Senior Data Engineer

We're looking for a talented and motivated Data Engineer to join a growing Data Engineering team delivering high-quality, enterprise-scale data solutions. This is a great opportunity to work in a collaborative, technically strong environment using Microsoft technologies to build robust data platforms that enable data-driven decision-making across the business.

You'll work closely with Architects, Senior Engineers, and a wide range of stakeholders to design, develop, and deliver scalable data solutions. Alongside project delivery, you'll play an active role in promoting engineering best practices, contributing to Agile delivery, and ensuring solutions meet high standards for security, compliance, and data governance.

Role & Responsibilities

• Design, develop, and deliver high-quality enterprise data solutions using Microsoft data platforms
• Work closely with Architects and Senior Engineers to implement solutions aligned to technical designs and specifications
• Collaborate with business stakeholders to understand requirements and ensure delivered solutions meet business needs
• Partner with Data Science, Digital, and Core Systems teams on cross-functional initiatives
• Contribute to Agile ceremonies including stand-ups, backlog refinement, retrospectives, and demos
• Participate in code reviews and support continuous improvement of engineering standards
• Adhere to in-house engineering principles, architectural standards, and industry best practices
• Follow established policies for data management, governance, quality, security, and compliance
• Produce clear technical documentation, including design documents, wikis, and release notes
• Carry out thorough testing and quality assurance prior to release into production

Essential

• 10 plus years' experience in Data Engineering and Business Intelligence
• Experience working within a regulated environment
• Strong analytical and problem-solving skills
• Ability to quickly understand new and complex subject areas
• Confident communicating technical concepts to both technical and non-technical stakeholders
• Strong experience with Microsoft Data Platform technologies (SQL Server, SSIS, SSAS, SSRS)
• Hands-on experience building and maintaining data pipelines and integrations (ETL/ELT)
• Solid understanding of data warehousing concepts, dimensional modelling, and data normalisation
• Experience with data manipulation languages such as T-SQL and DAX
• Experience working in an Agile environment (ideally Kanban)
• Strong interpersonal skills with the ability to build effective working relationships
• A collaborative mindset with strong teamwork skills

Desirable

• Experience building dashboards and reports using Power BI
• Programming or Scripting experience (eg C#, Python, PowerShell)
• Experience consuming APIs and working with semi-structured data (JSON, XML)
• Experience with Microsoft Azure data services such as Azure Data Factory, Azure Data Lake, Azure SQL, Azure Synapse, Azure Functions, Cosmos DB
• Familiarity with Git repositories and branching strategies
• Exposure to additional technologies such as PowerShell, Bicep, YAML, and the Power Platform