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Big Data Lead

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Job Title: Snowflake Data Engineer
About the Role
We are looking for a Snowflake-focused Data Engineer to design, build, and optimize scalable ELT/ETL pipelines and data models on Snowflake. You will partner with data analysts, platform engineers, and product teams to deliver reliable, cost-efficient, and secure data solutions that power analytics and applications.
Tech Stack
Replace or expand this section with your sample stack:
- Snowflake (warehouses, tasks, streams, Snowpipe, resource monitors)
- SQL, Python, dbt
- Orchestration: Airflow
- Cloud: AWS or Azure or GCP
- Ingestion: Fivetran or Matillion or Informatica
- IaC: Terraform (Snowflake provider)
- CI/CD: Git, GitHub Actions or Azure DevOps or GitLab CI
- Data quality: dbt tests or Great Expectations
- Observability: Snowflake query history, information schema, Datadog or CloudWatch
- Security & governance: RBAC, SSO, masking, row-access policies
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.
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.
See breakdownIt 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.
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.
Key Responsibilities


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- Design, build, and maintain scalable ELT/ETL pipelines in Snowflake using best practices for performance, reliability, and cost control.
- Develop robust data models (dimensional and/or Data Vault) to support analytics and data products.
- Implement orchestration and scheduling for data workflows, ensuring SLA adherence and recoverability.
- Optimize Snowflake performance and cost (warehouse sizing, auto-suspend, clustering, micro-partitioning, caching, query profiling).
“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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