
Senior Data Engineer, AWS Lakehouse
DOOR3
contract
Posted on:
Location Type: Remote
Location: Netherlands
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Job Level
About the role
- Build and maintain a medallion architecture (landing/integrated/reporting) on S3 using Apache Iceberg
- Develop and operate data pipelines using dbt-core running against Athena
- Implement ingestion patterns using AWS AppFlow, DMS, and custom Lambda functions
- Design incremental load and merge logic for CDC data streams
- Optimize query performance for BI consumption (partitioning, aggregation, file compaction)
- Build orchestration workflows using Step Functions
- Establish data quality testing, monitoring, and alerting
- Support PowerBI integration and troubleshoot refresh issues
- Document data models and maintain lineage
Requirements
- 5+ years working with cloud data platforms (AWS strongly preferred)
- Production experience with dbt (dbt-core or dbt Cloud)
- Strong SQL skills including window functions, CTEs, and incremental/merge patterns
- Hands-on experience with at least one modern table format (Iceberg, Delta, or Hudi)
- Familiarity with Athena, Glue, or similar serverless query engines
- Experience with CDC pipelines and handling SaaS data sources
- Working knowledge of Python for custom ingestion and tooling
- Understanding of BI tool requirements and how to optimize serving layers for reporting
- Upper-Intermediate/B2 English across all four skills
Benefits
- Opportunity to work remotely
- Overlap with EST working hours
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
medallion architecturedata pipelinesdbt-coreAWS AppFlowDMSLambda functionsSQLPythonCDC data streamsquery performance optimization
Soft skills
communicationdocumentationproblem-solvingmonitoringalerting