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We’re supporting a growing digital transformation consultancy looking for an experienced Data Engineer to play a key role in supporting the digital transformation journeys of its clients.
This is an exciting opportunity for someone who enjoys working with data to solve complex problems, support better decision-making and help develop strong technical teams.
The organisation has ambitious plans for its Data capability, making this a great opportunity for someone who is passionate about developing people, sharing knowledge and contributing to the growth of a Data Engineering community.
Experience within healthcare, or a strong interest in working across healthcare data projects, would be an advantage.
What you’ll be doing
- Designing and implementing complex data pipelines using both NoSQL and relational databases.
- Developing and managing cloud-based data solutions, ensuring scalability, reliability and security.
- Leading and mentoring junior Data Engineers, encouraging knowledge sharing and professional development.
- Implementing and overseeing CI/CD pipelines to support the efficient deployment of data services.
- Using Python, SQL and other relevant backend programming languages effectively.
- Developing data processing and manipulation solutions to support client requirements.
- Supporting the development of the wider Data Engineering capability and contributing to training and development initiatives.
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.
Start with a chat, not a search bar
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.
See breakdownIt searches the market for you
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.
It would be great if you also have experience with
- Supporting the organisation and delivery of a Data Engineer Academy or similar training programme.
- Advanced scripting and automation of data processes and ETL workflows.
- Business Intelligence tools and techniques to deliver actionable insights.
- Software design patterns, principles and architecture patterns.
- Healthcare data standards such as SNOMED, FHIR and HL7.
- Working within a consultancy environment and a genuine passion for understanding and solving client problems.
What’s on offer?
- Employee ownership / participation in company success.
- Competitive salary, benchmarked against the wider market.
- Flexible annual leave, including options to buy, sell and carry forward leave.
- Twice-yearly tax-free bonus opportunities, subject to company performance.
- Continuous training, development and career support.
- Employer pension contributions.
- Regular technology meetups, hackathons and opportunities to attend external events.
- A strong social calendar, including annual events, away days and regular team socials.
- Cycle-to-work and green vehicle schemes.
- Opportunities to support charity, community and initiatives that encourage greater diversity in technology.
- Hybrid and flexible working, designed to support collaboration, creativity and focused working.


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Location: Hybrid
Role: Data Engineer
If you’re an experienced Data Engineer looking for an opportunity to work on meaningful digital transformation projects, develop your technical skills and contribute to the growth of a strong Data Engineering capability, get in touch to find out more.
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