Lawrence Harvey
Senior Data Engineer

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Data Engineer (Databricks) – Marketing Analytics
A global leader in the mobility and vehicle rental sector is looking for a Data Engineer with strong Databricks expertise to design, build and maintain the data pipelines powering its marketing analytics and decision-making, as part of a large-scale, greenfield marketing data transformation programme.
The successful applicant will build and optimise data pipelines pulling from a wide range of sources including Salesforce and other systems into a unified Databricks lakehouse, creating a single source of truth across brand, paid media, social and CRM data. You'll work closely with marketing, analytics and data stakeholders to develop feature sets and data models that support dashboards, attribution and marketing mix modelling across the platform.
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.
Location: Uxbridge, three days per week in the office
Salary: Up to £72,000 + 10% Bonus + Benefits
Requirements
- 3 years of experience working with Databricks, building and maintaining scalable data pipelines and lakehouse architecture
- Proficiency integrating data from multiple marketing and enterprise platforms (e.g. GA4, Salesforce, CRM/martech tools)
- Advanced SQL and strong Python skills, with the ability to build features and data models that support analytics and data science use cases
- Experience with (or strong interest in) attribution modelling, MMM or marketing analytics data structures


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This is a high-impact, greenfield role at the heart of a major marketing data transformation. If you're ready to build a marketing data platform from the ground up and bridge data engineering with analytics and data science, please apply via the link below.
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