Amtis - Digital, Technology, Transformation
Senior Data Engineer

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Senior Data Engineer – Azure/Databricks
£70,000 + bonus
Hybrid Working – 1 day on-site per week
East Midlands based
I'm working with a business that's continuing to invest in its Azure data platform and is looking for a Senior Data Engineer to help shape and develop its modern data estate.
You'll play a key role in designing and building scalable Azure data solutions, developing robust data pipelines, and supporting a growing analytics platform. Working across Azure Databricks, Data Factory, Synapse Analytics, and Azure SQL, you'll help deliver reliable, secure, and high-performing data solutions while collaborating closely with technical and business stakeholders. This is an opportunity to work with modern Azure technologies in a business that values innovation and continuous improvement.
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.
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
- Design and develop scalable Azure data pipelines and ETL solutions
- Build and optimise Azure-based data warehouses and data lakes
- Improve platform performance, reliability, and scalability
- Collaborate with business and technical stakeholders to deliver data solutions
- Support data governance, security, and best practice across the platform
- Contribute to the continuous evolution of the Azure data platform


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Key experience
- Azure Databricks
- Azure Data Factory
- Azure Synapse Analytics
- Azure Data Lake Storage
- Advanced SQL and Python
- CI/CD with Azure DevOps
- Strong stakeholder engagement and communication skills
What's on offer
- Flexible hybrid working environment
- Opportunity to influence and develop a modern Azure data platform
- Work with the latest Azure technologies in a collaborative team with genuine investment in both people and technology
- Excellent benefits package
If you'd be interested in finding out more, or know someone who could be a good fit, please get in touch.
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