Data Engineer

Organisation | Public Sector / Digital Transformation

A leading organisation undergoing a significant digital transformation programme is seeking an experienced Data Engineer to join a high-performing technical team.

This is an exciting opportunity to play a key role in designing, building, and maintaining modern cloud-based data solutions that support data-driven decision-making across the organisation. Working within an Agile environment, you'll help develop scalable data platforms, optimise data pipelines, and contribute to the delivery of robust, secure, and high-quality data products.

Responsibilities

• Design, develop and maintain scalable cloud-based data solutions
• Build and optimise ETL and ELT pipelines
• Support the migration of existing data services into cloud environments
• Develop and maintain data products that support reporting and analytics
• Implement CI/CD processes and engineering best practices
• Monitor, troubleshoot and improve data platform performance
• Work closely with technical and business stakeholders to gather requirements and deliver effective solutions
• Ensure data quality, governance, and security standards are maintained
• Contribute to data architecture, documentation, and continuous improvement initiatives
• Collaborate within multidisciplinary Agile delivery teams

What They're Looking For:

• Strong experience with Python and SQL
• Experience building and maintaining enterprise data pipelines
• Experience working with cloud technologies, ideally Google Cloud Platform
• Knowledge of relational databases and data warehousing
• Experience with version control tools such as Git
• Understanding of data modelling principles
• Experience working with large-scale datasets
• Knowledge of workflow orchestration tools
• Strong stakeholder engagement and communication skills
• Experience working within Agile delivery environments

Desirable Experience:

• Google Cloud certifications
• Experience with Docker or containerisation technologies
• Exposure to BigQuery, Spark, Dataproc, or similar technologies
• Knowledge of DataOps and DevOps practices
• Understanding of UK GDPR and data governance principles