Harnham
Data Engineering Lead

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Data Engineering Lead
Competitive Salary + Benefits
Location: London (Hybrid)
This is a great opportunity to join a high-growth consumer business where you can take ownership of building and scaling a company-wide data function from the ground up.
THE COMPANY:
This rapidly growing consumer brand has transformed its market through an innovative product offering sold internationally. The business has evolved from a direct-to-consumer e-commerce model into a sophisticated multi-channel organisation spanning e-commerce, retail, wholesale, subscriptions, and strategic partnerships.
Having experienced significant year-on-year growth, the company is investing heavily in becoming a truly data-driven organisation, creating an opportunity for a data specialist to shape the future of analytics, reporting, and decision-making across the business.
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.
THE ROLE:
You will take ownership of the company's data infrastructure, analytics capability, and reporting landscape while helping to build a data-driven culture across the organisation.
Key Responsibilities Include:
- Designing, building, and maintaining scalable data pipelines
- Developing and improving the data warehouse, semantic layer, and reporting environment
- Supporting analytics, reporting, and dashboard development across commercial teams
- Integrating new data sources, including subscription and operational data
- Driving automation, governance, documentation, and data literacy across the organisation
- Managing relationships with external analytics partners and vendors
- Improving customer tracking and marketing analytics capabilities
- Supporting the adoption of AI-enabled analytics and reporting workflows


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YOUR SKILLS AND EXPERIENCE:
You will bring strong capability in:
- Modern cloud data warehouse environments
- dbt, ETL/ELT pipelines, and data integration
- BI reporting and dashboard development
- Data modelling, analytics, and stakeholder management
- Commercial and customer data analysis
- Experience within e-commerce, DTC, SaaS, or high-growth consumer businesses
- Experience building data functions in scaling businesses
THE BENEFITS:
You will receive a salary up to £90,000 depending on experience.
HOW TO APPLY:
Please register your interest by sending your CV to Molly Bird via the apply link on this page.
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