twentyAI
Senior Data Engineer (Snowflake) - Private Markets, London - TWE47522
Get notified of more jobs like this · No spam, ever
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
The Opportunity
We are working on a unique search for a Private Markets Investment Firm in London looking to appoint an experienced Lead Data Engineer to take ownership of its enterprise data platform in a completely new greenfield build out.
This is a high impact opportunity to play a central role in the development of a modern, cloud-based data infrastructure within a specialized investment environment.
The successful candidate will be responsible for designing, building, and managing a Snowflake-based data platform that brings together investment, portfolio, financial, and operational data into a single, trusted source of information.
Working closely with senior technology and business stakeholders, you will combine hands-on engineering with architectural ownership, helping establish the foundations for advanced analytics, investment reporting, automation, and AI-driven capabilities.
This role would suit a technically strong Data Engineer who enjoys building platforms, solving complex integration challenges, and taking genuine ownership of the technology they deliver.
Key Responsibilities
Data Platform Architecture & Engineering
- Lead the design, development, and ongoing management of a Snowflake-based enterprise data platform.
- Develop scalable data architectures using modern data modelling principles, including medallion architecture (bronze, silver, and gold layers).
- Build and maintain robust ingestion pipelines integrating multiple internal applications, external data providers, and third-party administrators.
- Establish data governance, quality, security, and lineage frameworks to ensure the integrity and reliability of investment data.
- Implement infrastructure as code, automated deployment processes, and CI/CD best practices.
Data Integration & Investment Data Management
- Lead the integration of portfolio management, fund administration, market data, and financial reporting systems.
- Design and maintain security master and reference data models covering financial instruments, issuers, and counterparties.
- Develop data reconciliation, validation, and exception management processes across multiple data sources.
- Build governed datasets supporting investment positions, exposures, cash flows, liquidity, counterparties, and fund accounting.
- Work closely with investment, finance, risk, and technology teams to translate business requirements into scalable technical solutions.
Reasons to use Rodeo
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.
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.
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.
Platform Ownership & Innovation
- Take end-to-end responsibility for platform performance, reliability, security, and cost optimization.
- Develop data models and semantic layers supporting Power BI, management reporting, and investment analytics.
- Support the adoption of AI and automation by making high-quality, governed data accessible to emerging applications and intelligent workflows.
- Establish best practices around data engineering, documentation, monitoring, and operational resilience.
- Collaborate with external technology partners while maintaining internal ownership of architecture and technical decisions.
Skills & Experience
Essential
- Extensive hands-on experience designing, implementing, and managing Snowflake data platforms in production environments.
- Strong SQL and Python skills, with experience developing complex data pipelines and transformation frameworks.
- Proven experience in financial services, ideally within investment management, asset management, private markets, or fund administration.
- Strong understanding of financial datasets, including positions, transactions, cash flows, valuations, and reference data.
- Expertise in data modelling, data warehousing, master data management, and modern cloud-based architectures.
- Experience with Azure cloud technologies and associated data engineering services.
- Strong understanding of APIs, data ingestion, third-party integrations, and data reconciliation.
- Experience with Git, CI/CD, infrastructure as code, automated testing, and platform monitoring.
- Ability to engage confidently with senior stakeholders and independently own technical architecture and delivery.
Desirable
- Experience within private credit, direct lending, alternative investments, or broader private markets.
- Familiarity with loan administration, portfolio accounting, or investment management platforms.
- Exposure to market data providers such as ICE, Bloomberg, or equivalent.
- Experience with Power BI, dbt, and data catalogue or lineage tools.
- Knowledge of Snowflake Cortex, AI/LLM data integration, or advanced analytics use cases.
- Understanding of financial services regulatory requirements, including DORA and GDPR.
- Previous experience building a data platform from the ground up or leading a significant data transformation programme.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Why Consider This Opportunity?
- Significant ownership: Take responsibility for a strategically important enterprise data platform, from architecture through to delivery and ongoing development.
- Modern technology stack: Work extensively with Snowflake, Azure, Python, and modern data engineering tools.
- Direct senior exposure: Collaborate closely with technology leadership and key investment, finance, and risk stakeholders.
- Greenfield engineering: Shape the technical standards, architecture, and engineering practices rather than simply maintaining an established environment.
- Private markets exposure: Work with complex investment datasets in a specialist financial services environment.
- AI and automation: Contribute to the development of a data foundation supporting next-generation investment analytics and intelligent automation.
The Ideal Candidate
We are particularly interested in speaking with experienced Senior/Lead Data Engineers who have delivered Snowflake platforms within financial services.
You will be equally comfortable defining architecture, writing production-quality code, integrating complex data sources, and engaging with senior business stakeholders.
A background in investment management or private markets would be highly advantageous, particularly where you have worked with portfolio, fund accounting, or loan administration data.
Above all, this opportunity requires someone who enjoys building, takes accountability for delivery, and wants to play a meaningful role in shaping a modern investment technology environment.
“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
Location