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# Data & Platform Engineer, Private Equity Firm

- **Company:** Richard Wheeler Associates
- **Location:** London, United Kingdom (Remote available)
- **Salary:** £35,000 - £42,000
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, BigQuery, Data Deduplication, Data Dictionary, Python (Programming Language), PostgreSQL, Runbook, SQL Databases, Cloud Platform System, Delivery Pipeline, Snowflake, Information Technology, Entity Resolution, Automation Anywhere
- **Published:** October 27, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=da1e2cc66f7217eb

## About the Role

* A degree (2:1 or above) in computer science, engineering, maths, physics or a similar quantitative field, or a demonstrable self-taught equivalent
 * Solid Python and SQL, with code you can show
 * An instinct for turning messy information into clean, well-modelled data
 * Care and discretion with commercially sensitive financial data
 * Comfort with ambiguity: a small team defining things as it goes, not a rotation programme
 * The culture 'fit' is key: you'll be naturally inquisitive, have a demonstrable 'can do' mindset, real enthusiasm for the work, an analytical/mathematical brain
 * Exposure to a cloud platform (AWS, Azure or GCP) or a warehouse (Snowflake, BigQuery or Postgres at scale) is strongly preferable
 * Familiarity with dbt, Airflow, Dagster or Prefect, or an interest in learning them
 * Some exposure to finance, * Bachelor's (required)

## Description

* Build pipelines into a central warehouse and design data models for funds, deals, portfolio companies, investors and valuations
 * Integrate the CRM, fund administration, accounting and data-room platforms via their APIs
 * Set up data quality checks, deduplication, entity resolution and access controls for sensitive LP and deal data
 * Work with the AI & Product Engineer to serve clean data to AI workflows
 * Maintain internal tooling and automations
 * Document everything (data dictionaries, runbooks, architecture notes) so the platform outlives any one person