Head of Data Engineering - Private Markets (Basé à London)

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London

3 weeks ago

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Head of Data Engineering - Private Markets, london

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Client:

twentyAI

Location:

london, United Kingdom

Job Category:

Other

EU work permit required:

Yes

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Job Views:

Posted:

08.05.2025

Expiry Date:

22.06.2025

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Job Description:

An exciting opportunity has arisen for an experienced data engineering leader to drive innovation and build a best-in-class data infrastructure at a leading private markets firm. This role will lead a high-performing team in designing and scaling data platforms, with a strong emphasis onAzure Databricks, to enhance investment decision-making and operational efficiency.

The Role

AsHead of Data Engineering, you will be responsible for shaping and executing the firm’s data strategy, working closely with stakeholders across technology, investment, and transformation teams. Your expertise indata architecture, cloud platforms, and engineering best practiceswill be instrumental in building scalable, high-performance data solutions that power analytics and business intelligence.

Key Responsibilities

Lead and develop the data engineering team, fostering a culture of technical excellence and innovation.
Architect and build scalable data pipelines, integrating structured and unstructured data sources to support investment research and reporting.
Drive the firm’s cloud-based data strategy, optimizing data storage, processing, and compute efficiency using Azure Synapse, Databricks, and Spark.
Collaborate with investment and technology teams to develop analytical capabilities, enabling advanced insights and automation.
Monitor emerging data engineering trends, tools, and best practices to keep the firm at the cutting edge of technology.
Define and track key performance indicators (KPIs) to measure the impact of data initiatives.

Requirements

Proven leadership experiencein data engineering, data architecture, or analytics, ideally within investment management, financial services, or private markets.
Strong expertise inAzure cloud services, Synapse, Databricks, Spark, and data lake architectures.
Deep understanding ofETL/ELT processes, data modeling, and high-performance data warehousing.
Experience managinglarge-scale data platformsand optimizing data pipelines for analytics and reporting.
Strong strategic mindset with the ability to translate technical capabilities into business value.
Excellent communication and stakeholder management skills, with the ability toinfluence senior leadershipand drive cross-functional collaboration.

This is a unique opportunity toshape the future of data engineeringwithin a dynamic investment environment. If you’re aforward-thinking data leaderwith expertise inSynapse, Databricks, and cloud-based data solutions, I’d love to hear from you.

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