Job Summary

• Build and maintain systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes.
• Design and implement data warehouses and data lakes that manage appropriate data volumes and velocity and adhere to required security measures.
• Collaborate with data scientists to build and deploy machine learning models, ensuring data accuracy, accessibility, and security.

Matching Summary

Skills & Requirements

Key Requirements

• Experience in ETL deployment, change management, or production support
• Hands-on experience with ETL tools (Ab Initio or similar)
• Strong understanding of ETL concepts
• Experience managing code promotion using GitLab
• Proficiency in UNIX/Linux, shell scripting, and SQL
• Familiarity with CI/CD tools
• Good understanding of release governance and incident management

Work Rights