Harnham
Lead Data Engineer (Azure)

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LEAD DATA ENGINEER (Azure)
Up to £75,000 + Benefits
London (Hybrid)
This is a fantastic opportunity to join one of the UK's most recognisable cultural organisations as they embark on a major data transformation programme. You'll take ownership of building a modern data platform from the ground up, driving best practice across data engineering while helping the organisation unlock the full value of its data and AI ambitions.
THE COMPANY:
Part of a renowned charitable organisation that entertains millions across the UK, this is the largest publicly funded performing arts organisation in the country. The organisation is investing heavily in modernising its technology estate and creating new opportunities to leverage data, analytics and AI to support future growth and innovation.
THE ROLE:
You will take ownership of designing, building and evolving the organisation's modern data platform. As the technical lead for data engineering, you will define standards, mentor a growing team and deliver data solutions that support business-wide analytics and future AI initiatives.
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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.
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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Key responsibilities include:
- Leading the design and implementation of a cloud-based Lakehouse platform using Microsoft Fabric
- Building scalable and reliable data pipelines using a Medallion architecture approach
- Designing robust data models and semantic layers across multiple business domains
- Establishing engineering best practices, governance frameworks and development standards
- Managing and developing a small team of data engineers
- Partnering with stakeholders across the organisation to translate business requirements into scalable data solutions
- Enabling high-quality downstream reporting, analytics and Power BI semantic models
- Supporting long-term data innovation and AI initiatives across the organisation


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YOUR SKILLS AND EXPERIENCE:
You will bring strong capability in:
- Strong expertise in dimensional data modelling and semantic layer design
- Hands-on experience with Microsoft Fabric and/or Azure Data Services
- Proven experience delivering end-to-end data solutions, from ingestion through to Power BI reporting and analytics
- Strong stakeholder management and communication skills
- Previous experience managing, mentoring or leading teams, with at least two direct reports
THE BENEFITS:
You will receive a salary up to £75,000 dependent on experience, alongside a comprehensive 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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