Tenth Revolution Group
Data Engineer

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Data Engineer
Up to £60,000
We are working with an organisation that is going through an exciting period of growth and continued investment across its technology and data landscape. With data playing an increasingly important role across the business, there is a real focus on strengthening the platform, improving engineering capability and creating a more scalable approach to how data is managed and used.
As part of this investment, they are looking for a Data Engineer to join their Data & Innovation team. This is a great opportunity for someone who wants more than simply to maintain existing pipelines. You will have the chance to work hands-on across the data environment, using your SQL and engineering expertise to build new solutions, improve existing processes and contribute to the evolution of a modern Microsoft-based data platform.
The role offers plenty of variety, with responsibility spanning data pipelines, integrations, transformations and SQL database performance. You will work closely with colleagues across technology as well as teams throughout the wider organisation, understanding their requirements and turning them into reliable, scalable data solutions. There is also scope to identify areas for improvement and make a genuine contribution to how the organisation's data platform develops.
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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Key Responsibilities
- Build and evolve scalable data pipelines using Databricks, playing a key role in the continued growth of the organisation's data platform.
- Bring data together from a variety of sources, developing and refining ETL processes that provide trusted, usable data for reporting, analytics and decision-making.
- Develop high-performing SQL and Python transformations, ensuring solutions are robust, maintainable and capable of supporting future growth.
- Take ownership of SQL development across queries, stored procedures and database objects
- Get involved in the ongoing development of data warehouses, data models and the wider data architecture
Skills & Experience
- Experience working professionally within a Data Engineering environment, with a track record of delivering reliable data solutions.
- Strong practical experience with Databricks and the ability to develop, support and troubleshoot data engineering workloads.
- A solid background in ETL and data integration
- Strong programming capability across SQL and Python
- Experience working with relational databases and modern data architectures, ideally with an understanding of the medallion architecture.


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What's on Offer
- Salary of up to £60,000.
- Hybrid working, with 2 days per week on site.
- The chance to join a growing Data & Innovation team and be part of an exciting period of development.
- The opportunity to work hands-on with modern Microsoft data technologies, including Databricks, SQL, Python and PySpark.
- Real scope to influence how the organisation's data platform develops, with the opportunity to introduce improvements and shape future ways of working.
- A collaborative and varied environment, giving you exposure to a wide range of data, engineering and technology projects.
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