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Lou Test 25 TEMPLATE - Data Engineer 1, Level F

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Job Title: Data Engineer
Location: London (Onsite/Hybrid)
About the Role
We are seeking a skilled Data Engineer to join our team in London. In this role, you will be responsible for maintaining and enhancing our data platforms, ensuring robust data processing and seamless operations. You will leverage your expertise in PySpark to support our pipelines and deliver high-quality data solutions.
Key Responsibilities
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.
- Maintain and optimize data platforms to ensure reliable performance
- Develop, test, and deploy data pipelines using PySpark
- Collaborate with data analysts, scientists, and cross-functional teams to meet business requirements
- Monitor data workflows and troubleshoot issues as they arise
- Ensure data quality, integrity, and security standards are upheld
Requirements
- Bachelor’s degree in Computer Science or related field
- Proven experience working with PySpark
- Strong understanding of maintaining and optimizing data platforms
- Excellent problem-solving skills
- Effective communicator and team player


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Benefits
- Competitive compensation
- Opportunities for professional growth
- Collaborative and innovative work environment
If you are passionate about data engineering and have experience with PySpark, we encourage you to apply!
“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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