LT Harper Recruitment Group
Data Engineer

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Data Engineer
Please Note: Due to the Exciting nature of this work, Applicants must hold a valid British passport - Duel Nationality wont be accepted - sorry
Salary: £45k - £60k
Location: London - Hybrid
We are seeking a Data Engineer to join a growing technology consultancy delivering secure, data-driven solutions.
You’ll work on complex and meaningful projects, designing and building scalable data platforms, pipelines and engineering solutions that support analytics, intelligence and decision-making. This is an opportunity to join an agile organisation where you can make a real impact, work with talented people and immerse yourself in super interesting engagements.
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.
Key Responsibilities
- Design, develop and maintain data pipelines and engineering solutions
- Work with clients to understand requirements and translate business challenges into technical solutions
- Build ETL/ELT processes and integrate data from multiple structured and unstructured sources
- Design data models, schemas and architectures to support analytics and intelligence use cases
- Improve data quality, governance and security across data solutions
- Support cloud-based, hybrid and on-premise data platforms
- Contribute to technical discussions, client engagements and solution design


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Essential Experience
- 3+ years’ commercial experience in data engineering
- Strong Python and SQL skills
- Experience with ETL/ELT processes and data pipeline development
- Experience working with cloud platforms such as AWS, Azure or GCP
- Knowledge of technologies such as Spark, Kafka, Airflow or similar
- Experience with databases, data modelling and data warehouse solutions
- Understanding of CI/CD, software engineering best practices and secure development
- Strong communication skills and experience working with stakeholders
- Eligible for UK Security Clearance or willing to undergo the process
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