Data Engineer (all genders)

Eraneos·Hamburg, München, Düsseldorf, remoteRemotemid

In short

→Ingeniero de datos que construye arquitecturas de datos a escala en la nube (AWS/Azure/GCP)
→Desarrolla pipelines ETL/ELT en Python, orquestados con Airflow/Dagster, y APIs con FastAPI/Flask
→Destacado: trabajo directo con clientes de DAX y Fortune Global 500 en proyectos estratégicos con impacto real

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What they ask for

✓Experiencia práctica con un hyperscaler (AWS, Azure o GCP)
✓Desarrollo en Python con código bien probado e idiomático
✓Conocimiento en orquestación de flujos (Airflow, Dagster o Prefect)
✓Experiencia con procesamiento a gran escala (Spark, Snowflake, dbt, etc.)
✓Habilidad en contenedores y orquestación (Docker, Kubernetes)
✓Nivel C1 de alemán y inglés conversacional

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

AWSAzureGCPPythonApache AirflowDagsterPrefectApache SparkSnowflakedbt

Who should you write to at Eraneos?

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What you can expect from us We’re a high‑energy cloud- and data engineering team looking for like-minded, motivated tech builders. We are driven by ownership and business outcomes. As the analytics unit within a global management consultancy, we turn data-driven strategies into production systems. Our clients are DAX and Fortune Global 500 leaders who trust us for our expertise across data platforms, big data and cloud engineering. You’ll join an international environment with agile squads and a boutique spirit with room to experiment and grow, paired with above‑market compensation and an attractive benefits package. What you’ll do as part of our cloud- and data engineering team: Take ownership for projects end to end: From scoping to stakeholder alignment and the delivery of measurable outcomes Design data architectures for batch and streaming workloads, both at small and big data scales Provision and manage the underlying cloud infrastructure to support those architectures on providers such as AWS, Azure or GCP Building Python ETL/ELT pipelines, orchestrated with Airflow, Dagster , or Prefect. Who you are A passionate data engineer who loves being at the forefront of modern, AI-driven technology, but also cares about the engineering craftmanship. Relevant hands-on experience with a cloud hyperscaler (preferably AWS, Azure or GCP). Preferably experience building production-grade software. Python development with idiomatic and well-tested code. , through indexing, sharding or partitioning). , Apache Airflow, Dagster or Prefect). , Apache Spark, Snowflake, dbt or similar technologies). , Docker, Kubernetes or similar technologies). Excellent German language skills (C1) and conversational English skills Customer-centric, results-driven, and willing to occasionally travel to clients. Who we are Shape the future with AI by working on diverse and impactful projects at the intersection of strategy, technology, and business. Work flexibly in a way that suits your life – with hybrid working models, flexible working hours, and the option to work from home. Enjoy an open, collaborative culture with flat hierarchies, an international team, and colleagues who are always willing to share their knowledge and support one another. A Great Place to Grow: Benefit from tailored learning opportunities, individualized career paths, and dedicated support for your professional and personal development. Be part of a strong international network of more than 1,300 colleagues and enjoy regular cross-office and international company events. Maintain a healthy work-life balance with flexible working models and, where appropriate, the opportunity to take a sabbatical. Take advantage of our Company Bike program and a subsidized EGYM Wellpass membership to support your health and wellbeing. Work from modern, centrally located offices in Hamburg, Munich, and Düsseldorf, as well as flexible hub locations across Germany's major cities. Enjoy complimentary drinks, fresh fruit, snacks, premium coffee – and, if you like, an after-work beer with your colleagues.

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