Senior Data Engineer
Summary
Senior Data Engineer at Heineken building scalable batch/streaming pipelines, data products, and tooling using dbt and Databricks Lakeflow to support AI/vector store initiatives.
- Build scalable batch streaming and event driven pipelines
- Build tooling frameworks and APIs for data access control
- Collaborate with regional data engineering teams
- Contribute to data engineering architecture and capability roadmap
- Define orchestration frameworks and workflows
- Deliver curated datasets and knowledge layers for AI products
- Design data models and semantic layers
- Develop and deploy data pipelines using dbt and Databricks Lakeflow
- Establish data quality monitoring and anomaly detection
- Implement observability stacks
- Implement storage strategies
- Lead enterprise data product design and delivery
- Manage developer platform and self service interfaces
- Manage metadata lineage and governance compliance
- Mentor data engineering squads and run design reviews
- Process and enrich structured graph and unstructured data
- Support vector stores embedding generation and context retrieval
Perks/Benefits:
- Hybrid work