Lorien
Data Engineer (Snowflake & Kafka)

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Data Engineer
London/ Edinburgh (Hybrid)
6 Month Contract
Via Umbrella
Our UK leading banking client are looking for a Data Analyst to join their team on an initial 6-month contract.
Core Technical Requirements
- Strong experience with Snowflake for data warehousing, including writing efficient SQL and managing schemas.
- Proficiency in Airflow for orchestration and workflow management.
- Hands-on experience with AWS services, particularly S3 for storage and Lambda for serverless processing.
- Familiarity with Kafka concepts (producers, consumers, topics) and ability to integrate with streaming data pipelines.
- Solid understanding of data modelling, ETL/ELT processes, and performance optimization.
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.
Programming & Engineering Skills
- Proficiency in Python for data engineering tasks and automation.
- Ability to design and implement scalable, maintainable data pipelines.
- Experience with version control systems (e.g., Git) and collaborative development workflows.
Leadership & Mentorship
- Ability to lead technical initiatives within the team and drive best practices.
- Experience in mentoring junior engineers, providing guidance on coding standards, design patterns, and career development.
- Comfortable with code reviews and fostering a culture of continuous improvement.


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Best Practices & Mindset
- Strong grasp of data quality principles, including validation and monitoring.
- Ability to read, understand, and refactor existing code effectively.
- Familiarity with CI/CD practices for data pipeline deployment.
- Comfortable working in cloud-native environments and following security/compliance standards.
Nice-to-Have
- Exposure to streaming data architectures and event-driven systems.
- Knowledge of Snowflake performance tuning and cost optimization.
If you find this opportunity intriguing and aligning with your skill set, we welcome the submission of your CV without delay.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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