Senior Data Engineer

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