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
