Data Engineer (Azure/ETL/Data Platform) - Hybrid
Clearance: NPPV3 preferred
We have a requirement for a Data Engineer to join a growing data function, supporting the design, build and optimisation of a modern data platform.
You will be responsible for developing scalable data pipelines, ETL processes, and data integration solutions, enabling high-quality data to drive analytics, reporting, and business insight.
This is a hands-on role working closely with data analysts, BI developers, and stakeholders to deliver reliable, efficient, and secure data solutions.
Key Responsibilities
Data Engineering & Pipeline Development
* Design, build, and maintain scalable ETL pipelines
* Develop robust processes to extract, transform, and load data from multiple sources
* Optimise data pipelines for performance, reliability, and scalability
* Write and maintain ETL scripts to support data integration and analytics
Data Integration & Management
* Combine and structure datasets to enable insight generation and analytics
* Clean, transform, and store data to maximise usability and value
* Automate manual data processes to enable repeatability and efficiency
Collaboration & Stakeholder Engagement
1. Work with stakeholders to understand data requirements and translate into...