous employee discount or can alternatively take advantage of our attractive bike leasing scheme. Health & Mindset (Sports & Wellbeing): Your energy is our drive. Benefit from a subsidized EGYM Wellpass membership for fitness and sports, as well as professional mental health support. Munich Office Life: Barista-style coffee, matcha, and a luscious fruit basket await you at our modern headquarters in Munich. On top of that, there is a daily lunch subsidy for those in the office. Team Spirit & Corporate Events: We are more than just colleagues. Whether it's summer events by the lake or simply a relaxed after-work drink, we celebrate our milestones together at regular team events. About Us FINN is Germany's leading car subscription platform and one of the country's few unicorns in the mobility sector. With over 400 colleagues from more than 40 nations, we are building the future of mobility and making access to your own car more seamless than ever before. What truly makes us proud, however, isn't just the numbers, but what lies behind them: our strong team drive, the will to challenge the status quo, and the ambition to make a real difference. With us, you have the opportunity to take on direct responsibility in one of the fastest-growing scale-ups in Germany and actively shape our success story. We´re just getting started! More information: www.finn.com Equal Opportunities for Everyone FINN is an equal opportunity employer. We embrace and celebrate diversity and are committed to creating an inclusive environment for all employees. We are open to all groups of people without regard to age, color, national origin, race, religion, gender, sex, sexual orientation, gender identity and/or expression, marital status, or any other legally protected characteristics. Ready for the future of mobility? Apply now! Come on board and become part of our Hyper-Growth Story! Your first point of contact is Anna - we keep things moving fast and guide you every step of the way. Everything you need to know about our hiring process and company culture is in our Recruiting Booklet . Find more English Speaking Jobs in Germany on Arbeitnow

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems. Our customers leverage the Databricks Data Intelligence Platform to power their mission critical Data and AI applications to improve how their organisations leverage data and insights to make better decisions, faster. Customers rely on Databricks for the full range of data workloads, including data engineering, ETL, near real-time streaming, machine learning, SQL analytics, and advanced analytics. The Solutions Architect (EDW Migrations) executes on Databricks' strategic product lines to develop, establish and drive product adoption and product market fit to grow customer adoption across EMEA. By working with leadership, product and direct account teams, you will jointly engage customers, foster the necessary relationships and position in-depth approaches to migrating their EDW to the Databricks Intelligence Platform. You will develop the appropriate approach, the guardrails, and the steps needed for customers to successfully deliver on their business objectives. The Solutions Architect (EDW Migrations) is paired with Product Specialists for Data and Governance. Together, you will devise and implement a strategy across key accounts, develop presentations, demos and other assets, and with account teams deliver them such that the field and customers make informed decisions on adoption strategy and its implementation. The impact you will have Lead Regional Migration Strategy: Collaborate with EMEA GTM leadership and account teams to design and drive the technical GTM and adoption strategy for large-scale EDW migrations to the Databricks Intelligence Platform Develop Programmatic and Scalable Migration Processes: Architect and continuously refine programmatic assets and detailed technical guides that enable field teams and partners to execute migrations. Build and Integrate Assessment Tooling: Help maintain, enhance, and direct the development of automated assessment tools from customer engagements. Drive Tier-3 Technical Championship: Act as the ultimate technical escalation point for highly complex, strategic, or stalled migrations in must-win accounts across EMEA. Enable and Scale the Regional teams: Scale the presales migration practice by mentoring and coaching the EMEA community of Solutions Architects (SAs) and Specialist SAs (SSAs) to ensure scale. Bridge Field Insights and Product R&D: Serve as a primary technical feedback loop to Product Management and Engineering. Establish Industry Thought Leadership: Author whitepapers, publish technical blogs, and deliver high-impact presentations at public forums (such as the Data + AI Summit) to position the Databricks Intelligence Platform as the premier platform for enterprise database modernization. Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical environments. Competencies & Responsibilities 8+ Years of Customer-Facing Experience in a customer-facing pre-sales, architect, or consulting role influencing technical executives (CIOs, CISOs, DBAs, and Platform Leads) and driving high-level database modernization strategy. Legacy Data Warehouse & Modernization Architecture understanding of legacy EDW systems (any of Teradata, Netezza, Snowflake, Synapse, Redshift, and Exadata) and architectures required to successfully transition workloads to the Databricks Data Intelligence Platform. Mastery of migration migrations scope & progression taking customers from EDW to the full capabilities of the Data Intelligence Platform. Demonstrated competence in the Lakehouse architecture including hands-on experience with Apache Spark, Python and SQL Excellent communication skills; both written and verbal Public Cloud Architecting: Hands-on experience designing and implementing big data architectures within major public cloud environments (AWS, Azure, or GCP) Strategic Enablement & Community Mentorship Experience collaborating with Professional Services and Global Systems Integrators to standardize migration delivery methodologies and ensure smooth handoffs. 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 United Kingdom on Arbeitnow

