Hatched Recruitment Group
Lead Data Engineer

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Lead Data Engineer
Are you an experienced Lead Data Engineer looking to shape the future of a modern cloud data platform? This is an exciting opportunity to join a growing technology business where you'll provide technical leadership, define engineering best practices, and help build scalable, high-performing data solutions.
As a senior individual contributor, you'll act as the technical authority within the Data Engineering team, working closely with senior leadership to define architecture, improve platform performance, and mentor engineers. This role focuses on technical excellence rather than people management.
The Role
You'll be responsible for:
- Leading the technical design and implementation of scalable data pipelines, warehouse models, and transformations.
- Owning the day-to-day technical direction of the cloud data platform, ensuring solutions are performant, reliable, and cost-effective.
- Defining engineering standards, code quality, CI/CD processes, and best practices across the team.
- Driving improvements in data quality, observability, monitoring, and governance.
- Providing technical leadership through design reviews, mentoring, and knowledge sharing.
- Working closely with Analytics, Data Science, and Platform Engineering teams to deliver scalable data solutions.
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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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.
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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.
About You
You'll bring:
- Extensive experience in Data Engineering and modern cloud data platforms (AWS preferred).
- Strong SQL expertise and experience with dbt or similar ELT tools.
- Experience building and optimising scalable data pipelines and data warehouses.
- Knowledge of AWS technologies such as Redshift, S3, and Athena.
- Experience with Airflow, Fivetran, or similar orchestration and integration tools.
- Strong Linux/Unix and Bash scripting skills.
- A solid understanding of data quality, governance, lineage, and monitoring.
- Excellent problem-solving skills and the ability to influence technical direction across engineering teams.


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What's on Offer?
- Competitive salary and comprehensive benefits package.
- Hybrid working with a collaborative London office.
- The opportunity to shape a modern cloud data platform within a growing technology business.
- Genuine technical ownership and career progression.
- 25 days holiday plus bank holidays (increasing with service).
- Private healthcare, dental cover, pension, life assurance, and income protection.
- 4pm finish every Friday.
- Enhanced parental leave, Employee Assistance Programme, regular social events, and a £150 home office allowance.
If you're passionate about designing scalable data platforms, mentoring engineers, and driving technical excellence, we'd love to hear from you.
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