Job Description

We're looking for a Senior Data Engineer to join a high-performing Data Engineering team at a fast-growing tech scale-up. You'll help build and scale the pipelines and platforms that power data science, analytics, and product teams, working on systems that process millions of events daily.

What you'll do

  • Design, build, and optimize batch and streaming pipelines with tools like Airflow, dbt, Redshift, Athena, Kafka, and Spark
  • Architect and operate data ingestion services (Java/Kotlin microservices on AWS EKS) handling large-scale user tracking data
  • Automate and enhance workflows with Terraform, Docker, Kubernetes, Jenkins
  • Partner with Data Science & Analytics to enable new insights and product features
  • Continuously evaluate new data technologies, LLM/AI tools, and improve cost-efficiency, reliability, and velocity

    • What you bring

  • Strong background in Python, SQL, and distributed data systems
  • Proven experience in AWS-based lakehouse architectures
  • Knowledge of DataOps practices (CI/CD for data pipelines, infra as code, observability)
  • Familiarity with containerization & orchestration (Docker, Kubernetes/EKS)
  • Experience with data governance is a plus
  • Excellent communication skills and ability to work cross-functionally

    • Why join

  • Impact: Work on data systems that directly influence product, analytics, and business growth
  • Growth: High ownership, regular feedback, and budget for learning & conferences
  • Flexibility: Hybrid setup with opportunities for international collaboration and office exchange
  • Perks: 28+ vacation days, gym membership, and travel discounts

    • Senior Data Engineer (m/f/d)

    Munich, Germany | Hybrid

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