How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Mid/Senior-Level Data Engineer, Asset Manager, London [Onsite]
We are working with a specialist asset manager, with a long track record of performance, that is looking to hire a data engineer to join its lean but growing global tech team. In this role, the hire would be central to a major investment data transformation programme, transforming and modernising the firm’s investment systems, data, and reporting capabilities while helping shape the firm’s future data and AI strategy.
The preferred candidate will have strong technical foundations, enjoy working with complex datasets and be comfortable working with a broad range of technical and non-technical stakeholders. This is a great opportunity for a proactive, entrepreneurial data specialist who likes to tackle complex, high-value data challenges and enjoys working at the heart of the investment business.
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.
Responsibilities:
- Design and build scalable data solutions to support investment operations, reporting, analytics, and AI initiatives.
- Migrate and integrate complex investment data from legacy vendor platforms into a modern enterprise data architecture.
- Work closely with business and technology stakeholders to understand requirements and deliver effective data-driven solutions.
- Ensure data quality, performance, and operational reliability across critical financial datasets and reporting processes.
Requirements:
- 4+ years’ experience in data engineering working across the entire data lifecycle.
- Proficiency in SQL, Python, Sigma / Power BI (or other business intelligence platforms); experience with Snowflake and data ETL processes.
- Experience working with complex financial datasets and a solid understanding of investment, accounting, performance, or risk data.
- Strong communication and stakeholder management skills, able to work effectively with both technical and non-technical audiences.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Due to demand, we are advertising this role anonymously. If you would prefer to speak to someone before submitting a CV, please send a blank application to the role and someone will be in touch to discuss.
We can only respond to highly qualified candidates.
“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
Skills
Location