Harnham
Data Engineer

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Data Engineer
Up to £45,000 + Benefits
Liverpool (Hybrid, 1 day per week in the office)
This is a fantastic opportunity to join a purpose-driven organisation where you can take ownership of building and maintaining data pipelines across a modern Microsoft and cloud-based data platform. You'll work within a growing Data Engineering team and play a key role in shaping the future of the company's data infrastructure.
THE COMPANY:
Our client delivers a wide range of services designed to transform people's lives and strengthen communities. As the organisation continues investing in its data capabilities, they are expanding their Data Engineering team.
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
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
THE ROLE:
You will take ownership of developing and maintaining scalable data solutions across a modern Azure, Snowflake, and Fabric ecosystem. Key responsibilities include:
- Building and maintaining data ingestion pipelines using Azure Data Factory (ADF) and Snowflake.
- Developing and supporting data warehousing solutions and dimensional data models.
- Creating and optimising datasets to support reporting, analytics, and business insights.
- Supporting the ongoing migration and development of solutions within Microsoft Fabric.
- Collaborating with analysts and stakeholders to deliver high-quality, trusted data assets and documentation.


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YOUR SKILLS AND EXPERIENCE:
You will bring strong capability in:
- Data engineering experience, ideally 1-2 years in a dedicated engineering role.
- Building and maintaining ETL / ELT pipelines.
- Data warehousing concepts and dimensional modelling.
- Strong SQL skills and experience working within cloud-based data environments.
THE BENEFITS:
You will receive a salary of up to £45,000 depending on experience, along with an excellent benefits package.
HOW TO APPLY:
Please register your interest by sending your CV to Molly Bird via the apply link on this page.
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