Senior Data Analyst (AI-Enabled Analytics) (all genders)

Taxfix

OUR STORY: Every year millions of people are either filing their taxes in fear or giving up on their tax refund altogether. We're working on fixing that. Our intuitive app enables anyone, regardless of education or background, to file their taxes with newfound confidence. Spread across Germany, Spain and the UK, the team at Taxfix Group with its brands Taxfix and Steuerbot, is a compassionate group of solution-finders. We speak our minds openly, and with over 400 professionals, including tax experts, developers, and IT security experts, we're rich in ideas and voices. The group has facilitated more than 3.5 billion euros in tax refunds for its customers since its founding in 2016. YOUR CHALLENGE: Taxfix makes tax filing simple, fast, and accessible for millions of users across Europe. Behind the product sits a data platform that powers everything from business analytics and regulatory reporting to ML and AI-driven product features. We’re growing and the platform needs to grow with us. We are looking for an experienced Data Platform Engineer to design, build, and operate the infrastructure and pipelines that make data at Taxfix reliable, compliant, and ready for AI. You will own the systems that move data from operational databases, APIs, and SaaS tools into our analytical environment and make sure that data is correct, timely, and safe to use. Your work will directly enable ML and AI-powered product experiences, self-serve analytics, and regulatory reporting. YOUR TEAM: The Data Platform team is part of the Data Organization, which enables everyone at Taxfix to make data-driven decisions, drive business growth, and power ML and automation in our products. Within our group we have product analysts, analytics engineers, machine learning engineers, and data engineers working across the whole company. The platform team serves many consumers analytics, ML, product, and compliance so you can expect to join cross-functional project teams regularly, working alongside backend and frontend engineers, analysts, ML engineers, product and design. Team members are all data engineers but from different backgrounds. We rely on each other to deliver our best, grow together, share knowledge openly, and invest in personal development through mentoring and innovation. YOUR RESPONSIBILITIES AND DECISIONS: * Contribute to and operate cloud platform infrastructure - manage GCP resources (GCS, Dataflow, Dataproc, k8s, Pub/Sub…), provision and maintain environments with Terraform and help ensure the platform is reliable, predictable, cost-efficient and scalable * Build and maintain ingestion pipelines that capture changes from application databases, APIs, SaaS and deliver clean, analytics-ready tables to our cloud data warehouse * Operate and improve our orchestration layer - scheduling, retries, SLA tracking, and observability for data pipelines * Design data models with proper layering that handle real-world data complexity: out-of-order events, schema evolution, late arrivals, and backfills * Own data quality monitoring - build validation, monitoring, and alerting that catches problems before downstream consumers do * Implement privacy and compliance controls - anonymization, pseudonymization, access policies, and deletion propagation (GDPR right-to-be-forgotten) across raw and derived layers * Prepare data for ML and AI use cases - build governed, privacy-safe datasets and feature pipelines that ML engineers and data scientists can use for model training, evaluation, and production inference * Use AI effectively in engineering workflows - leverage AI-assisted development where it improves delivery quality and speed, and share best practices with the team * Build scalable AI platform capabilities - develop reusable, production-grade patterns for AI workloads (governed data access, privacy-safe telemetry, evaluation datasets, and cost/quality monitoring) that multiple teams can adopt YOUR PROFILE: * 4+ years of experience in Data Engineering or a similar role (backend engineer working on data-intensive systems counts) * Strong Python skills for data pipeline development - you write production code, not just scripts * Strong SQL skills - window functions, CTEs, query optimization are second nature * Experience with event-driven data pipelines - CQRS, event ordering, idempotency, and the difference between initial load and incremental processing * Expert with Airflow - you’ve built DAGs with proper task dependencies, retries, and monitoring * Strong Snowflake or other modern data warehouse knowledge - resource management (compute/warehouse sizing, concurrency), security & governance (roles/RBAC, column/row-level masking), columnar storage & partitioning/clustering concepts, and query performance & cost optimization in production * Cloud platform experience - you’ve worked with GCP (GCS, Dataflow, Dataproc etc) or equivalent AWS/Azure