Senior Analytics Engineer - Fabric

This is an excellent opportunity for a Senior Analytics Engineer to join a growing, data-driven organisation at a key stage of its development. You'll play a central role in modernising data platforms, improving data accessibility, and supporting international growth initiatives while working with a modern Microsoft technology stack.

They are a specialist information and data services organisation that helps businesses make informed decisions through high-quality data, analytics, and intelligence solutions. With a growing international presence and continued investment in technology, they are expanding their data capabilities to support new products, markets, and customer demands.

The business operates a cloud-first data environment and is committed to building scalable, reliable, and innovative data solutions. This role sits within a collaborative data function, working closely with engineering, analytics, and data acquisition teams.

As a Senior Analytics Engineer, you will take ownership of a key area of the data platform and play an important role in enhancing data quality, performance, and scalability.

Key responsibilities include:

• Designing, building, and optimising ELT pipelines across cloud-based data platforms.
• Developing and maintaining data solutions using Azure, Azure Data Factory, Microsoft Fabric, and SQL.
• Supporting data migration and platform modernisation initiatives.
• Improving data processing efficiency and reducing data latency across multiple regions.
• Working with both modern and legacy data models to deliver scalable solutions.
• Developing and maintaining Power BI reporting and analytics capabilities.
• Implementing best practices around data quality, documentation, governance, and maintainability.
• Collaborating with technical and non-technical stakeholders to translate business requirements into robust data solutions.
• Contributing to architectural decisions and continuous improvement across the data platform.

To be successful in this Senior Analytics Engineer role, you should have:

• Strong commercial expertise in SQL, which is a core requirement for the position.
• Experience working with Azure Data Factory (ADF), Microsoft Fabric, and Azure cloud technologies.
• Strong knowledge of ELT pipeline development, optimisation, and data integration.
• Experience supporting data migration projects and modernising existing data environments.
• Expertise in Power BI and data visualisation.
• Experience working with legacy data models while delivering improvements and modernisation.
• Knowledge of Agile or Scrum delivery environments.
• The ability to work independently, take ownership of projects, and communicate effectively with a range of stakeholders.
• Python for automation or data scraping.
• Azure Dev Ops, source control, and branching strategies.
• Data warehousing, datamarts, and reporting databases.
• Exposure to Data Science workflows and concepts.

• Hybrid working with 2 days per week in the Oxford office.
• Opportunity to own and shape a key area of the data platform.
• Exposure to large-scale international data initiatives.
• A collaborative environment with strong investment in data and technology.
• Clear opportunities to influence technical strategy and contribute to platform growth.