We're looking for a Senior Data Engineer to help build a cutting-edge data mesh platform that empowers teams with scalable, reliable, and high-quality data. As a Senior Data Engineer, you'll shape the future of how data drives business decisions and AI innovation.
Requirements
- Build, maintain, and optimize end-to-end data pipelines using dbt, Python, PySpark, Polars, and SQL.
- Operate and enhance our AWS data infrastructure, including Glue, Athena, S3, and supporting tools.
- Design and evolve Apache Iceberg tables, managing schema evolution, partitioning, compaction, and efficient storage.
- Drive data quality, observability, lineage, and monitoring across the entire data platform.
- Translate business and analytical needs into scalable, maintainable, and high-performing data solutions.
- Collaborate with data scientists, analysts, engineers, and product teams to deliver clean, trusted datasets and APIs.
- Contribute to the ongoing evolution of our data mesh, developing new patterns, enhancements, and architecture improvements.
- Build AI/ML-ready data environments and datasets that enable intelligent products and predictive insights.
- Document systems, design decisions, and processes to ensure clarity, consistency, and smooth onboarding.
Benefits
- Autonomy and Flexibility (work in any way)
- Generous leave
- Make a difference
- Corporate bonus/SIP
- International environment
- Human centered culture
- Learning