Data Engineer

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.

• 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. Curiosity and a desire to explore new approaches, tools and industry trends will set you up for success here.