services and understand how to manage cloud resources at scale * Infrastructure-as-code - experience with Terraform, Helm, or similar tools for provisioning and managing cloud environments * K8S and Docker containerization - you package and deploy your own work * Data quality mindset - you profile data, validate assumptions, build checks, and don’t trust that “the data looked clean” * Data for AI readiness - you have experience preparing data for ML and AI use cases with appropriate governance, lineage, and privacy controls * Awareness of data privacy requirements - you can identify PII, understand GDPR, and know how to implement anonymization and deletion across multiple data layers * AI-enabled engineering practices - you actively use AI assistants and code generation tools to accelerate development and deliver, and you share effective practices with the team WHY TAXFIX? * A chance to do meaningful, people-centric work with an international team of passionate professionals. * Holistic well-being with free mental health coaching sessions and yoga. * A monthly allowance to spend on an extensive range of services that you can use and roll over as flexibly as you like. * Employee stock options for all employees because everyone deserves to benefit from the success they help to create. * 30 annual vacation days and flexible working hours. * Work from abroad for up to six weeks every year. Just align with your team, and then enjoy your trip. * Plenty of opportunities to socialise as a team. In addition to internal tech meetups, our international team hosts regular get-togethers - virtually and in person when possible. * Free tax declaration filing, of course, through the Taxfix app - and internal support for all personal tax-related questions. * Have a four-legged friend in your life? We’re happy to have dogs join us in the office. Excited? So are we. Learn more about Team Taxfix on our blog and get a glimpse of our culture.   At Taxfix, we believe that incredible things happen when you have a wealth of perspectives and experiences. We're proudly committed to equal employment and development opportunities no matter your gender, race, religion, age, sexual orientation, colour, disability, or place of origin. To help mitigate any potential unconscious biases, we ask that you refrain from including your picture, age, or marital status on your CV. Let your experiences speak for themselves.

AMBOSS

ABOUT AMBOSS AMBOSS is the copilot for medical professionals, empowering them to provide the best possible care through our learning and clinical decision support tool. Our team brings together care, innovative thinking, and cutting-edge AI medical technology. Our founders launched AMBOSS in 2012 with the goal of creating a tool they wished they had during medical school and clinical practice. Since then, we've grown to over 600 employees and are active in over 180 countries - primarily in Germany and the US. Our offices are located in Berlin, Cologne, New York, Cagliari and Cape Town. Want to learn more about our culture? Watch our videoto explore what makes us unique WHY DATA & ANALYTICS AT AMBOSS? Join a high-trust, cross-functional team where data sits at the heart of every product decision, commercial bet and operational process. You will work side-by-side with our Analytics team, Product, Engineering, Commercial, Medical and Operations colleagues to turn a modern, cloud-native stack (GCP/AWS, BigQuery, Airflow, Airbyte, dbt, Looker, Mixpanel, Claude Code) plus a growing set of integrations and internal tools into reliable insights that move the business forward. Your work will guide decisions that reach medical students and clinicians worldwide, directly advancing our mission to enable all medical professionals to provide the best possible care. ROLE OVERVIEW As Data Platform Lead you will be the people manager of a small, senior team and the domain expert steering AMBOSS's end-to-end data platform strategy. That said, the role is broader than a classic data platform mandate. Beyond owning platform evolution and pipelines, you and your team also own the integration layer to our ERP and other core business systems. On top of that you build small services and internal tools that solve specific business and operations problems. One current example is our master data management service for medical institutions around the world, which powers B2B commercial work and product experience. This role is more dynamic and more business-forward than a pure engineering leadership position. Communication with stakeholders across Commercial, Product, Finance, Operations and Medical is constant. Engineering excellence still matters, but coordination, prioritization, fast judgement calls and a strong hands-on mentality matter at least as much. YOU WILL: * Set the course. Own and sequence the roadmap across the data platform, ERP and business systems integrations, plus the internal tools and services your