Data Quality Engineer
We're looking for a hands-on SC Cleared Data Quality Engineer to help build and embed automated Data Quality controls across a modern AWS-based data platform.
Working closely with Data Engineers, Architects and Data Governance teams, you'll translate agreed Data Quality rules into scalable, reusable technical solutions, ensuring trusted, high-quality data is available across the business.
Key Skills
- Strong Data Quality and Data Engineering experience
- dbt, SQL and Python
- Apache Airflow
- AWS (S3, Athena or similar)
- ETL/ELT pipelines and data integration
- Data validation, reconciliation and monitoring
- Metadata, data governance and data management concepts
What You'll Be Doing
- Implement automated Data Quality controls across data pipelines and products
- Build reusable validation and monitoring frameworks
- Develop and maintain Airflow workflows and dbt tests
- Capture and report on Data Quality metrics and exceptions
- Collaborate with engineering, architecture and governance teams to improve data quality across the platform
A fantastic opportunity to help shape a strategic AWS data platform, building Data Quality capabilities from the ground up in a fully remote, outside IR35 engagement.