Senior Data Engineer

Senior Data Engineer Private Equity Real Estate

Location:

London Working: 5 days per week onsite (non-negotiable) Package:
Up to £120k Total Compensation

The Role An opportunity to join a highly successful private equity investment firm as they continue to invest in their data platform and engineering capabilities.

You'll play a key role in building and evolving the firm's cloud-based data platform, developing scalable data pipelines, integrating internal and external data sources, and delivering high-quality data that directly supports investment decisions.

This is a hands-on engineering role in a fast-paced environment, working closely with investment, finance and asset management teams. You'll also mentor two junior Data Engineers while owning day-to-day technical delivery.

Key Responsibilities Design, build and optimise scalable data pipelines and ETL processes Integrate internal and external data sources using APIs and scripting Build and enhance cloud-based data infrastructure using AWS/GCP and SQL Drive automation and continuous improvements across the data platform Ensure data quality, governance and reliability across datasets Develop reporting and analytics solutions to support commercial decision-making Partner closely with business stakeholders to deliver data-driven solutions Mentor and support two junior Data Engineers Key Requirements 4 years' experience in Data Engineering or a similar role Strong SQL and Python development experience Solid experience with Snowflake (essential) Experience building cloud-based data platforms (AWS and/or GCP) Experience working with APIs and integrating multiple data sources Strong analytical and problem-solving skills Comfortable working directly with business stakeholders in a fast-paced environment Previous mentoring or coaching experience is desirable

Please note:

5 days per week onsite in Mayfair, London Candidates must be able to start within 2 months Get in touch for more details -