Oscar
Senior Analytics Engineer
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Senior Analytics Engineer
Location: London (Hybrid)
Salary: £75,000 - £95,000 DOE
Industry: Investment Management
The Opportunity
I'm currently working with a leading global private markets investment firm, as they continue to invest in and expand their internal data capability. With over €20 billion of assets under management and investment strategies spanning Europe and North America, they are committed to using technology and data to drive smarter decision-making and long-term value creation.
As part of an exciting period of growth, they're looking to hire a Senior Analytics Engineer to play a key role in building out their data function. You'll help shape the firm's modern analytics platform, working across Microsoft Fabric, Power BI and AI-enabled solutions to deliver trusted, scalable data products that support investment teams and business stakeholders.
This is an excellent opportunity to join a business at the start of its data transformation journey, where you'll have genuine influence over architecture, governance and the future direction of analytics.
Key Responsibilities
- Design, build and maintain scalable data solutions using Microsoft Fabric.
- Develop robust ELT/ETL pipelines and data models to support reporting and analytics.
- Deliver high-quality Power BI dashboards and semantic models for business users.
- Champion data governance, data quality and best practices across the organisation.
- Work closely with investment, finance and operational stakeholders to understand business requirements.
- Help establish a trusted, centralised data platform and single source of truth.
- Explore and implement AI-driven capabilities to improve reporting, automation and business insight.
- Optimise performance, reliability and scalability across the analytics environment.
- Produce clear technical documentation and promote engineering best practices.
- Support the continued growth and maturity of the wider data function.
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.
Essential Skills & Experience
- Previous experience as an Analytics Engineer, BI Engineer, Analytics Developer or similar.
- Strong experience with Microsoft Fabric.
- Advanced SQL skills and experience designing scalable data models.
- Strong Power BI development experience, including semantic modelling and DAX.
- Good understanding of data governance, data quality and metadata management.
- Experience building modern data platforms and analytics solutions.
- Strong stakeholder management and communication skills.
- Ability to translate business requirements into robust technical solutions.
- Experience working with cloud-based data platforms.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Desirable Skills
- Experience within Asset Management, Private Equity, Financial Services or another regulated environment.
- Exposure to AI technologies, Copilot or Generative AI use cases within analytics.
- Knowledge of data architecture and modern Microsoft data technologies.
- Experience implementing governance frameworks and best practices.
- Understanding of security, compliance and data privacy within enterprise environments.
- Passion for building data capabilities within a growing team.
Package & Benefits
- £75,000 - £95,000 salary (depending on experience).
- Hybrid working from the London office.
- Opportunity to join and help build a growing data team.
- Work with modern technologies including Microsoft Fabric, Power BI and AI.
- Significant influence over the organisation's data strategy and analytics capability.
- Exposure to senior stakeholders across the investment business.
- Excellent long-term career progression within a highly regarded international investment firm.
“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