Trade Republic

ML Platform Engineer

Stellenbeschreibung:

  • 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
  • Trade Republic is known for shipping fast and strong, and at the core of this is the Data Platform: making every employee and every system self-serve with data. As part of Data Systems, you’ll build the analytics platform people across the company rely on every day. The aim is minimum cognitive load and maximum business value for hundreds of data consumers
  • Build the data platform: 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
  • Engineer for resilience at scale: 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
  • Own the data platform: 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

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 curiosityClear, concise English communication3+ years building backend or platform servicesDemonstrated ability to turn best practices into opinionated “paved roads” that make doing the right thing effortlessA solid understanding of how data platforms work (query engines, orchestration, lakehouse storage). You build on top of the infrastructure rather than run itNice to have: React and frontend experience

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Stelleninformationen

  • Veröffentlichungsdatum:

    01 Nov 2026
  • Standort:

    Berlin

    Einsatzort:

    Berlin
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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