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Lorien

Data Engineer (Snowflake & Kafka)

London
Posted about 23 hours ago
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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.

Start with a chat, not a search bar

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.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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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It searches the market for you

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.

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Strong

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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Strong

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.

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Skills

Snowflake
Kafka
Airflow
AWS S3
AWS Lambda
Python
SQL
ETL/ELT
Data Modelling
Git
CI/CD
Data Quality
Performance Optimization
Technical Leadership
Mentoring
Streaming Data Pipelines

Location

London, England, United Kingdom

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