Manchester
Data Engineer Manchester (Hybrid) £55,000-£60,000 Our client is an established, fast-growing digital business on a mission to transform the way customers access financial products. With a large team of people across multiple locations, the organisation prides itself on an innovative, data-driven culture where teams are empowered to work autonomously, collaborate effectively, and continuously improve. The environment is energetic, modern, and forward-thinking, with a strong focus on solving complex customer problems and redefining what a seamless digital experience looks like. This is an exciting opportunity to join a business investing heavily in its data capabilities as it continues to scale. Role Purpose As a Data Engineer, you will take ownership of the organisation's data platform, covering both SQL Server workloads and a modern cloud-based data ecosystem. You'll ensure the reliability, scalability and performance of data pipelines, enabling high-quality analytics and supporting self-serve visualisation for teams across the business. This is a hands-on role where you'll help evolve the data architecture, contribute to the development of cloud-based solutions, and play a key part in strengthening data governance, quality, and accessibility. Data Engineer Responsibilities • Data Reliability & Performance, • Maintain and optimise SQL Server databases hosted on AWS RDS., • Troubleshoot SSIS packages and scheduled jobs., • Conduct performance tuning, query optimisation, indexing and cost efficiency reviews., • Support backup, disaster recovery and high-availability strategies., • Ensure high levels of data reliability for operational and reporting systems., • Modern Data Platform Development, • Contribute to the build and enhancement of a data lake / lakehouse architecture., • Work with AWS tools such as S3, Glue and Lambda., • Develop robust, scalable data pipelines., • Prepare clean, structured datasets for visualisation tools (preferably Tableau)., • Collaboration & Continuous Improvement, • Partner with Product, Engineering and Analytics teams to deliver end-to-end data solutions., • Support data governance, security and quality initiatives., • Stay curious and adaptable, especially as AI continues to reshape data engineering practices. Essential Skills & Experience • Strong SQL Server expertise (T-SQL, performance tuning, indexing)., • Experience managing SQL Server environments within AWS RDS., • Hands-on SSIS development experience., • Proven background in building and maintaining data pipelines., • Experience preparing data for BI/visualisation tools (Tableau desirable)., • Strong analytical, problem-solving and communication skills., • Knowledge of data warehousing and/or data lake concepts., • Any Data DevOps experience (e.g., Terraform, GitHub) would be highly beneficial. Experience & Behaviours • You'll bring experience in a similar data engineering or senior backend engineering role, comfortable working in cloud-based production environments. This role suits someone who takes real ownership-not just of their code, but of platform stability, data quality, and best practice.