McCabe & Barton
Senior Data Engineer

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Leading Financial Services Client
Job Opportunity: Senior Data Engineers
A leading Financial Services client is currently undergoing a significant data transformation and is seeking to hire several Senior Data Engineers to join them on this exciting journey. The roles offer a base salary between £55,000 and £75,000, along with a strong benefits package and flexible working arrangements.
About the Role
Our client is looking for strategically minded Data Engineers who are naturally curious and understand a business’s drive to implement new data sources, data flows, automated processes, and database structures.
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.
Start with a chat, not a search bar
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
- Building data sources, data flows, automated processes, and database structures.
- Building and managing a Snowflake ecosystem to support streaming and batch workflows, allowing end user teams to access data, build reports, and leverage automation tools.
- Supporting the adoption of GenAI tools and techniques and leading platform innovation with Snowflake and Microsoft.


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Ideal Experience & Background
- Strong experience with Snowflake (SQL scripting DDL and DML).
- Good knowledge of Azure Data Factory and Azure DevOps.
- Experience with Python.
- Experience working in an Agile environment.
If you are an experienced Senior Data Engineer with the required skills, please respond with an up-to-date version of your CV for review.
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Jessica, London
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