Data Platform Engineer (d/f/m)

Who we’re looking for

We’re looking for a Data Platform Engineer (d/f/m) who enjoys working with data and building cloud platform services, integrations, and developer tooling to join the mobile.de Data Platform team.

As the company’s data platform team, we have a big lever: we help shape how the whole organization works with data. You’ll contribute to building a platform that empowers data engineers and domain teams with paved paths, self‑service capabilities, and smart guardrails— and you’ll help us put data mesh practices into action in a pragmatic way.

The role also spans the operational side: from IaC and CI/CD to observability, reliability, and cost‑aware operations. In short, you’ll turn platform ideas into services people can trust in production.

As a team, we believe our best work happens when we share context early, write decisions down, communicate clearly, and challenge ideas respectfully. We’re building a team where reliability is shared, learning and curiosity are encouraged, and different perspectives and working styles are welcome—so everyone can do their best work (and enjoy the ride while we’re at it).

What you’ll do

• Design, build, and evolve a resilient, future‑proof cloud data platform that enables internal teams to produce and consume high‑quality data products.
• Collaborate with Product, Data Science, and Analytics to understand needs and deliver platform capabilities that make their work easier.
• Drive operational excellence by integrating monitoring, alerting, FinOps, and observability best practices into all platform components to ensure reliable and efficient operations.
• Help us move faster on AI readiness by enabling platform integrations for AI use cases and supporting LLM‑ready data (quality, governance, privacy, evolution).
• Shape the future of our data platform by contributing to architecture discussions and code reviews, and influencing key technical decisions.
• Raise our standards by standardizing services and tooling, and producing clear documentation and communication that help teams produce and consume data products through consistent self‑service paths.

Who you are

• You have experience building scalable, reliable data solutions and bring a platform mindset—you enjoy building services, integrations, and developer tools for internal customers.
• You have solid programming skills in a JVM language or Python, and you’re comfortable with SQL.
• You know cloud fundamentals and have hands‑on experience (we work with GCP, e.g., BigQuery, Dataproc, Cloud Run, IAM).
• You have hands‑on experience with infrastructure and operations practices and tooling—for example, IaC (Terraform), CI/CD (GitHub Actions)—and operating services reliably in production.
• You bring a strong data quality & governance mindset (schema evolution, data quality checks, data contracts, metadata, access control) to make data trustworthy by default.
• You bring AI literacy and curiosity, ideally with exposure to app development and LLM integration patterns (e.g., RAG, vector stores, MCP) and preparing LLM‑ready datasets.
• Nice to have: experience building internal developer tooling (e.g., portals, CLIs/SDKs, or UIs) with a focus on making platform capabilities easy to discover and use.

Interview accommodations: If you need any reasonable accommodations during the interview process, please let us know—we’ll do our best to make it work.

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