Reach IT
Senior Data Engineer | AWS
Skills
15 days ago
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Important information
Contract type:
Permanent
Location:
7300 Portalegre, Portugal
Work mode:
Remote
Published on:
8 October 2026
What they need
🔵 Reach IT - Nearshore Solution!
Our nearshore expertise sets us apart. We specialize in connecting experienced technology professionals with complex international engineering environments, supporting organizations in building scalable, reliable, and high-performance data platforms.
We are looking for a Senior Data Engineer | AWS 🚀
To join a Data Engineering environment focused on AWS-based Lakehouse architectures , supporting data ingestion, transformation, and processing at scale. The role combines Apache Iceberg table management, pipeline orchestration, performance optimization, and scalable ELT practices , working closely with domain teams to improve the reliability and efficiency of data workflows.
📍 Work model: Fully remote
Skills
🎯 Data Engineering , particularly within AWS cloud environments ;
🎯 Lakehouse architectures and Apache Iceberg table operations ;
🎯 Data ingestion, transformation, and ELT pipelines ;
🎯 Pipeline orchestration and data processing workflows;
🎯 Performance tuning , including table optimization, compaction, and data retention processes;
🎯 Familiarity with Release Management, SDLC processes, and technical deliverables ;
🎯 Ability to troubleshoot data pipelines and support scalable data engineering practices.
Responsibilities
✅ Support and maintain data ingestion and transformation frameworks , ensuring reliable data processing workflows;
✅ Optimize Apache Iceberg tables , focusing on performance, efficiency, and data organization;
✅ Manage table compaction and data retention processes within the Lakehouse environment;
✅ Investigate and resolve data pipeline issues , supporting the stability and performance of data workflows;
✅ Collaborate with domain teams to implement scalable ELT and pipeline orchestration patterns ;
✅ Contribute to performance tuning, release management, and SDLC deliverables , supporting consistent data engineering practices.
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