Data Engineer

• Develop and maintain batch and incremental ETL/ELT pipelines
• Build and manage data ingestion processes from APIs and relational databases
• Implement and optimise transformation logic within Data Warehouse environments
• Support data quality validation, monitoring, reliability, and auditability initiatives
• Contribute to containerised and automated workflows within Docker-based environments
• Collaborate with technical teams and business stakeholders to understand data structures and business requirements
• Support schema evolution, deployment workflows, and platform scalability
• Document pipelines, workflows, and technical decisions to ensure maintainability and best practices
• Participate in improving data engineering standards, tooling, and operational processes
• Assist in troubleshooting data pipeline issues and performance bottlenecks

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Data Engineer – ETL, Data Platform Operations