At Statista , we're all about facts and data, for we are the world's leading business data platform. By providing reliable and easy-to-use data as well as various data analytics products and services, we empower people worldwide to make fact-based decisions. Founded in Hamburg in 2007, we have quickly grown into a global company with offices in major cities such as London, New York, Berlin and Tokyo. And we still have a lot of plans. Our constant growth does not only prove our success, but also keeps creating new development and career opportunities for our employees. We value and celebrate our diverse culture. You are welcome here for who you are, no matter where you come from, what you look like, or whether you prefer bar graphs to pie charts. Your story matters – keep writing it as part of our team. Are you ready to join us? Your role Design, build, and optimize scalable data models using modern data stack tools (e.g., dbt, Snowflake) Transform raw data into clean, reliable, and well-documented datasets for analytics, reporting, and operational use Collaborate closely with data engineers, analysts, tracking teams, and business stakeholders to define data requirements and ensure alignment Implement and maintain data quality checks, testing, and monitoring to ensure accuracy and reliability Develop and manage semantic layers to standardize and govern key business metrics Improve data accessibility and usability across teams by promoting best practices and clear data structures Document data models, definitions, and workflows to enhance transparency and data literacy Contribute to data governance, harmonization, and automation initiatives, including enabling AI-driven analytics use cases Your profile 3+ years of experience in analytics engineering, data engineering, or a related role Strong SQL skills and solid experience in data modeling (e.g., dimensional modeling, star schemas) Hands-on experience with modern data stack tools and technologies (e.g., dbt, CI/CD) and openness to AI-assisted development workflows (e.g., Claude Code or similar) Experience working with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) Strong attention to detail with a quality-focused and structured working style Interest in data governance, standards, and scalable data architecture Analytical mindset with strong problem-solving skills Excellent communication skills in English (German is a plus), with both technical and business stakeholders, combined with a solid understanding of business requirements and contexts What we offer In addition to our great team, culture, and our shared goal of empowering people with data, there are many other things that make Statista a great place to work! Join us and benefit from: Work from abroad up to 30 calendar days a year Hybrid work and flex-time International team and social events Subsidized urban mobility and access to fitness and wellness options Free access to Langdock and all its amazing functionalities Career & training opportunities Attractive locations and modern offices Mental health support with OpenUp Some of the benefits listed here apply only to the German entity and to Junior-level roles or above. Find Jobs in Germany on Arbeitnow

At Statista , we're all about facts and data, for we are the world's leading business data platform. By providing reliable and easy-to-use data as well as various data analytics products and services, we empower people worldwide to make fact-based decisions. Founded in Hamburg in 2007, we have quickly grown into a global company with offices in major cities such as London, New York, Berlin and Tokyo. And we still have a lot of plans. Our constant growth does not only prove our success, but also keeps creating new development and career opportunities for our employees. You'll join our Survey and Modeled Data Tools team , part of Data Engineering within Data Production. We build the tools and platforms behind some of Statista's core data workflows, helping analysts and researchers turn complex processes into scalable, reliable, and reusable solutions. Our work ranges from developing a shared platform for building and updating modeled market data , used by analysts across markets and industries, to creating tools and data infrastructure that support our global survey workflows . We work closely with analysts, researchers, and other engineering teams, putting our team right at the intersection of data engineering, software development, and real business use cases . You'll work on a mix of data engineering, backend services, workflow automation, and AI-powered tooling . This means improving systems that are already used in production while also helping us design the next generation of our platform infrastructure. You'll have the opportunity to take ownership of technical solutions from idea to production and help us make complex data workflows more automated, scalable, and maintainable. We value and celebrate our diverse culture. You are welcome here for who you are, no matter where you come from, what you look like, or whether you prefer bar graphs to pie charts. Your story matters – keep writing it as part of our team. Are you ready to join us? Your Role Work closely with analysts, stakeholders, and engineers to design, build, and improve modeled data workflows. Build and maintain backend services, data pipelines, AI agents, and workflow orchestration systems. Standardize and consolidate fragmented workflows and standalone tools into a centralized platform. Support, maintain, and continuously improve production-grade internal tools and workflows. Contribute to platform architecture, operational reliability, and the continuous automation and optimization of analytical workflows. Collaborate with cross-functional teams to translate evolving business and analyst/researcher requirements into practical technical solutions. Your Profile Strong Python skills with experience in backend systems, data pipelines, workflow automation, or internal tooling Hands-on experience developing AI-powered applications using LLMs, AI agents, and modern AI APIs. Solid understanding of SQL, databases, and data modeling concepts Experience with Git and writing clean, maintainable, and well-structured code Familiarity with workflow orchestration and general data engineering concepts Understanding of containerization and cloud environments, such as Docker or AWS, is a plus Ability to thrive in a fast-evolving environment and adapt to changing technologies and business requirements. Structured and thoughtful approach to problem-solving with attention to maintainability and scalability Comfortable collaborating with analysts, engineers, and stakeholders in a cross-functional environment Strong communication skills and fluent English What we offer In addition to our great team, culture, and our shared goal of empowering people with data, there are many other things that make Statista a great place to work! Join us and benefit from: Work from abroad up to 30 calendar days a year Hybrid work and flex-time International team and social events Subsidized urban mobility and access to fitness and wellness options Free access to Langdock and all its amazing functionalities Career & training opportunities Attractive locations and modern offices Mental health support with OpenUp Some of the benefits listed here apply only to the German entity and to Junior-level roles or above. Find Jobs in Germany 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 Jobs in Germany on Arbeitnow

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