Harnham
Senior Data Engineer

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Senior Data Engineer
London | Hybrid (4 days a week) | £70,000 - £80,000
This is an excellent opportunity for a Senior Data Engineer looking to work on modern cloud technologies, AI-enabled products, and enterprise-scale data challenges. You'll play a key role in designing and delivering the data foundations that power innovative analytics and AI solutions.
The Company
They are an established AI-powered SaaS business at the forefront of data and AI innovation. Their platform helps organisations transform complex datasets into actionable intelligence, supporting better decision-making and stronger business outcomes. Continued growth and investment mean they are expanding their engineering team to support an exciting product roadmap.
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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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 Role
- Design and develop scalable ETL and ELT pipelines
- Build and optimise data models supporting analytics and AI workloads
- Develop and maintain cloud-native data solutions
- Support CI/CD implementation and deployment processes
- Integrate AI and machine learning outputs into production environments
- Implement monitoring, governance, and operational best practices
- Collaborate closely with Product, Engineering, and Data Science teams
- Mentor colleagues and contribute to engineering standards
Your Skills & Experience
- Strong commercial Data Engineering experience
- Advanced SQL and Python skills
- Experience designing modern cloud data architectures
- Strong understanding of dimensional modelling and data warehousing
- Exposure to Azure, AWS, and GCP environments
- Familiarity with CI/CD pipelines and DevOps practices
- Knowledge of DataOps and engineering best practices
- Strong problem-solving and stakeholder engagement skills


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What They Offer
- Competitive salary and benefits package
- Opportunity to work on innovative AI-enabled products
- Exposure to enterprise-scale data challenges
- Collaborative engineering culture
- Professional development support
- Clear progression opportunities within a growing business
How to Apply
Submit your CV to learn more about this Senior Data Engineer opportunity.
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