Overview

A forward-thinking mid-market Private Equity is seeking a Data Engineer to play a key role in building and evolving its bespoke data platform. The company focuses on driving sustainable growth across essential markets and embeds responsible investment principles into everything it does. With a culture that champions collaboration, learning, and values such as honesty, humility, excellence, and courage, you’ll be joining an environment where both people and businesses are supported to reach their full potential.

Responsibilities

• Help shape and deliver a next-generation data platform that underpins decision-making across the business.
• Work hands-on with cloud, data, and automation technologies to unlock insights and streamline processes.
• Engage with stakeholders to understand their challenges and translate them into effective technical solutions.
• Operate in a role that combines strong technical capability with curiosity to explore how data can transform business outcomes and drive lasting improvements.

Your background / Qualifications

• Hands-on experience building and maintaining data solutions, ideally within Private Equity or Investment Management
• Strong proficiency with Databricks and Azure cloud services for data storage and management
• Advanced skills in Python (including data libraries) and SQL for development and optimization
• Understanding of core data principles such as quality, governance, and security
• Ability to collaborate effectively with both technical colleagues and business stakeholders
• Knowledge of modern data transformation and orchestration tools (e.g. dbt, Airflow, Dagster) will be a plus

Next steps

If you’re ready to take the next step in your data engineering career and want to work in a dynamic, mission-driven team, we want to hear from you! Click apply or reach out to mihaela.popova@twentyai.com.

Work arrangement

This is a hybrid position requiring 3 days per week in the Central London office.