Role Summary

We are seeking a Data Engineer to design, build, and operate data pipelines and warehouses powering enterprise analytics and reporting. The role covers ingestion, transformation, modelling, and operationalisation across cloud and on-prem data sources.

Key Responsibilities

• Design and implement batch + streaming data pipelines (ETL/ELT).
• Build and maintain dimensional/data-warehouse models (Star/Snowflake schema, slowly-changing dimensions).
• Develop in SQL, Python, and at least one orchestrator (Airflow, Azure Data Factory, AWS Glue).
• Operate data quality checks, lineage, and observability (Great Expectations, Monte Carlo, or similar).
• Optimise warehouse performance (Snowflake, Synapse, BigQuery, Redshift).
• Partner with BI/analytics teams on semantic models and self-service consumption.
• Document pipelines, schemas, and runbooks.

Required Qualifications