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About the Role
An innovative organisation in the technical consultancy space is looking for a Data Engineer. You will join a collaborative team of technology experts to develop and deliver bespoke solutions that solve real-world problems for a diverse range of public and private sector clients.
What You'll Be Doing
- Designing and building robust data models and schemas to support complex business requirements.
- Developing and maintaining data ingestion and processing systems using tools such as SQL, NoSQL, and ETL frameworks.
- Implementing data storage solutions across relational, non-relational, and cloud-based databases.
- Collaborating with cross-functional teams and clients to identify and resolve data-related issues and opportunities.
- Staying updated with the latest trends in the modern data stack, big data technologies, and cloud computing.
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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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
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.
What We're Looking For
- Proven experience working within data engineering teams on cloud infrastructure such as AWS or Azure.
- Strong proficiency in SQL and relational databases like PostgreSQL or MS SQL.
- Hands-on experience with frameworks such as Flask, Django, or Tornado, and containerisation using Docker.
- Familiarity with ETL pipeline tools like Airflow, Luigi, or Argo and big data technologies like Apache Spark.
- Ability to prepare data for predictive modelling while ensuring high data quality and GDPR compliance.


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What's On Offer
- Opportunity to work on a broad range of projects across various industries to accelerate career progression.
- A flat organisational structure that values independence, trust, and professional expertise.
- Exposure to a modern technology stack and high-profile public and private sector clients.
- A collaborative and agile working environment focused on high-quality delivery.
- Support for continuous learning and development in the field of data engineering.
How to Apply
Apply via Hyra to be considered for this opportunity.
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