Oliver Bernard
Data Engineer

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Data Engineer | £45,000 - £70,000 | Hybrid (London)
We're recruiting for a growing, well-backed company in the home energy and sustainability space. They help homeowners access and manage modern energy technology, and have grown significantly in recent years, both organically and through acquisitions.
They're now looking for a Data Engineer to join their data team and help build out core data infrastructure as the business scales.
The Role
You'll design, build and maintain scalable data pipelines, own ETL/ELT development, and help evolve a cloud-based data warehouse, working closely with data, tech and product colleagues to support the wider data strategy.
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.
Key Responsibilities
- Design, develop and maintain scalable data pipelines and infrastructure
- Build and optimise ETL/ELT processes for accurate, timely data ingestion
- Maintain and evolve a cloud-based data warehouse (BigQuery)
- Implement data validation, monitoring and governance processes
- Collaborate cross-functionally to support data requirements across the business
- Automate and streamline infrastructure deployment processes
What We're Looking For
- Proven production experience building and maintaining data pipelines/warehouses using BigQuery or similar cloud data platforms
- Strong SQL skills and hands-on experience with ETL/ELT frameworks, data modelling and pipeline orchestration
- Python (or similar) is a plus
- Experience with GCP or AWS, particularly data storage and analytics services
- Solid grasp of data warehousing concepts, schema design and large-scale system optimisation
- Excellent problem-solving skills and strong attention to detail
- Confident communicator, able to translate technical concepts for non-technical stakeholders
- Self-motivated, collaborative, and comfortable owning projects end-to-end


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Nice to Have
- Experience with low-code automation tools
- Familiarity with CI/CD practices for data engineering
Data Engineer | £45,000 - £70,000 | Hybrid (London)
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location