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We’re supporting a growing digital transformation consultancy looking for an experienced Lead Data Engineer to play a key role in supporting the digital transformation journeys of its clients.
This is a great opportunity for someone with experience guiding others, working closely with clients and helping organisations use data to make better decisions.
The organisation works across a broad range of sectors and domains, spanning both public and private sector clients. Healthcare currently makes up a significant part of the client portfolio, so experience in healthcare data would be a real advantage.
As a consultancy, the technology stack will vary from client to client, so strong technical foundations, adaptability and the ability to work effectively across different technologies are highly valued.
There is also a strong focus on using emerging AI technologies to improve individual workflows and deliver better outcomes for clients.
What you’ll be doing
- Designing and implementing cloud-based data solutions, with a focus on scalability, security and reliability.
- Applying advanced scripting skills to automate data processes and integrate ETL workflows.
- Using Business Intelligence tools and techniques to turn data into actionable insights for clients.
- Implementing and overseeing CI/CD pipelines to support efficient and reliable deployment of data services.
- Building strong relationships with clients and stakeholders to support successful, high-quality delivery.
- Providing technical guidance and support to colleagues across the Data capability.
- Contributing to internal initiatives and wider planning discussions to help shape the continued growth of the Data Engineering capability.
- Supporting the development of junior Data Engineers and helping to build a strong data engineering community.
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.
What we’re looking for
- Experience leading or guiding others and supporting clients to use data for better decision-making.
- Strong proficiency in Python, SQL and other relevant backend programming languages.
- Experience mentoring junior Data Engineers and promoting knowledge sharing and professional development.
- A genuine enthusiasm for developing junior talent and contributing to the growth of a wider Data Engineering capability.
- The adaptability to work across different technologies and client environments rather than relying on deep expertise in one specific tool.
It would be great if you also have experience with
- Working within a consultancy environment and a genuine interest in understanding and solving client problems.
- Azure or AWS certifications related to data engineering.
- Software design patterns, principles and architecture patterns.
- Keeping up to date with emerging trends and developments in data engineering.
- Healthcare data standards such as SNOMED, FHIR and HL7, or a wider interest in healthcare data projects.
- Supporting the organisation and delivery of Data Engineering academies or similar training programmes.
- Business development activities, including contributing to bids and proposals.


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What’s on offer?
- Competitive salary.
- 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.
- Flexible healthcare benefits.
- 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, allowing you to vary when and where you work to support collaboration, creativity and focused working.
Location: Hybrid / Flexible
Role: Lead Data Engineer
If you’re an experienced Data Engineer ready to take the next step into a leadership role, with the opportunity to work directly with clients, develop others and help shape a growing Data Engineering capability, get in touch to find out more.
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