Senior Analytics Engineer

Harnham; Oxford; On-site; GBP 76,000 - 83,000; Full time

Job summary

Harnham in Oxford is seeking a data engineer to design and operate Azure-based ELT pipelines, focusing on data quality and migration within a hybrid work arrangement. You will leverage SQL, Azure Data Factory, and Microsoft Fabric to deliver scalable data solutions and robust reporting with Power BI.

You will collaborate with Data Engineering, Data Acquisition and Analytics teams, contribute to architecture discussions, and work in Agile/Scrum environments to modernise our regional data estate.

Qualifications

• Strong SQL with advanced query writing and optimisation.
• Experience with Azure Data Factory and Microsoft Fabric.
• Experience with Power BI reporting.

Responsibilities

• Build and maintain ELT pipelines across the Azure ecosystem
• Develop solutions using SQL, Azure Data Factory and Microsoft Fabric
• Support data migration and modernisation projects
• Improve data quality, processing efficiency and reliability
• Work with legacy data models and integrate new solutions
• Develop and support Power BI reporting capabilities
• Perform data cleansing and transformation using notebooks within ADF
• Collaborate with Data Engineering, Data Acquisition and Analytics teams
• Contribute to architectural discussions and technology decisions
• Deliver solutions within Agile and Scrum environments

Skills

SQL

Microsoft stack

Azure Data Factory

Microsoft Fabric

Azure

ELT pipelines

Data migration

Data cleansing

Legacy data models

Power BI

Tools

Azure Data Factory

Microsoft Fabric

Power BI

SQL

DevOps

Job description

Salary: £76,000 - 83,000 per year

Requirements:

• Strong commercial experience with SQL, including advanced query writing and optimisation
• Experience with the Microsoft technology stack
• Experience with Azure Data Factory (ADF)
• Experience with Microsoft Fabric
• Experience with Azure cloud technologies
• Experience developing and maintaining ELT pipelines
• Experience with data migration projects
• Experience with data cleansing and transformation processes
• Experience working with legacy data models
• Experience with Power BI reporting

Responsibilities:

• Build and maintain ELT pipelines across the Azure ecosystem
• Develop solutions using SQL, Azure Data Factory and Microsoft Fabric
• Support data migration and modernisation projects
• Improve data quality, processing efficiency and reliability
• Work with legacy data models and integrate new solutions
• Develop and support Power BI reporting capabilities
• Perform data cleansing and transformation using notebooks within ADF
• Collaborate with Data Engineering, Data Acquisition and Analytics teams
• Contribute to architectural discussions and technology decisions
• Deliver solutions within Agile and Scrum environments

Technologies:

• Azure
• Cloud
• Fabric
• Support
• Power BI
• SQL
• DevOps

More:

We are a growing organisation with an established data function supporting business operations across multiple regions. Data is central to our continued growth, and we are investing in technology and people to enhance our capabilities. Our wider team includes Data Engineering, Data Acquisition, and Analytics professionals who work closely together to deliver scalable, high-quality data solutions. This is a hybrid role based in Oxford, with two days per week in the office, and offers a salary of up to £65,000. We are investing in our cloud-based data environment and offer the opportunity to take ownership of a regional data estate, influence technical direction, and contribute to platform modernisation and data migration projects.