Data Engineer

📋 Description

• Build, test and maintain batch and streaming pipelines into QiCore to agreed engineering standards
• Migrate Rewards data into our warehouse and single customer view, keeping reporting running
• Model data for analytics and reporting, working to the architecture and governance principles the
• Monitor pipeline health and data quality, fixing issues at the root rather than patching symptoms
• Support future acquisitions and platform migrations, turning each one into a faster, repeatable

🎯 Requirements

• Several years of hands-on data engineering, writing production SQL and Python
• Experience building ETL or ELT pipelines on a modern cloud warehouse or big data platform
• Working knowledge of data governance, testing and data quality practices
• Comfortable with orchestration and version control, and with reviewing and being reviewed
• High standards for quality, with a can-do attitude when priorities shift
• You thrive when working as part of a team

🎁 Benefits

• Private Health Care (Bupa)
• Hybrid Working (3 days in office)
• Travel Insurance
• Competitive Base Salary
• Company Bonus Scheme
• Paid for AI Subscription (Claude / ChatGPT / Gemini)