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Data Engineer

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Data Engineer
Newcastle upon Tyne
£90,000 - £100,000 + Hybrid Working + Excellent Company Benefits
Excellent opportunity for a senior Data Engineer to join a major national organisation and take ownership of the architecture, development and ongoing evolution of its enterprise data platform.
This is a newly influential role within an organisation investing significantly in data, reporting and technology. You will have the opportunity to design and develop scalable data pipelines, shape the architecture of a Microsoft-based data lake and work directly with senior stakeholders across technology and finance.
Reporting to the Group IT Director, you will:
- Build and maintain data solutions across Azure and AWS, bringing together information from multiple systems and ensuring that complex datasets remain accurate, secure and reliable.
- Work closely with developers, infrastructure engineers, data specialists, report writers and senior business users.
The position therefore offers a strong mixture of hands-on engineering, technical ownership and stakeholder engagement.
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.
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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.
The ideal candidate will have:
- Expert SQL skills
- Extensive MS SQL Server experience
- Strong knowledge of Databricks and Azure Data Factory
- Practical experience delivering data solutions across both Azure and AWS environments.
This is a fantastic opportunity to take a leading role in the development of a large organisation’s data capability, with the autonomy to influence architecture, engineering standards and future technology decisions.
The Role:
- Designing, developing and maintaining scalable data pipelines
- Building data architecture that brings together multiple business systems
- Developing and supporting a Microsoft-based enterprise data lake
- Designing and maintaining MS SQL databases and related data systems
- Building ETL and data transformation solutions using Databricks and Azure Data Factory
- Developing cloud-based data solutions across Azure and AWS
- Ensuring the quality, integrity and reliability of complex datasets
- Working closely with FP&A, technology teams and senior business stakeholders
- Collaborating with developers, infrastructure engineers and reporting specialists
- Troubleshooting complex data and pipeline issues


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Four days per week based in the Newcastle office, with one day working from home
The Person:
- Senior-level Data Engineering experience
- Expert SQL knowledge
- Extensive experience with Microsoft SQL Server
- Strong experience with Databricks
- Experience building ETL pipelines using Azure Data Factory or similar tools
- Hands-on experience working across both Azure and AWS
- Programming knowledge using Python, Java, C# or a similar language
- Strong understanding of data architecture, data lakes and pipeline development
- Confident communicating with both technical and non-technical stakeholders
- Experience working with financial systems or FP&A teams would be advantageous
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