Making sure you fit the guidelines as an applicant for this role is essential, please read the below carefully. 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. You should enjoy collaborating with others, sharing knowledge, and contributing to a culture of continuous improvement. xehkeey Curiosity and a desire to explore new approaches, tools and industry trends will set you up for success here. Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates