Salary: £25,000 - 42,000 per year Requirements: Strong analytical and technical capability Ability to design robust data models Excellent communication skills Degree in Computer Science, Engineering, Maths, Economics, or Data Science (desirable) Advanced SQL skills Experience with analytical/dimensional modelling Practical experience with modern ELT tools (Dataform/dbt) and Git workflows Knowledge of cloud data warehouses, ideally BigQuery Familiarity with orchestration tools such as Airflow Experience designing BI-friendly datasets, particularly for Power BI Knowledge of enterprise systems such as SAP BW/HANA Track record of building reusable datasets or maintaining a metrics/semantic layer Basic Python for automation or analytics engineering tooling Experience collaborating in cross-functional analytics or data product teams Responsibilities: Design, build, and maintain analytics models that convert raw data into trusted, business-ready datasets Own the full modelling lifecycle (staging → core → marts) Define and maintain consistent metrics, dimensions, and business logic Implement testing, data quality checks, and SLAs to ensure reliability Translate business requirements into scalable, well-structured data solutions Deliver self-service datasets and support reporting/dashboards where needed Continuously improve analytics engineering processes and standards Provide robust data foundations to support strategic initiatives, including cost, pricing, and operational analytics Technologies: Airflow BigQuery Cloud Git Support Power BI Python SAP SQL dbt DevOps More: We are looking for an experienced Analytics Engineer to help shape our data foundations and deliver high-quality, trusted insights across our business. In this role, you will work collaboratively with teams across Finance, Commercial, Operations, and IT, ensuring the organization can make confident, data-driven decisions. We offer a supportive, innovative culture known for empowering teams and encouraging growth, where you can have real influence on how data is defined and used. Join us to develop your skills with modern cloud, modelling, and automation technologies in an inclusive workplace. last updated 14 week of 2026