Analytics Engineer

As an Analytics Engineer, you will build scalable data pipelines and curated datasets to enable reliable reporting and self-service analytics. You’ll work with BI Developers and business stakeholders to translate requirements into robust data solutions, focusing on scalable ETL/ELT design and data quality. You’ll optimise data models and backend structures to support performant dashboards, while contributing to the evolution of the data platform in a collaborative, forward-thinking team. This role offers the chance to shape data architecture using modern cloud technologies and best practices.

• Design, build and maintain scalable ETL/ELT pipelines delivering high-quality data
• Develop curated, business-ready datasets to support reporting and self-service analytics
• Optimise data models, SQL queries and pipeline performance for efficiency and scale
• Implement data quality, monitoring and governance controls to ensure trusted data
• Collaborate with BI Developers to support performant visualisations through backend models
• Translate business requirements into robust technical solutions for stakeholders
• Contribute to continuous improvement of the data platform and tooling

• Strong SQL skills with data model optimisation
• Experience designing and maintaining ETL/ELT pipelines
• Experience with cloud data platforms (AWS preferred)
• Exposure to data warehouses and data lakes
• Understanding of workflow orchestration and automation tools
• Python experience (including PySpark) beneficial but not essential
• Exposure to BI platforms (Power BI, Tableau, QuickSight) and backend data modelling for reporting

• Strong communication with technical and non-technical stakeholders
• Collaborative mindset
• Interest in modern data engineering practices and emerging technologies
• SQL
• ETL/ELT design
• Cloud data platforms (AWS)