Data Engineer

📋 Description

• Designing, building, and operating reliable data pipelines using modern ETL/ELT approaches
• Engineering cloud-native data platforms, primarily on AWS (with Azure exposure where required)
• Working with technologies such as Databricks, PostgreSQL, Aurora, and distributed processing
• Ensuring solutions are production-ready: secure, tested, observable, and cost-efficient
• Optimising data performance, reliability, and data quality in live environments
• Collaborating with analysts, data scientists, AI engineers, and platform teams

🎯 Requirements

• 6-8 years’ experience in hands-on data engineering roles
• Strong Databricks experience (Data Engineering, Delta Lake, Medallion Architecture)
• Design, build and support scalable data pipelines from enterprise source systems
• Build and maintain data models, mapping tables and curated data products within the ISP data
• Implement Master Data Management (MDM), data quality controls, monitoring and remediation workflows
• Develop automated data quality and completeness reporting, including AI-assisted reporting

🎁 Benefits

• Flexible/remote working
• Pension, Private Healthcare Cover, Life Assurance
• Educational assistance with AWS, Microsoft, Oracle, and Red Hat certifications
• Annual Excellence Awards and recognition programs
• Wellbeing initiatives and life balance policies
• Church/Corporate social responsibility initiatives and inclusion programs