Senior Data Engineer

Jefferson Frank; Greater London; Hybrid; GBP 45,000 - 75,000; Full time

Benefits offered by this job

Salary up to £75,000

Hybrid working model

Exposure to AI and automation projects

Ongoing training and development

Clear progression opportunities

Collaborative team environment

Job summary

Jefferson Frank in London is seeking a Senior Data Engineer to drive a Microsoft Fabric-based data platform transformation. You will design scalable ETL/ELT pipelines, model data, and work with Azure services while collaborating with multiple business and technical stakeholders.

The role offers a hybrid work model with exposure to AI and automation projects, and opportunities for ongoing training and progression within a growing data function.

Qualifications

• Experience as a Data Engineer in a Microsoft environment.
• Hands-on experience with Microsoft Fabric.
• Experience building and maintaining ETL/ELT pipelines.
• Strong SQL/T-SQL skills.
• Experience designing scalable data solutions and data warehouses.
• Excellent stakeholder management and communication skills.

Responsibilities

• Design and develop scalable ETL/ELT solutions.
• Lead large-scale data migration and transformation projects.
• Develop SQL/T-SQL for data processing.
• Model data and build data warehousing solutions.
• Work with Azure-based data services and integrations.
• Collaborate with business and technical stakeholders across departments.

Skills

Microsoft Fabric

ETL/ELT pipelines

SQL/T-SQL

Data modelling

Data warehousing

Python

Power BI

Azure

Stakeholder management

Big data

Tools

Azure Data Factory

Synapse Analytics

Azure Data Lake

CI/CD/DevOps

Job description

Senior Data Engineer - Microsoft Fabric - London (Hybrid) - Up to £75,000

This is an exciting opportunity to join a well-established international organisation currently undergoing a major transformation of its data and reporting landscape.

With significant investment being made into Microsoft Fabric, data modernisation and automation, the business is looking for a Senior Data Engineer who can play a key role in shaping and delivering its next‑generation data platform. You'll join a growing team at a pivotal stage, helping to build scalable data solutions while influencing best practice and future architecture decisions across the business.

This role would suit someone who is passionate about modern Microsoft data technologies and wants to work in an environment where Microsoft Fabric is central to the long‑term data strategy.

You Will Work With

• Microsoft Fabric (Lakehouses, Data Pipelines, Notebooks and Dataflows)
• Designing and developing scalable ETL/ELT solutions
• Large-scale data migration and transformation projects
• SQL and T‑SQL development
• Data modelling and data warehousing solutions
• Azure-based data services and integrations
• PySpark and Python within Fabric Notebooks
• Power BI reporting and analytics requirements
• Business and technical stakeholders across multiple departments
• AI, automation and continuous improvement initiatives

Benefits

• Salary up to £75,000 depending on experience
• Hybrid working model
• Opportunity to work on a major Microsoft Fabric transformation
• Exposure to AI and automation projects
• Ongoing training and development
• Clear progression opportunities within a growing data function
• Collaborative and supportive team environment
• Opportunity to influence future data strategy

Key Experience

Essential

• Strong experience as a Data Engineer in a Microsoft environment
• Hands‑on experience with Microsoft Fabric
• Experience building and maintaining ETL/ELT pipelines
• Strong SQL/T‑SQL skills
• Experience designing and developing scalable data solutions
• Data modelling and data warehouse experience
• Strong problem‑solving and analytical skills
• Excellent stakeholder management and communication skills

Desirable

• PySpark and Python experience within Fabric Notebooks
• Azure Data Factory, Synapse Analytics or Azure Data Lake
• Power BI
• Data migration experience
• CI/CD and DevOps exposureAI/ML experience
• Microsoft Fabric certifications (DP‑600)
• Azure Data Engineering certification (DP‑203)