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Data Engineer

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Data Engineer | Newcastle upon Tyne | £65,000–£130,000 + 10% Bonus
I’m working with a rapidly growing technology consulting business in Newcastle that is looking to add several experienced Data Engineers to its team due to project demand.
This is a genuinely broad engineering role. Rather than sitting in a traditional data function working on the same platform or pipeline indefinitely, you’ll work on complex, client-facing technology projects across a variety of environments.
The business works with large, sophisticated organisations on challenging technology programmes, embedding its engineers alongside client teams to solve problems spanning data, software and modern cloud engineering.
They’ve grown significantly over the last 12 months and have considerably more project demand than their current engineering team can support, so this is an ongoing area of investment rather than a single replacement hire.
What you'll be doing
You’ll work across the data engineering lifecycle, designing and building reliable data solutions while working directly with technical and non-technical stakeholders.
Depending on the project, that could involve:
- Designing and building scalable data pipelines
- Developing data platforms and integrations
- Working with Python, SQL and modern cloud technologies
- Improving data quality, reliability and accessibility
- Testing, troubleshooting and improving existing platforms
- Working with orchestration and version-control tooling
- Understanding client requirements and translating them into technical solutions
- Working within different technology stacks depending on the project
- Collaborating closely with software, data and wider engineering teams
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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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
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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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
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 important distinction is that this isn't a narrow "tickets in, code out" Data Engineering position. You'll be expected to understand the problem you're solving, communicate with the people using the technology and take ownership of delivering the right solution.
What we're looking for
Ideally, you'll have a minimum of 4 years of commercial engineering experience and a strong grounding in data engineering.
You'll likely have experience with:
- Python
- SQL
- AWS, Azure or GCP
- Building production data pipelines
- Data modelling and data platforms
- Git
- Airflow or similar orchestration technologies
- Testing, debugging and improving data reliability
We're particularly interested in engineers who have worked in consultancy, professional services or other client-facing technical environments.


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What's more important is that you're technically strong, comfortable communicating with stakeholders and interested in working across different technologies rather than being tied to one stack.
The environment
This will suit someone who enjoys a fast-moving, entrepreneurial engineering environment. The company places a significant emphasis on technical quality and deliberately maintains a high hiring bar as it grows. Engineers are given considerable ownership and are trusted to work directly with customers rather than operating behind layers of account management.
You'll work alongside experienced engineers across software and data, with the opportunity to broaden your technical skill set considerably.
Package
- £65,000-£130,000 base salary (depending on level, up to £100k for Mid Level and £130k for Senior)
- 10% bonus
- Fully Onsite in beautiful offices in Newcastle
- 25 days' annual leave + bank holidays
- Pension contributions matched up to 6%
- Private medical insurance through Bupa
- Business going through considerable growth and progression opportunities
If this sounds like you then please click apply now!
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