Oscar
Analytics Engineer

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Analytics Engineer
Location: London (Hybrid)
Salary: Up to £100,000 DOE
Industry: Private Equity
The Opportunity
I'm currently working with a leading global private equity firm that is looking to hire an experienced Analytics Engineer to join its data function.
The organisation manages a significant portfolio of investments across multiple sectors and operates across the US and Europe, providing the opportunity to work within a sophisticated investment environment where data and analytics play an important role in supporting decision-making.
This is a hands-on Analytics Engineering opportunity, with Microsoft Fabric being a key part of the technology environment. You'll work across data engineering, transformation, modelling and analytics, helping to build reliable and scalable data solutions within a complex investment environment.
The ideal candidate will have strong experience with modern data platforms, particularly Microsoft Fabric, combined with previous experience working within the Private Equity sector.
If you're an Analytics Engineer with strong Microsoft Fabric experience and a background within Private Equity, this could be an excellent opportunity.
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.
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.
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.
See breakdownIt 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.
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.
Key Responsibilities
- Design, develop and maintain scalable data and analytics solutions.
- Build and maintain data pipelines and transformation processes using Microsoft Fabric.
- Work across data ingestion, transformation, modelling and analytics.
- Develop robust and reusable data models to support reporting and analytical requirements.
- Work with stakeholders to understand data requirements and translate these into technical solutions.
- Ensure data solutions are reliable, scalable and maintainable.
- Support the continued development of the organisation's modern data platform.
- Apply best practices around data quality, testing, documentation and governance.
- Work with large and complex datasets to support data-driven decision-making.
- Contribute to the ongoing development of the firm's data and analytics capabilities.
Essential Skills and Experience
- Proven experience as an Analytics Engineer, Data Engineer or similar.
- Previous experience within Private Equity.
- Strong hands-on experience with Microsoft Fabric.
- Strong SQL and data transformation experience.
- Strong Power BI experience, including data modelling and reporting.
- Experience working with Microsoft Azure data services.
- Experience building data pipelines and working with modern data platforms.
- Strong understanding of data modelling and analytics engineering principles.
- Experience translating business requirements into technical data solutions.
- Strong understanding of data quality, testing and governance.
- Excellent communication skills and ability to work with technical and non-technical stakeholders.


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Package and Benefits
- Salary of up to £100k depending on experience.
- Opportunity to work within a leading global private equity organisation.
- Exposure to a modern Microsoft data technology stack, including Fabric.
- Opportunity to work with complex investment and portfolio data.
- Exposure to senior stakeholders and commercially important data initiatives.
- Opportunity to contribute to the continued development of the firm's data and analytics function.
“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