Oliver Bernard
Head of Data Engineering

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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 now hiring a Head of Data Engineering to lead that transformation
This is a role with genuine ownership. You won’t inherit legacy systems or patchwork pipelines - you’ll design and build a modern data platform from scratch, set engineering standards, and define the long-term data strategy as the company scales.
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.
What you’ll take on
- Architect, deliver, and evolve a next-generation data platform
- Partner with senior stakeholders to embed data into core commercial and operational decisions
- Build robust, scalable pipelines and cloud infrastructure using a modern engineering stack
- Establish the foundations for a future data function, with hiring planned as the platform matures
Core technical environment
- SQL & Python for processing, transformation, and automation
- dbt, Airflow, Looker for modelling, orchestration, and analytics
- AWS as the primary cloud environment (GCP exposure beneficial)
- Snowflake or equivalent warehousing technologies


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Why this role is different
- High autonomy: You’ll own the platform, the roadmap, and the engineering direction
- Early-stage influence: Shape how data is used across the entire organisation
- Clear progression: Build and lead your own team as the function scales
Salary
£110,000 – £125,000 + strong benefits
Location
Central London (hybrid – 3 days onsite)
Must be UK-based (no sponsorship available)
“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
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