Experis UK
Data Engineer – Snowflake / Portfolio Suitability Programme

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Job Title: Snowflake Data Engineer
My leading client is seeking an experienced Snowflake Data Engineer to join a strategic Portfolio Suitability Programme within a leading wealth and investment management environment.
This is an exciting opportunity to work on a high-profile data transformation initiative focused on portfolio suitability, investment governance, client outcomes, and regulatory compliance. Candidates with direct experience delivering data solutions on portfolio suitability, suitability assessments, investment management, wealth management platforms, or related regulatory programmes will be highly advantageous.
Key Responsibilities
- Design, develop, and maintain scalable data solutions supporting a Portfolio Suitability Programme.
- Build and optimise data pipelines for market, portfolio, client, and suitability datasets.
- Develop robust data models to support reporting, analytics, regulatory requirements, and AI-driven insights.
- Integrate and manage large-scale market and time-series data sources.
- Collaborate with business stakeholders, architects, product owners, and delivery teams to translate business requirements into technical solutions.
- Ensure data quality, governance, lineage, and consistency across multiple platforms.
- Support the adoption of AI-enabled capabilities within the data ecosystem.
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.
Required Technical Skills
- Snowflake (expert level)
- Cortex AI (Snowflake Cortex AI)
- Star Schema Data Modelling
- Market Data integration and management
- Time-Series Data engineering and modelling
- Dbt (Data Build Tool)
- Claude Code
- Data warehousing and ETL/ELT development
- SQL and performance optimisation
- Cloud-based data engineering experience


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Highly Desirable Experience
- Wealth Management or Private Banking experience
- Investment Management platforms and data
- Portfolio Suitability programmes
- Suitability monitoring and assessment frameworks
- Investment performance and analytics data
- Regulatory programmes impacting wealth or investment management
- Front-office, investment, or advisory data domains
If this sounds of interest please send me your cv for more information.
“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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