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.