NatWest Group
Data Engineer

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Join us as a Data Engineer
This is an exciting opportunity to use your technical expertise to collaborate with colleagues and build effortless, digital first customer experiences.
You’ll be simplifying the bank by developing innovative data driven solutions, using insight to be commercially successful, and keeping our customers’ and the bank’s data safe and secure. Participating actively in the data engineering community, you’ll deliver opportunities to support the bank’s strategic direction while building your network across the bank.
What you'll do
As a Data Engineer, you’ll play a key role in driving value for our customers by building data solutions. You’ll be carrying out data engineering tasks to build, maintain, test and optimise a scalable data architecture, as well as carrying out data extractions, transforming data to make it usable to data analysts and scientists, and loading data into data platforms.
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.
You’ll Also Be
- Developing comprehensive knowledge of the bank’s data structures and metrics, advocating change where needed for product development
- Practicing DevOps adoption in the delivery of data engineering, proactively performing root cause analysis and resolving issues
- Collaborating closely with core technology and architecture teams in the bank to build data knowledge and data solutions
- Developing a clear understanding of data platform cost levers to build cost effective and strategic solutions
- Sourcing new data using the most appropriate tooling and integrating it into the overall solution to deliver for our customers
The skills you'll need
To be successful in this role, you’ll need a good understanding of data usage and dependencies with wider teams and the end customer, as well as experience of extracting value and features from large scale data.


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You’ll Also Demonstrate
- Experience of ETL/ELT technical design, including building pipelines, data quality testing, cleansing and monitoring, data warehousing and data modelling capabilities
- The ability to use programming languages like SQL and Python, alongside knowledge of data and software engineering fundamentals such as dimensional modelling, data structures, streaming and distributed processing concepts
- Good knowledge of modern code development practices including version control with Git, CI/CD pipelines, infrastructure as code, spec/test-driven development, and agile delivery
- Strong communication skills with the ability to proactively engage with a wide range of stakeholders
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