Blue Wolf Digital
Snowflake Consultant

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Snowflake Consultant (multiple - different levels)
Remote (UK Based)
£40,000-85,000
This is a senior, client-facing role that blends hands-on engineering with solution design and technical leadership. You will own the design of end-to-end data solutions – from requirements, through architecture, to delivery – while mentoring colleagues and helping to shape the direction of their engineering practice.
Key Skills & Experience
Core engineering
- Highly experienced in SQL and Python
- Strong hands-on experience with one or more cloud data platforms (e.g. Snowflake, Databricks, Microsoft Fabric, Azure, GCP)
- Experience with data integration / ELT tooling (e.g. dbt, Fivetran, Hevo, Matillion, Azure Data Factory)
- Dimensional data modelling and data warehouse / lakehouse design
- Software engineering best practice: version control (Git), CI/CD, automated testing, and modular, reusable code
Solution design & architecture
- Translating business requirements into clear, end-to-end technical solution designs
- Designing scalable, secure and maintainable data architectures across ingestion, transformation, storage and serving layers
- Producing solution design documentation, architecture diagrams and technical proposals and estimates
- Evaluating and recommending platforms and tools, including build-vs-buy decisions, with clear justification
- Balancing trade-offs across cost, performance, security, scalability and time-to-value
- Running discovery and requirements workshops with both technical and non-technical stakeholders
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.
Data quality, governance & operations
- Data governance, security, quality and compliance (e.g. GDPR)
- Cloud cost optimisation (FinOps) and performance tuning
- DataOps: orchestration, monitoring, and reliable, repeatable deployments
AI-ready data & modern analytics
- An understanding of how well-engineered data underpins AI and analytics use cases
- Awareness of GenAI / LLM concepts and agentic AI, and an interest in building “AI-ready” data foundations (e.g. Snowflake Cortex, Databricks AI, Microsoft Fabric / Copilot) – desirable
- Awareness of downstream BI and semantic layers (e.g. Power BI, Qlik) in order to design fit-for-purpose serving layers
Consulting & personal
- Confident communicator, able to present to and build trust with client stakeholders
- Self-starter and problem solver with a strong sense of ownership
- Good time management across concurrent client engagements
- Appetite to continually learn new technologies and techniques
- Willingness to mentor and develop more junior colleagues
Desirable
- Relevant certifications, e.g. SnowPro, Databricks, dbt, or Microsoft Fabric / Azure (DP-series) or equivalent
- Infrastructure as Code experience (e.g. Terraform)
- Prior consultancy or client-facing delivery experience


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Responsibilities
- Lead the delivery of customer projects – both technically, and by managing the project, the client relationship and more junior colleagues
- Own solution design: run discovery, capture requirements, and design end-to-end architectures, producing solution design documents and estimates
- Provide technical leadership and expertise on data engineering within the services team, supporting the Technical Director in developing and expanding the team’s capability
- Configure and manage client cloud platforms (e.g. Snowflake)
- Collaborate with customer stakeholders and analyse user requirements
- Create clear functional and technical documentation
- Deliver solutions aligned to industry best practice, and help establish reusable standards, frameworks and accelerators
- Ensure the quality of solutions through code reviews and testing
- Mentor and support the development of more junior colleagues
- Contribute to pre-sales activity – scoping, estimating, and building and demoing PoCs to prospects (on occasion)
- Work with the support team to help resolve tickets (on occasion)
- Keep your skills current with emerging technologies, including AI and GenAI
- Travel to client site (on occasion)
“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.”
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