ML Platform Engineer

Trade Republic; Berlin; In loco; EUR 80.000 - 120.000; Tempo pieno

Descrizione del lavoro

Trade Republic Bank GmbH in Berlin is building a modern data platform. You will join the Data Systems team to craft analytics infrastructure that hundreds of data consumers rely on daily, with a focus on reliability, performance and measurable business value.

You will own the platform end-to-end, collaborate with product managers to balance cost and latency, and leverage Python, Spark, Airflow, Kubernetes and cloud tools to ship safe, observable changes at scale.

Competenze

• 3+ years building backend or platform services.
• Experience with data platforms (query engines, orchestration, lakehouse storage).
• Design simple interfaces that hide data platform complexity for users.

Mansioni

• Build and evolve the data platform including query experience, dashboards, and integrations.
• Engineer for resilience at scale with observable, safe deployments and SLOs.
• Own the data platform roadmap in collaboration with product managers and stakeholders.

Conoscenze

Backend development

Platform services

Clear English communication

Strumenti

Python

Spark

Kyuubi

Iceberg

Airflow

dbt

n8n

Kubernetes

AWS

Grafana

Descrizione del lavoro

• 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