The Graduate Project
Data Engineer

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💫 Opportunity | Data Engineer 📏 Organisation | Public Sector / Digital Transformation 📍 Location | Hybrid Working 💻 Working Pattern | Full Time 💰 Salary | £50,000 - £60,000
A leading organisation undergoing a significant digital transformation programme is seeking an experienced Data Engineer to join a high-performing technical team. This is an exciting opportunity to play a key role in designing, building, and maintaining modern cloud-based data solutions that support data-driven decision-making across the organisation. Working within an Agile environment, you'll help develop scalable data platforms, optimise data pipelines, and contribute to the delivery of robust, secure, and high-quality data products.
🔹 Key Responsibilities:
- Design, develop and maintain scalable cloud-based data solutions
- Build and optimise ETL and ELT pipelines
- Support the migration of existing data services into cloud environments
- Develop and maintain data products that support reporting and analytics
- Implement CI/CD processes and engineering best practices
- Monitor, troubleshoot and improve data platform performance
- Work closely with technical and business stakeholders to gather requirements and deliver effective solutions
- Ensure data quality, governance, and security standards are maintained
- Contribute to data architecture, documentation, and continuous improvement initiatives
- Collaborate within multidisciplinary Agile delivery teams
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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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 They're Looking For:
- Strong experience with Python and SQL
- Experience building and maintaining enterprise data pipelines
- Experience working with cloud technologies, ideally Google Cloud Platform
- Knowledge of relational databases and data warehousing
- Experience with version control tools such as Git
- Understanding of data modelling principles
- Experience working with large-scale datasets
- Knowledge of workflow orchestration tools
- Strong stakeholder engagement and communication skills
- Experience working within Agile delivery environments


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🔹 Desirable Experience:
- Google Cloud certifications
- Experience with Docker or containerisation technologies
- Exposure to BigQuery, Spark, Dataproc, or similar technologies
- Knowledge of DataOps and DevOps practices
- Understanding of UK GDPR and data governance principles
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