BrightBox Group
Azure Data Engineer

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Azure Data Engineer
Location: Primarily Remote (Occasional travel to Mansfield)
Contract Length: 3 Months
Rate: £450 (Inside IR35)
We are seeking an experienced Azure Data Engineer to join a high-profile programme within the energy sector. This is an excellent opportunity to play a key role in designing, building and supporting a modern Azure data platform that enables secure, scalable and governed data solutions.
The Role
As an Azure Data Engineer, you will be responsible for building and operating an Azure-based data platform, ensuring it provides a secure, scalable and trusted data lake using Azure Databricks.
Working alongside data architects and engineering teams, you will help deliver new data products, onboard data sources and contribute to the ongoing data platform roadmap.
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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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
- Build, operate and optimise an Azure data platform using Azure Databricks.
- Design and support Azure infrastructure for data storage, processing, integration and external data sharing.
- Implement data governance, security, access controls, backup, retention and monitoring to maintain the data lake as a trusted single source of truth.
- Develop and maintain data ingestion, transformation and data product pipelines.
- Collaborate with data architects and engineers to onboard new data sources and deliver business-critical data products.
- Support the ongoing development and delivery of the ATLAS data roadmap.
- Ensure solutions follow best practices for automation, Infrastructure as Code and CI/CD.


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Essential Skills & Experience
- 5+ years' experience as an Azure Data Engineer.
- Strong experience with Azure Databricks.
- Azure Data Lake Storage (ADLS).
- Azure Data Factory (ADF).
- Python.
- SQL.
- Azure DevOps.
- CI/CD pipelines.
- Infrastructure as Code using Terraform and/or Bicep.
- Data governance, security and access control.
- Experience designing and supporting enterprise-scale Azure data platforms.
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