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Harnham

Senior Analytics Engineer

Oxford
£65k/yr
Posted 1 day ago
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Senior Analytics Engineer

Oxford (Hybrid, 2 days per week) | Up to £65,000

No sponsorship offered

This is an opportunity to join a growing data function within an organisation undergoing significant international expansion. As data volumes and regional coverage continue to increase, the team are investing in their platform and looking for an experienced Analytics Engineer to help improve data processing, reduce latency, and support the evolution of their cloud-based data environment.

The Company

They are a growing organisation with an established data function supporting business operations across multiple regions. Data is central to their continued growth, and they are investing in technology and people to enhance their capabilities.

The wider team consists of Data Engineering, Data Acquisition, and Analytics professionals who work closely together to deliver scalable, high-quality data solutions.

The Role

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.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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.

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Strong

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.

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You will take ownership of data initiatives for a specific region and play a key role in developing and improving the organisation's data platform.

Key responsibilities include:

  • Building and maintaining ELT pipelines across the Azure ecosystem
  • Developing solutions using SQL, Azure Data Factory and Microsoft Fabric
  • Supporting data migration and modernisation projects
  • Improving data quality, processing efficiency and reliability
  • Working with legacy data models and integrating new solutions
  • Developing and supporting Power BI reporting capabilities
  • Performing data cleansing and transformation using notebooks within ADF
  • Collaborating with Data Engineering, Data Acquisition and Analytics teams
  • Contributing to architectural discussions and technology decisions
  • Delivering solutions within Agile and Scrum environments

Your Skills & Experience

You will have strong commercial experience with:

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  • SQL, with advanced query writing and optimisation skills
  • Microsoft technology stack development
  • Azure Data Factory (ADF)
  • Microsoft Fabric
  • Azure cloud technologies
  • ELT pipeline development and maintenance
  • Data migration projects
  • Data cleansing and transformation processes
  • Legacy data models
  • Power BI reporting

What They Offer

  • Salary up to £65,000
  • Hybrid working with flexibility around office attendance
  • Opportunity to take ownership of a regional data estate
  • Exposure to platform modernisation and data migration projects
  • Collaborative team environment with close interaction across Data Engineering, Analytics and Data Acquisition
  • Opportunity to influence data delivery and technical direction

How to Apply

If you're an Analytics Engineer with strong SQL, Azure Data Factory, Microsoft Fabric and Azure experience, apply today to learn more about this opportunity.

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Skills

Sql
Azure Data Factory
Microsoft Fabric
Azure Cloud
ELT Pipeline Development
Data Migration
Data Cleansing
Power BI
Data Transformation
Legacy Data Models
Agile
Scrum

Location

Oxford, England, United Kingdom

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