N Consulting Global
Snowflake Consultant

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Role: Snowflake Consultant
Location: London
Permanent Role
Work Mode: Remote with occasional office visit
Key Responsibilities
- Design and implement Snowflake data warehouse and cloud data platform solutions.
- Develop scalable data models, schemas, tables, views, stored procedures, and SQL queries.
- Perform data migration from legacy/on-premise platforms to Snowflake.
- Develop and optimise ETL/ELT pipelines for ingestion and transformation.
- Work with large datasets and optimise Snowflake performance and query execution.
- Implement Snowflake security, including RBAC, roles, privileges, masking and data access policies.
- Configure and manage Snowflake warehouses, databases, schemas and resource utilisation.
- Implement Snowflake Streams, Tasks, Snowpipe and Dynamic Tables where appropriate.
- Integrate Snowflake with cloud services and data integration platforms.
- Work with AWS/Azure/GCP data services and cloud storage.
- Develop data solutions using SQL and Python.
- Monitor and troubleshoot data pipelines, performance and data quality issues.
- Support data governance, metadata management and compliance requirements.
- Collaborate with Data Architects, Data Engineers, BI Developers and business stakeholders.
- Provide technical documentation and support knowledge transfer to development 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.
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.
Mandatory Skills
- Strong hands-on experience with Snowflake.
- Excellent SQL skills.
- Strong understanding of cloud data warehousing and data lake architectures.
- Experience in ETL/ELT development and data migration.
- Experience with Snowflake performance tuning and optimisation.
- Strong knowledge of Snowflake security and RBAC.
- Experience with Snowflake Streams, Tasks, Snowpipe and Dynamic Tables.
- Good understanding of data modelling, including dimensional modelling.
- Experience with Python for data engineering/automation.
- Experience with at least one major cloud platform: AWS, Azure or GCP.
- Experience with data integration tools such as Azure Data Factory, Informatica, Matillion, Talend or similar.
- Strong understanding of data quality, governance and lineage.


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Desirable Skills
- Experience with dbt and modern ELT frameworks.
- Experience with Apache Airflow or similar orchestration tools.
- Knowledge of Kafka or other real-time data ingestion technologies.
- Experience with Power BI, Tableau or other BI platforms.
- Knowledge of CI/CD and DevOps practices for data platforms.
- Snowflake certifications would be advantageous.
“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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