onsite
Product Data Engineer Analytics - REWE Group
Data Engineer
Lead the design and implementation of scalable data pipelines to support product analytics, leveraging Python, SQL, and AWS services to deliver actionable insights for business stakeholders.
About the role
Key Responsibilities
- Design, develop, and maintain robust ETL pipelines that ingest, transform, and store product data across multiple sources.
- Collaborate with data scientists and product managers to define data models and metrics that drive business decisions.
- Optimize data workflows for performance and cost-efficiency on AWS infrastructure (S3, Redshift, Glue).
- Implement data quality checks, monitoring, and alerting to ensure reliability and accuracy of analytics datasets.
- Document data architecture, pipeline logic, and best practices for internal teams.
Requirements
- Proven experience in Python and SQL for data engineering tasks.
- Hands‑on knowledge of AWS data services (S3, Redshift, Glue, Athena).
- Strong understanding of ETL concepts, data modeling, and performance tuning.
- Experience with machine learning pipelines or data science collaboration is a plus.
- Excellent problem‑solving skills and a proactive, collaborative mindset.
Skills
pythonsqlawsmachine learning