Senior Java Engineer: Data Platform & ETL

inventYOU IT Consulting; Stockholms kommun; On-site; SEK 900,000 - 1,200,000; Full time

Benefits offered by this job

Real technical ownership

Architectural responsibilities

Collaborative engineering team

Full-time engagement with clear scope

Job summary

inventYOU IT Consulting is seeking a Senior Java Developer to design, develop, and implement support for new database technologies within an existing internal test data management platform. The platform currently supports Oracle, Microsoft SQL Server, IBM DB2, IBM DB2 on AS/400, and SAS.

You will design and implement data extraction, transformation, masking, and loading across environments while contributing to architecture and technical documentation.

Qualifications

• Strong hands-on experience with Java or equivalent backend development.
• Solid experience with JDBC and database connectivity.
• Experience with relational databases: Oracle, Microsoft SQL Server.
• Experience with NoSQL architectures, specifically MongoDB.
• Experience with PostgreSQL.
• Experience with data migration and ETL solutions.
• Strong understanding of metadata handling and data extraction/loading processes.
• Ability to produce clear technical documentation.
• Strong communication skills for knowledge transfer to internal teams.
• Fluent English.

Responsibilities

• Design and develop support for new database technologies.
• Implement changes to the internal test data management platform.
• Collaborate with the engineering team to ensure reliable data flows.

Skills

Java

JDBC

Relational databases

MongoDB

PostgreSQL

ETL

Metadata handling

Documentation

Communication

English

Tools

Informatica TDM

Delphix

Job description

inventYOU IT Consulting is seeking a Senior Java Developer to design, develop, and implement support for new database technologies within an existing internal test data management platform. The platform currently supports Oracle, Microsoft SQL Server, IBM DB2, IBM DB2 on AS/400, and SAS.

You will design and implement data extraction, transformation, masking, and loading across environments while contributing to architecture and technical documentation.