Tenth Revolution Group
Data Engineer

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Data Engineer
Up to £60,000 – Cardiff (2 days per week)
We are partnering with a growing organisation that is investing significantly in its data and cloud capabilities as part of a wider digital transformation programme.
As part of this growth, the business is looking to appoint a Data Engineer to join its expanding Data team. This is an excellent opportunity for a Data Engineer with experience in modern cloud data platforms to play a key role in developing and enhancing a scalable, data-driven environment built around Databricks and Azure technologies.
Working closely with stakeholders across technology and the wider business, you will be responsible for designing, developing and maintaining data pipelines, transforming and integrating data from multiple sources and supporting the delivery of high-quality datasets for reporting and analytics. You will have the opportunity to work with cutting-edge technologies within a collaborative team environment while continuing to develop your technical expertise.
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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This role would suit a Data Engineer who enjoys building robust data solutions, working with large datasets and contributing to the ongoing evolution of a modern cloud data platform.
Key Responsibilities
- Design, build and maintain scalable data pipelines using Databricks and Azure technologies
- Develop and optimise ETL processes to support reporting, analytics and business intelligence requirements
- Work with structured and unstructured data from a variety of internal and external sources
- Support the development and maintenance of data models and data warehouse solutions
- Collaborate with analysts, engineers and business stakeholders to deliver data-driven solutions
- Monitor, troubleshoot and improve data pipeline performance and reliability
- Produce and maintain technical documentation and adhere to engineering best practices
Skills & Experience
- Commercial experience working with Databricks in a data engineering capacity
- Strong SQL development and data manipulation skills
- Experience building and supporting cloud-based data pipelines within Azure environments
- Knowledge of Azure Data Factory, Azure Data Lake or related Azure data services
- Experience developing ETL processes and data integration solutions
- Understanding of data warehousing principles and modern data architectures
- Experience with Python, PySpark or Spark is highly desirable
- Strong problem-solving skills and ability to work collaboratively within a team environment


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What's on Offer
- Salary of up to £60,000
- Hybrid working model with offices in Cardiff
- Opportunity to work with modern data technologies including Databricks and Azure
- Ongoing training and professional development opportunities
- Collaborative and supportive team culture
- Clear career progression within a growing data function
- Excellent benefits package
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