Data Engineer

We’re looking for an Data/Analytics Engineer to join our client’s high-performing Business Intelligence team, helping to build scalable, high-quality data solutions that power reporting, dashboards and self-service analytics across the business.

Working closely with BI Developers and business stakeholders, you’ll design and optimise ETL/ELT pipelines, develop curated data models, and translate business requirements into reliable Back End data solutions. This is a fantastic opportunity for someone who enjoys solving complex data challenges and wants to work with modern cloud technologies in a collaborative, forward-thinking environment.

What you’ll be doing

• Design, build and maintain scalable ETL/ELT pipelines that deliver reliable, high-quality data.
• Develop curated, business-ready datasets that support reporting, dashboards and self-service analytics.
• Optimise data models, SQL queries and pipeline performance to improve efficiency and scalability.
• Implement data quality, monitoring and governance controls to ensure trusted, accurate data.
• Work with business stakeholders to understand requirements and translate them into robust technical solutions.
• Contribute to the continuous improvement of the data platform, exploring modern tooling and engineering best practices., You’ll be joining a highly collaborative and engaging team within a business that genuinely invests in its people. Alongside working on modern data technologies, you’ll have the opportunity to influence the evolution of the data platform, work closely with experienced BI professionals, and continue developing both your technical and professional skills in a supportive environment.

• Strong SQL skills with experience building and optimising data models.
• Experience designing and maintaining ETL/ELT pipelines.
• Experience working with cloud data platforms (AWS preferred).
• Exposure to data warehousing, data lakes and modern data architecture.
• Python experience (including PySpark) is beneficial but not essential.
• Exposure to BI platforms such as Power BI, Tableau or QuickSight, with an understanding of how Back End data models support reporting and visualisation.
• Strong communication skills and the ability to work effectively with both technical and non-technical stakeholders.
• A genuine interest in modern data engineering practices and emerging technologies.