Harnham
Senior Analytics Engineer - Fabric

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Senior Analytics Engineer
Oxford / Hybrid
Up to £65,000
Overview
This is an excellent opportunity for a Senior Analytics Engineer to join a growing, data-driven organisation at a key stage of its development. You'll play a central role in modernising data platforms, improving data accessibility, and supporting international growth initiatives while working with a modern Microsoft technology stack.
The Company
They are a specialist information and data services organisation that helps businesses make informed decisions through high-quality data, analytics, and intelligence solutions. With a growing international presence and continued investment in technology, they are expanding their data capabilities to support new products, markets, and customer demands.
The business operates a cloud-first data environment and is committed to building scalable, reliable, and innovative data solutions. This role sits within a collaborative data function, working closely with engineering, analytics, and data acquisition teams.
The Role
As a Senior Analytics Engineer, you will take ownership of a key area of the data platform and play an important role in enhancing data quality, performance, and scalability.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
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Key responsibilities include:
- Designing, building, and optimising ELT pipelines across cloud-based data platforms.
- Developing and maintaining data solutions using Azure, Azure Data Factory, Microsoft Fabric, and SQL.
- Supporting data migration and platform modernisation initiatives.
- Improving data processing efficiency and reducing data latency across multiple regions.
- Working with both modern and legacy data models to deliver scalable solutions.
- Developing and maintaining Power BI reporting and analytics capabilities.
- Implementing best practices around data quality, documentation, governance, and maintainability.
- Collaborating with technical and non-technical stakeholders to translate business requirements into robust data solutions.
- Contributing to architectural decisions and continuous improvement across the data platform.
Your Skills & Experience
To be successful in this Senior Analytics Engineer role, you should have:
- Strong commercial expertise in SQL, which is a core requirement for the position.
- Experience working with Azure Data Factory (ADF), Microsoft Fabric, and Azure cloud technologies.
- Strong knowledge of ELT pipeline development, optimisation, and data integration.
- Experience supporting data migration projects and modernising existing data environments.
- Expertise in Power BI and data visualisation.
- Experience working with legacy data models while delivering improvements and modernisation.
- Knowledge of Agile or Scrum delivery environments.
- The ability to work independently, take ownership of projects, and communicate effectively with a range of stakeholders.


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Desirable experience includes:
- Python for automation or data scraping.
- C# development experience.
- Azure DevOps, source control, and branching strategies.
- Data warehousing, datamarts, and reporting databases.
- Exposure to Data Science workflows and concepts.
What They Offer
- £65,000 base salary.
- Comprehensive benefits package.
- Hybrid working with 2 days per week in the Oxford office.
- Opportunity to own and shape a key area of the data platform.
- Exposure to large-scale international data initiatives.
- A collaborative environment with strong investment in data and technology.
- Clear opportunities to influence technical strategy and contribute to platform growth.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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