team builds and runs. * Own the Single Source of Truth for the entire company so Analysts, Scientists and stakeholders across departments speak the same data language and use the same metrics. * Develop the team. Hire, mentor and grow 3 to 5 Data Engineers. Run clear goal-setting and feedback cycles. * Architect for scale. Design and review core components: batch and real-time pipelines, modeling layers, integrations, governance, observability and CI/CD so Analysts, Data Scientists and other Engineering teams can self-serve with confidence. * Build internal services and tools to unblock the business. Our master data management service for medical institutions is one example. Expect more of these as the business grows. * Partner with Commercial, Finance, Product, Operations and Medical. Translate ambiguous business needs into systems and data products that move the company forward. * Navigate ambiguity and stay hands-on. Create structure where there is none, sequence the work pragmatically and make the call when there is no obvious right answer. This is not a step-back-and-review-PRs role. You will be in the work alongside your team on the highest-leverage problems. * Raise the bar. Codify engineering standards for code quality, testing, reliability and incident response. Scale agentic coding and AI-assisted workflows so a small team can punch above its weight. * Stay tool-agnostic: evaluate, pilot and when needed retire technologies based on evidence rather than hype. YOU BRING: * 5+ years in data engineering or data platform roles, including 2+ years leading projects or people. * Deep SQL and strong Python. Production experience with Airflow, dbt or comparable frameworks. * Hands-on expertise with cloud warehouses (BigQuery, Snowflake) and at least one major cloud provider (AWS or GCP). * Proven CI/CD and IaC chops (GitHub Actions, Terraform or similar). * Solid grasp of data modelling, governance and observability patterns. * Experience integrating with or building against business systems such as ERP, Shop or even Bank integrations. You are comfortable owning that layer end to end. * A track record of working closely with Commercial, Finance, Operations or Analytics stakeholders and treating them as first-class partners. * A bias to action in ambiguous situations. You would rather make a reasonable call and adjust than wait for perfect information. * Hands-on fluency with agentic coding AI tools (like Claude Code) and a track record of using AI to accelerate engineering work. * Excellent English communication. German is a plus. * Bonus: exposure to AI/LLM workloads or vector databases on the production side. YOU ENJOY: * Operating in a fast-moving, ambiguous environment where the plane gets built while you are flying in it. You like being pragmatic and bringing in structure without slowing the business down. * Coordinating across many stakeholders. You move easily between an engineering deep-dive in the morning and a Commercial leadership conversation in the afternoon. * Staying hands-on as a leader. You are happy to write SQL, debug an integration or scope an internal tool yourself when that is what the situation calls for. * Translating between worlds. You take messy business problems and turn them into clear technical scope. You take technical trade-offs and turn them into concise narratives executives can act on. * Coaching and unblocking engineers and analysts through clear expectations and constructive feedback. * Seeing the platform-level picture: designing for security, self-service and future scale rather than one-off pipelines. BENEFITS: AMBOSSians tell us that innovative work keeps them energized and employee benefits help them to feel appreciated and empowered. We invest in every AMBOSSian with our employee benefits package, crafted to support financial, physical, and mental health, and work-life harmony. 🌴 Rest & Time Off (30 paid vacation days, AMBOSS holiday, personal purpose day and more) 🥙Food & Office Comfort (Daily healthy breakfast & lunch by in-house chef in Berlin HQ, AMBOSS daycare, work remotely from other office spaces in Cologne, Sardinia, Cape Town) 🏃 Health, Fitness & Mobility (Urban Sports Club -M plan- , Fitbit Versa 3, Deutschland Ticket…) Check out the full list of benefits below: https://go.amboss.com/the-amboss-prescription-de We believe that diversity is a powerful driver of innovation and progress. That’s why we are committed to fostering an inclusive, respectful, and supportive environment where everyone—regardless of gender, age, ethnic or cultural background, religion, disability, sexual orientation, gender identity—is valued and given equal opportunity to thrive. We warmly welcome people of all backgrounds to help us fulfil our mission: empowering all medical professionals to provide the best possible care 🩺 Even if you don’t meet every single point in the job description, we still encourage you to apply. We’d love to hear from you!

