Senior Data Engineer

Senior Data Engineer -

Role Overview

We are seeking a Senior Data Engineer to support the development and evolution of a scalable data platform underpinning private equity investment activity across EMEA. Working closely with investment, research, and technology teams, you will design, build, and optimise robust data pipelines and infrastructure that transform fragmented market and real estate data into structured intelligence.

This role plays a critical part in enabling data-driven decision making across underwriting, portfolio strategy, and capital allocation.

Key Responsibilities

• Design, build, and maintain scalable data pipelines to manage and process large datasets from internal and external sources.
• Architect and optimise ETL/ELT workflows using AWS, SQL, Python, and modern cloud-based technologies.
• Manage API integrations and automate data ingestion, transformation, and enrichment processes.
• Improve data platform performance, reliability, and scalability across the organisation.
• Develop analytical tools and dashboards (e.g., Tableau) that deliver actionable insights for investment and business teams.
• Implement data quality frameworks, monitoring, and governance processes to ensure data integrity and reliability.
• Partner with investment, asset management, and finance teams to translate business requirements into scalable technical solutions.
• Bring an architecture-first mindset, helping shape the evolution of the data platform while proactively exploring and adopting new technologies that enhance performance, scalability, and data capabilities.

Requirements

• Strong understanding of data architecture principles, scalable platform design, and data modelling.
• Proven experience building and maintaining data pipelines and ETL/ELT workflows using modern data stack technologies.
• 5+ years' experience in data engineering or a similar data-focused role.
• Strong proficiency in SQL and Python for data transformation, pipeline development, and analytics.
• Experience working with cloud platforms (AWS) and modern data warehouses such as Snowflake.
• Experience using data visualisation or BI tools (e.g., Tableau) to support analytics and business insight.
• Strong analytical thinking and structured problem-solving capability.
• Ability to work effectively across teams and manage multiple priorities in a fast-paced environment.
• Interest in investment, financial markets, or real estate data would be advantageous.

Selection Process

Shortlisted candidates will be required to complete a 24-hour coding assessment as part of the selection process.