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 systemsProven experience in AWS-based lakehouse architecturesKnowledge 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 plusExcellent communication skills and ability to work cross-functionallyWhy join
Impact : Work on data systems that directly influence product, analytics, and business growthGrowth : High ownership, regular feedback, and budget for learning & conferencesFlexibility : Hybrid setup with opportunities for international collaboration and office exchangePerks : 28+ vacation days, gym membership, and travel discountsSenior Data Engineer (m / f / d)
Munich, Germany | Hybrid