Data Engineer

Data Engineer - Birchwood (Hybrid) - £60,000

The Role

If you enjoy building scalable data platforms and solving complex problems across modern cloud environments, this Data Engineer role offers the chance to make a real impact. You'll join a growing Data Engineering function, working on a platform built on AWS, helping design and deliver robust data pipelines, real‑time integrations, and data solutions that directly support business insight and decision-making. This is a hands‑on role where you'll be trusted to take ownership and continuously improve how data systems are built and operated.

This is a chance to be part of a wider data and digital transformation, helping evolve an existing data estate into a modern, scalable platform. You'll work on cloud migration, improve data quality, and contribute to building a future‑ready data architecture that can support high‑volume, high‑impact use cases.

• Designing, building, and maintaining data pipelines and ETL processes using AWS services such as Glue, Lambda, and S3
• Supporting the migration of an existing data warehouse into AWS (S3 and Redshift)
• Implementing and improving data quality checks, validation, and monitoring
• Contributing to modern data lakehouse and warehousing architecture
• Working closely with analysts and data scientists to enable machine learning and advanced analytics
• Troubleshooting data issues and optimising performance across pipelines and datasets
• Supporting best practices, documentation, and continuous improvement across the data platform

• Strong experience with AWS data services (Glue, Lambda, S3, Redshift, EMR)
• Solid programming skills in Python, SQL, and Py Spark
• Experience designing and optimising data pipelines and ETL/ELT processes
• Good understanding of data warehousing and modern data architectures
• Ability to diagnose and solve complex data and performance challenges
• Comfortable working in an Agile, collaborative environment
• Strong communication skills, working across both technical and non‑technical stakeholders

This is a role where you can genuinely shape and influence a modern data platform, not just maintain it. You'll be working with up‑to‑date tooling, solving meaningful problems, and playing a key role in a wider transformation journey.