Senior Data Engineer | AWS

Reach IT; Portugal; Remote; EUR 70,000 - 90,000; Full time

Job summary

Reach IT is seeking a Senior Data Engineer with AWS expertise to join a Data Engineering environment focused on Lakehouse architectures. You will work on data ingestion, transformation, and ELT pipelines at scale, optimizing Iceberg tables and implementing orchestration patterns while collaborating with domain teams.

The role emphasizes performance tuning, data retention, and SDLC deliverables to ensure reliable, scalable data workflows in a fully remote setup.

Qualifications

• Proven expertise in building data pipelines and data Lakehouse architectures.
• Hands-on experience with AWS data services and Iceberg tables.
• Strong focus on performance tuning and data retention strategies.

Responsibilities

• Support and maintain data ingestion and transformation frameworks, ensuring reliable data processing workflows.
• Optimize Apache Iceberg tables for performance, efficiency, and data organization.
• Manage table compaction and data retention processes within the Lakehouse environment.
• Investigate and resolve data pipeline issues, supporting 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.

Skills

Data Engineering

AWS cloud environments

Lakehouse architectures

Apache Iceberg table operations

Data ingestion

Transformation

ELT pipelines

Pipeline orchestration

Performance tuning

Release Management

SDLC processes

Data pipelines troubleshooting

Job description

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.