Upvest

At Upvest, we are on a mission to make investing as easy as spending money. Upvest empowers businesses to offer a wide range of investment products and the best experience in the field of capital market investment and retirement planning. Upvest’s Investment API is easy to integrate so that fintechs and financial institutions can save resources and fully focus on their core business. We are proud to partner with Europe’s leading Fintechs and financial institutions such as DKB, Revolut, N26 and Raisin. Founded in 2017 by Martin Kassing, Upvest now brings together over 270 talented professionals from more than 70 nationalities. Upvest is backed by €280M in total funding from world-class investors, including BlackRock, Tencent, Sapphire Ventures, and Bessemer Venture Partners, Earlybird, Notion Capital, and Motive. Our latest €105M funding round in March 2026 - led by Sapphire and Tencent - serves as a massive catalyst for our growth, allowing us to offer premier investment experience. ABOUT THE ROLE: Upvest's data platform powers near real-time financial analytics about operations across trading, payments, risk, and compliance. We're building the next generation of our data infrastructure - an Iceberg-backed Lakehouse and CDC-powered pipelines that give engineers, analysts, and business users a single, reliable place to work with data at scale. You'll own our Kafka consumer and CDC pipelines, help architect and deliver the Lakehouse foundation, and act as a trusted consultant for data integration, modelling, and schema design across the organization. If you care about reliability, scalability, and lowering the barrier to working with data - this is your role. We are open to hire remotely in Europe for this role.   WHAT YOU’LL DO: * Own and improve the Kafka consumer pipeline that captures, transforms, and warehouses event data * Design and build CDC-based pipelines to capture and replicate changes from source systems into the data platform * Design, build and maintain foundational data serving layers that scale and serve the use cases of engineering and analytics alike * Act as a data consultant across the organization - advising on data integration, modelling, and schema design for teams building on or contributing to the platform * Deliver self-service data solutions that enable engineers, analysts, and business users to work with the data platform independently * Drive data observability: set up tests, metrics, and alerting for pipeline health and data quality using observability tooling such as Datadog * Work closely with product engineering teams to ensure reliable, timely data availability * Champion data culture - share knowledge, establish best practices, and help teams understand and trust their data   WHAT YOU BRING: * Strong experience building and operating event-driven data pipelines, ideally with Kafka or similar streaming infrastructure * Experience with Python, Go or another systems-level language for building data infrastructure * Solid SQL skills for data transformation, modelling, and staging layer development * Familiarity with infrastructure-as-code tooling such as Terraform for managing cloud resources * Experience working with cloud providers such as GCP, AWS, or Azure (we run primarily on GCP) * Experience with schema design and data modelling principles - able to advise teams across the organization * Experience setting up data observability and monitoring (Datadog, Grafana, Prometheus, etc.) * A product and consulting mindset - able to understand the needs of engineers, analysts, and business users and translate them into platform solutions * Strong communication skills and ability to promote data literacy across the organization   IT’S GREAT IF YOU HAVE: * Experience with or strong interest in CDC tooling (Debezium, Fivetran, or similar) * Familiarity with open table formats such as Apache Iceberg, Delta Lake, or Hudi - or strong interest in growing into this space * Experience with building Agentic AI HOW WE UPVEST IN YOU: * Best-in-class AI tools: Every Upvenger has €20,000 per year to spend on the best AI tools available — so you're always working with the most powerful models and tooling on the market. * Impact-driven work: We’re building the infrastructure that will power the future of investing in Europe. It’s complex, ambitious, and meaningful. You’ll work with modern technologies and create something entirely new. No legacy systems, no limits. * Wellbeing: Recharge with 30 days of annual leave and maintain a healthy lifestyle with sports benefits. Access confidential professional coaching and enjoy the flexibility to work remotely abroad for up to 183 days a year. Recharge with UpRest, a one-month fully paid sabbatical after every 4 years of working at Upvest. * Development: Growth is in our DNA. Each Upvenger has access to a personal development budget and the freedom to decide how to use it. * Flexible work environment: Work from any of our hubs in Berlin, London or Tallinn hybrid or remotely across Europe, depending on the role. We give you the choice and budget to work where you’re most comfortable and productive, either at home or in the office. You choose. * Compensation and equity: We believe that all Upvengers contribute to our success and deserve a competitive, above-market salary and a participation in our employee equity program. * Team celebrations: Participate in company-wide events, such as UpFest, dinners, offsites and our Holiday party, to connect with colleagues and celebrate our achievements. * Inclusion: We’re committed to a culture where everyone belongs and thrives. Our Employee Resources Groups foster inclusion and connection, like Upfem for our female Upvengers, or UpVergent supporting neurodivergent Upvengers and allies. OUR VALUES: * Make it easy for others. We simplify the complex and act with the best intentions. * Own the outcome. We are proactive, fast and confident to get the job done, valuing progress over perfection. * Rise to the challenge. We aim high and push the boundaries. We stay curious, learn and celebrate our wins together. * Tell the story. We start with the Why to align on purpose. We are transparent and share knowledge to empower and inspire others. Upvest is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.