Zealous Agency
Data Engineer

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Senior Data Engineer
Salary: Up to £60,000-£70,000 Location: West Midlands (Hybrid)
Join a team working on a critical enterprise data platform that drives the entire business. This is an opportunity to shape and revolutionise the data platform—not just maintain it.
You’ll design and architect scalable, secure pipelines using Microsoft Fabric and Azure, turning intricate technical needs into solutions that significantly advance the business. You’ll thrive in architecture discussions and engaging with SQL or PySpark.
You’ll collaborate across functions—partnering with BI, Operations, and senior leadership—to modernise the business’s data infrastructure, covering storage, transfer, and usage. Passion for impact matters more than keeping the lights on Here’s where you’ll build what truly makes a difference.
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.
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About the Role
Design, build, and maintain scalable data solutions that empower the organisation. Partner closely with technical and non-technical stakeholders to deliver robust data pipelines and ensure the enterprise platform stays fit for the future. This role will underpin critical reporting, analytics, and innovation initiatives.
Responsibilities
- Architecture and implementation of scalable data pipelines within Microsoft Fabric and Azure
- Collaboration across teams (BI, operations, senior leadership) to modernise data infrastructure
- Ensuring enterprise-grade data quality, reliability, and security
- Mentoring and guiding junior engineers and stakeholders on best practices


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Requirements
Core Skills:
- 3-5 years’ experience in data engineering, with proficiency in advanced SQL and robust data modelling
- Hands-on experience with Azure Data Factory and other Azure data ecosystem services
- Familiarity with data architecture principles
- Ability to mentor junior colleagues
Nice-To-Haves:
- Experience with Python or PySpark for heavy-lifting data processing and transformation
- Hands-on experience with Power BI and semantic modelling
If you’re ready to drive meaningful progress and shape platforms that actually get used, apply now with your CV!
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