Senior Data Engineer: Java/SQL ETL & Cloud Migration

AMARIS GROUP SA

Eindhoven

Hybrid

EUR 90,000 - 120,000

Full time

14 days+

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Job summary

Amaris Consulting is seeking a Senior Data Engineer with 5+ years hands-on experience to support migration of ETL processes to a cloud-ready environment in the Netherlands. You will analyze architectures, review documentation and code, and own the implementation end-to-end.

You will work independently and with cross-functional teams to ensure reliable data movement, integration, and scalable solutions. Proficiency in Java, SQL, ETL, REST APIs, and AWS S3 is required; Spark and Azure Data Lake

Qualifications

  • Advanced Java development experience (mandatory)
  • Advanced SQL skills (critical)
  • Strong understanding of ETL processes and data integration
  • Experience with data engineering and data migration projects
  • Experience with REST/API-based integrations
  • Knowledge of AWS S3 or similar cloud storage services
  • Experience with PostgreSQL or other relational databases
  • Ability to read, understand, and modify existing codebases independently

Responsibilities

  • Analyze existing ETL processes and platform architecture.
  • Migrate and adapt ETL pipelines to the target cloud environment.
  • Understand, maintain, and modify existing Java-based ETL code.
  • Collaborate with both the source platform team and receiving business unit team.
  • Contribute to architecture and integration decisions.
  • Ensure successful data movement and integration between platforms.

Skills

Advanced Java development
Advanced SQL
ETL processes and data integration
Data migration projects
REST/API-based integrations
AWS S3 or similar cloud storage
PostgreSQL or other relational DBs
Independent codebase modification

Tools

Apache Spark
Azure Data Lake

Job description

Amaris Consulting is seeking a Senior Data Engineer with 5+ years hands-on experience to support migration of ETL processes to a cloud-ready environment in the Netherlands. You will analyze architectures, review documentation and code, and own the implementation end-to-end.

You will work independently and with cross-functional teams to ensure reliable data movement, integration, and scalable solutions. Proficiency in Java, SQL, ETL, REST APIs, and AWS S3 is required; Spark and Azure Data Lake

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