Maxwell Bond
Data Engineer

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Data Engineer
(SQL, Python, AWS, Data Products)
Location
Greater Manchester (Hybrid – 2 days onsite)
Salary
up to £50,000 + Bonus
We’re working with a Manchester-based technology and market research company that uses data and technology to deliver insight for some of the world’s leading brands. As the business continues to grow, they’re expanding their engineering and machine learning capabilities and are looking for a Data Engineer to join their Products team.
It’s a hands-on role where you’ll be working with large and complex datasets and helping to build and maintain data products used across analytics and machine learning.
You’ll work alongside Data Engineers, Machine Learning Engineers, and Product teams, getting stuck into data issues, improving data quality, and making sure the products being delivered are reliable and ready for production.
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.
What will make you succeed in this role:
- Commercial or practical experience working with data engineering, data analysis, or data products.
- Strong SQL skills and experience working with relational or large-scale datasets.
- Experience using Python for data processing, analysis, or automation.
- Strong analytical and problem-solving skills, with the ability to investigate data and identify the root cause of issues.
- A genuine interest in data engineering and building reliable, high-quality data products.
- Good communication skills and the ability to collaborate with technical and non-technical teams.
Nice to have:
- Experience with AWS, particularly S3 or Athena.
- Experience with Apache Spark or similar distributed data processing technologies.
- Experience working with machine learning datasets or production ML systems.
- Experience with data validation, testing, or data quality frameworks.


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What's in it for you:
- Salary up to £50,000 + Annual Bonus
- Hybrid and flexible working – 2 days onsite per week in their Manchester office
- 25 days' annual leave plus bank holidays
- Life assurance
- Workplace pension
- Home office budget
- Learning & Development budget, including paid certifications
If you're a Data Engineer with strong SQL and Python skills who enjoys solving data problems and wants to work closer to data products and machine learning, this could be a fantastic opportunity for you!
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