Data Engineering Manager
Germany
Full Time
3 weeks ago
No Sponsorship
Key skills
AirflowAWSDockerKafkaKubernetesPythonSparkSQLAIMLGenAILLMMLflowSnowflakedbtSageMakerBedrockMentoring
About this role
Role Overview
- Manage and support a team of 2 to 3 senior Data Engineers, providing regular feedback, coaching, and career development.
- Drive the reliability, scalability, and evolution of our core data infrastructure (Spark, Kafka, transformation layers).
- Lead initiatives to improve performance and optimize costs (FinOps mindset).
- Define and support the infrastructure strategy for AI and ML use cases.
- Guide architectural decisions and ensure pragmatic, maintainable solutions.
Requirements
- Strong experience with Python and SQL
- Solid experience with distributed data processing (Spark, Kafka)
- Experience with workflow orchestration (Airflow)
- Familiarity with AWS, Docker, Kubernetes
- Experience working with modern data stacks (e.g., Snowflake, dbt)
- Previous experience managing or mentoring engineers
- Ability to drive technical decisions and prioritize effectively
- Experience with ML pipelines and tools (MLflow, SageMaker) (plus)
- Exposure to LLM/GenAI infrastructure (e.g., Vector DBs, Bedrock) (plus)
Tech Stack
- Airflow
- AWS
- Docker
- Kafka
- Kubernetes
- Python
- Spark
- SQL
Benefits
- Purpose-driven work at scale
- High-impact scope & ownership
- A truly international environment
- Career acceleration in a fast-moving scale-up
- Learning & growth as a priority
- Flexible ways of working
- Give back through action
- Competitive compensation & benefits