Senior Data Engineer (Modern Data Platform & AI) (all genders) | Berlin, hybrid or remote
Tasks
- Architect scalable data lakehouse or warehouse
- Build ETL/ELT pipelines
- Collaborate on AI ML feature engineering
- Collaborate with stakeholders to deliver data solutions
- Design data models and transformations
- Establish data governance frameworks
- Implement end to end testing for data pipelines
- Implement real-time data integration
- Maintain data lineage and metadata management
- Mentor team on data engineering best practices
- Operationalize machine learning models
- Optimize streaming pipelines
- Support model serving integration
Perks/Benefits
- Discounted BVG ticket
- Hybrid work
- Jobrad
- Mental health support
- Remote work option
- Tech talks
- Training budget
- Urban Sports Club Membership Discount
Skills/Tech-stack
AWS | Airflow | Amazon Athena | Amazon S3 | Apache Spark | CI/CD | Cloud Native | Cloud Native Architecture | Collibra | DBT | DBT Cloud | Data Glossary | Data Governance | Data Lakehouse | Data Lineage | Data Modeling | Data Quality | Data Transformation | Data Vault | Data Warehouse | Debezium | Delta Live Tables | Delta Live) | Dimensional Modeling | ELT | ETL | Feature Engineering | Feature Store | Flink | Git | Kafka | MLOps | MLflow | MSK | Machine Learning | Metadata Management | Model Serving | Python | SQL | SSOT | SSOT Data Glossary | Schema on read | Spark Structured Streaming | Structured Streaming | Terraform | Unity Catalog
Education
Roles
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