Method Resourcing
Senior Data Engineer

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Job Opportunity
Method Resourcing are excited to partner with a London-based Private Equity Manager (€6.2bn AuM) looking to join their talented team as they continue to grow.
This is an opportunity to join a small, high-performing team - mentoring 2 junior colleagues in the team, with extensive exposure to AI/ML and cutting-edge projects.
Responsibilities
- Own the data platform architecture from end to end, spanning ingestion, storage, modelling, and consumption layers
- Establish and uphold data governance standards, including lineage tracking, access controls, and quality frameworks
- Migrate legacy Excel-based financial and research models into well-tested, maintainable Python code, while preserving and formalizing the underlying business logic
- Develop reusable analytical libraries for real estate metrics and investment KPIs
- Build and maintain CI/CD pipelines, scheduling infrastructure, and a monitoring dashboard for pipeline observability
- Identify and implement automation opportunities across research, investment, finance, and asset management functions
- Design and deploy agent-based and multi-agent AI workflows to support research and investment processes
- Lead end-to-end delivery of new technology initiatives, from initial scoping through production rollout
- Partner with non-technical stakeholders to translate business requirements into technical solutions
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.
About You


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- 5+ years of hands-on data engineering experience, including time in a small team setting where you owned systems end-to-end
- Strong proficiency in Python and SQL
- In-depth experience with Snowflake (or an equivalent cloud data warehouse), dbt, and modern orchestration tools (Airflow, Dagster, or Prefect), as well as Docker
- A demonstrable track record of designing and running production ETL/ELT pipelines, taking ambiguous source data through to clean, governed consumption layers
- Hands-on experience building CI/CD pipelines and observability tooling for data systems
Location: Mayfair-based, 5 days a week in the office.
Note: No visa sponsorship available unfortunately.
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