About this role
Salary: £54,000 - 94,000 per year
Requirements: Strong SQL skills with experience building and optimising data models.Experience designing and maintaining ETL/ELT pipelines.Experience working with cloud data platforms, with AWS preferred.Exposure to data warehousing, data lakes and modern data architecture.Understanding of workflow orchestration and automation tools.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 backend 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. Responsibilities: 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.Collaborate with BI Developers to build backend data models that support performant visualisations.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. Technologies: AWSBackendBusiness IntelligenceCloudETLSupportPower BIPythonPySparkSQLTableauDevOps More:
We are offering a permanent Analytics Engineer role in Greater London with a salary of 50,000.00 to 55,000.00 per annum. You will join a high-performing, highly collaborative Business Intelligence team within a business that genuinely invests in its people. This backend-focused role centres on SQL, data modelling and ETL/ELT development, with the opportunity to work closely with experienced BI professionals, influence the evolution of our data platform, and continue developing your technical and professional skills in a supportive environment. This is not a dashboard or reporting development position.
last updated 36 week of 2026