Noir
Senior Quantexa Data Engineer

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Senior Quantexa Data Engineer - Manchester / Hybrid
(Quantexa Data Engineer, Lead Data Engineer, Senior Data Engineer, Data Engineering Manager, Quantexa, Spark, Scala, Python Databricks, DevOps, CI/CD pipelines, Jenkins, GitHub Actions, Azure DevOps, Docker, Kubernetes, Quantexa Data Engineer)
Our client is a global innovator and world leader with one of the most recognisable names within technology. They are looking for an experienced Quantexa Data Engineer with significant experience leading the technical development of Quantexa-based solutions. You will be tasked with designing and implementing robust data pipelines, configuring Quantexa components, and supporting the overall success of client engagements.
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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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We are seeking a Certified Senior Quantexa Data Engineer with significant experience of designing and implementing Quantexa solutions and leading client data engineering or integration projects for established clients.
The successful candidate will have strong knowledge of Spark, Scala and Python Databricks. Any experience of DevOps and CI/CD pipelines, Jenkins, GitHub Actions, or Azure DevOps would be beneficial, as would familiarity with Docker and Kubernetes, but training will be provided.


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We are keen to hear from talented Quantexa Data Engineers from all backgrounds.
This is a truly amazing opportunity to work for a prestigious brand that will do wonders for your career. They invest heavily in training and career development with unlimited career progression for top performers.
Location
Manchester / Hybrid
Salary
£60k - £75k + Car + Pension + Benefits
To apply for this position please send your CV to Nathan Warner at Noir Consulting.
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