Data Quality Engineer AWS | dbt | Airflow | SQL | Python | Fully Remote | Outside IR35

Project overview

Data Quality Engineer

AWS | dbt | Airflow | SQL | Python | Fully Remote | Outside IR35

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

What You'll Be Doing

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.

By applying to this job you are sending us your CV, which may contain personal information. Please refer to our Privacy Notice to understand how we process this information. In short, in order to supply you with work finding services, we will hold and process your personal data, and only with your express permission we will share this personal data with a client (or a third party working on behalf of the client) by email or by upload to the Client/third parties vendor management system.

By giving us permission to send your CV to a client, this constitutes permission to share the personal data that would be necessary to consider your application, interview you (Phone/video/face to face) and if successful hire you.

Scope AT acts as an employment agency for Permanent Recruitment and an employment business for the supply of temporary workers. By applying for this job you accept the Terms and Conditions, Data Protection Policy, Privacy Notice and Disclaimers which can be found at our website.

• 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
• 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

Project details

• Start: ASAP
• Duration: 6 months +
• Location: Fully Remote, UK, GB