Data Engineer

We're looking for a hands-on Data Enginee r with 3 to 5 years of experience to join the Accent Data team.

This role blends delivery, support and learning, where you'll work closely with the wider data team to build and maintain the pipelines that power reporting, analytics and business initiatives across the group.

You'll cover the modern Azure data stack through to Databricks while working alongside a strong data team who'll support your growth in a fast-paced retail environment.

• Write and optimise SQL to validate, shape and troubleshoot data across pipelines and data marts

• Build, test and maintain data pipelines in Azure Data Factory to move and transform data across source systems and support company initiatives

• Ability to process and transform data within Databricks using notebooks, build basic data pipelines, manage storage, and navigate core features like Unity Catalog

• Contribute to data quality and documentation practices across the data landscape

• Learn from and collaborate with senior members of the data team, growing your skills across the Azure data platform

To be successful you will have:

• Strong proficiency in Microsoft SQL Server or Azure SQL Database, including writing, troubleshooting, and optimizing queries and stored procedures

• Experience building and optimising ETL/ELT pipelines using Azure Data Factory, with broader exposure to Azure cloud data platforms

• Working knowledge of Python for data engineering tasks or programming foundation in language other than SQL

• Working with Databricks for data processing and transformation, including using notebooks, understanding key architecture concepts, and working with Unity Catalog

• Ability to work in a fast-paced environment and manage competing priorities

• Good communication skills and comfort working closely with a data team

• Experience in retail, or interest in retail data (trading, inventory, customer performance), is a plus but not essential