Senior Data Engineer

Jefferson Frank; Milton Keynes; On-site; GBP 54,000 - 90,000; Full time

Benefits offered by this job

Remote working environment

Performance-related bonus

Job summary

Jefferson Frank in the United Kingdom is seeking a Senior Data Engineer to lead a growing data team and help shape a modern Azure-based data platform. You will deliver data pipelines, data warehouse solutions and reporting environments while mentoring engineers and driving best practices.

This role offers remote working, a competitive salary up to £90,000, and an opportunity to influence data platform strategy across the business with exposure to Fabric, Azure Synapse and Data Factory.

Qualifications

• Experience leading a data engineering team.
• Strong Azure Fabric and Azure Synapse Analytics knowledge.
• Advanced SQL Server development skills (T-SQL, stored procedures).
• Experience designing enterprise data warehouse solutions.
• Experience developing Azure-based data integration solutions.
• Previous team leadership or people management experience.

Responsibilities

• Lead and mentor a small team of Data Engineers.
• Design, build and support Azure Data Pipelines and Data Flows.
• Develop and expand enterprise data warehouse solutions, integrating new data sources and datasets.
• Create, maintain and optimise complex SQL stored procedures, views and functions.
• Improve the performance and structure of data warehouse and reporting environments.
• Produce and maintain technical documentation and development standards.

Skills

Microsoft Fabric

Azure Synapse Analytics

SQL Server

T-SQL

Data warehousing

Leadership

Tools

Azure Data Factory

SQL Server Management Studio

Job description

Senior Data Engineer

Up to £90,000

We are partnering with a market-leading organisation operating within the technology training, digital skills and workforce transformation sector who are investing heavily in its data platform and cloud technology capabilities.

As part of this continued investment, the business is looking to appoint a Senior Data Engineer to join its expanding Data team. This is an excellent opportunity for an experienced Data Engineer to combine hands-on technical delivery with team leadership responsibilities, helping to shape the future of a modern Azure-based data platform.

Working closely with stakeholders across technology and the wider business, you will be responsible for developing and enhancing data pipelines, data warehouse solutions and reporting environments while best practices are maintained. You will also play a key role in mentoring engineers, managing deployments and driving continuous improvement across the data estate.

This role would suit a Senior Data Engineer with strong Azure, Fabric and SQL expertise who enjoys leading technical initiatives, improving data platforms and supporting the development of high-performing engineering teams.

Key Responsibilities

• Lead and mentor a small team of Data Engineers, promoting best practice and engineering excellence
• Design, build and support Azure Data Pipelines and Data Flows
• Develop and expand enterprise data warehouse solutions, integrating new data sources and datasets
• Create, maintain and optimise complex SQL stored procedures, views and functions
• Improve the performance and structure of data warehouse and reporting environments
• Produce and maintain technical documentation and development standards

Skills & Experience

• Strong experience with Microsoft Fabric and Azure Synapse Analytics
• Advanced SQL Server development experience
• Expert knowledge of T-SQL including stored procedures, views and functions
• Experience designing, building and supporting enterprise data warehouse solutions
• Experience developing and supporting Azure-based data integration solutions
• Previous team leadership or people management experience

What's on Offer

• Salary of up to £90,000
• Performance-related bonus scheme
• Remote working environment
• Opportunity to lead a growing team and influence data platform strategy
• Exposure to modern Microsoft data technologies including Fabric, Azure Synapse and Azure Data Factory
• Clear opportunity for progression within a growing data and technology function