Data Engineer

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 our data platform by exploring modern tooling and engineering best practices.

Technologies:

• AWS
• Backend
• Business Intelligence
• Cloud
• ETL
• Support
• Power BI
• Python
• PySpark
• SQL
• Tableau

More:

We are a highly collaborative and engaging business based in Greater London, offering a permanent Analytics Engineer role within our high-performing Business Intelligence team. This is a backend-focused position centred around SQL, data modelling and ETL/ELT development, supporting scalable data solutions that power reporting, dashboards and self-service analytics across the business. We invest in our people, provide the opportunity to work with modern cloud technologies, and offer a supportive environment where you can influence the evolution of our data platform and continue developing your technical and professional skills.

last updated 36 week of 2026

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