Oliver Bernard
Head of Data Engineering – London (Hybrid)

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Head of Data Engineering – London (Hybrid) | Python, dbt, Airflow, AWS
We’re once again supporting a fast-growing PropTech business as they enter a pivotal phase, transforming how data drives decisions across the entire organisation. They’re looking for a Head of Data Engineering to take the lead.
This isn’t just another leadership title. It’s an opportunity to design, build, and own a data platform from the ground up, shaping the company’s data strategy as it scales.
You’ll step into a hands-on leadership role where you’ll:
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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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.
- Architect and evolve a modern data platform
- Work closely with stakeholders to embed data into core business decisions
- Build scalable pipelines and infrastructure using a cutting-edge stack
- Lay the foundations for a future data team (with hiring on the horizon)
You must be comfortable working across:
- SQL & Python for data processing and transformation
- DBT, Airflow, and Looker for modelling, orchestration, and visualisation
- Cloud infrastructure (AWS preferred; GCP familiarity is a plus)
- Data warehousing solutions like Snowflake or similar


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Why this role stands out
- High autonomy: real ownership, not just oversight
- Early-stage impact: shape how data is used across the business
- Clear growth path: build and lead your own team
Salary: £110,000 – £125,000 + strong benefits
Location: Central London (hybrid – 3 days onsite)
Must be UK-based (no sponsorship available)
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