Trade Republic

Data platform engineer in fintech

In short

Senior data platform engineer role at Trade Republic, a large European savings/fintech platform, building and evolving data systems (query experience, dashboarding, Airflow orchestration, n8n integrations) used by hundreds of internal consumers. Requires 3+ years building backend or platform services and solid understanding of data platform internals (query engines, orchestration, lakehouse storage) with a toolbox including Python, Spark, Kyuubi, Iceberg, Airflow, dbt, Kubernetes, AWS and Grafana. Onsite role based in Berlin, full-time, with relocation support offered only for candidates already within the EU.

About Trade Republic
Trade Republic is the largest savings platform in Europe - we operate in 18 countries, serving +10 million customers who trusted us with over 150B in assets. But we're striving for more. We have a bold mission to empower everyone to build wealth with easy, safe, and free access to financial systems. You will have the opportunity to grow your career by collaborating with a team of outstanding talents and state-of-the-art technology to build a lasting, positive future for millions.
Responsibilities
•Build and evolve the data systems data users love. That includes our query experience, conversational analytics, dashboarding, integrations with tools like n8n, and the Airflow orchestration layer.
•Design simple interfaces that hide the complexity of the data platform underneath. Critical systems and hundreds of consumers depend on the analytical plane, so every change you ship is tested, rolled out safely and observable.
•Define and monitor SLOs and error budgets for customer-facing services.
•Lead blameless post-incident reviews and automate safety guardrails.
•Shape the roadmap end-to-end. Work with product managers to understand user needs, balance cost, latency and user experience, pick the right tech, and clearly explain trade-offs to leadership.
Requirements
•3+ years building backend or platform services.
•A solid understanding of how data platforms work (query engines, orchestration, lakehouse storage). You build on top of the infrastructure rather than run it.
•Demonstrated ability to turn best practices into opinionated "paved roads" that make doing the right thing effortless.
•Clear, concise English communication.
•The toolbox we use (and you probably know): Python, Spark, Kyuubi, Iceberg, Airflow, dbt, n8n, Kubernetes, AWS, Grafana. Experience with every single item is not required—bring your strengths and curiosity.
Nice to have
•React and frontend experience.
Conditions
Please note that this position is based in Berlin — relocation support is provided if required (only if already within the EU).

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