Head of Data Engineering - Private Markets - London/Hybrid | London, UK

twentyAI; London; Hybrid; GBP 80,000 - 120,000; Full time

Job summary

An exciting opportunity awaits a data engineering leader to drive innovation in a dynamic investment environment. This role involves shaping and executing a cutting-edge data strategy while leading a high-performing team. You will architect scalable data solutions using Azure Databricks and Synapse, integrating diverse data sources to enhance analytics and business intelligence. Your leadership will empower the firm to leverage data for strategic insights and operational efficiency. If you are passionate about data engineering and ready to make a significant impact, this is the role for you!

Qualifications

• Proven leadership in data engineering and architecture.
• Strong expertise in Azure cloud services and data lake architectures.

Responsibilities

• Lead the data engineering team to foster innovation and technical excellence.
• Architect scalable data pipelines for investment research and reporting.

Skills

Leadership in Data Engineering

Data Architecture

Cloud Platforms

ETL/ELT Processes

Stakeholder Management

Tools

Azure Databricks

Azure Synapse

Spark

Job description

Head of Data Engineering - Private Markets - London/Hybrid

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 on Azure Databricks, to enhance investment decision-making and operational efficiency.

The Role

As Head 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 in data architecture, cloud platforms, and engineering best practices will be instrumental in building scalable, high-performance data solutions that power analytics and business intelligence.

Key Responsibilities

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

Requirements

1. Proven leadership experience in data engineering, data architecture, or analytics, ideally within investment management, financial services, or private markets.
2. Strong expertise in Azure cloud services, Synapse, Databricks, Spark, and data lake architectures.
3. Deep understanding of ETL/ELT processes, data modeling, and high-performance data warehousing.
4. Experience managing large-scale data platforms and optimizing data pipelines for analytics and reporting.
5. Strong strategic mindset with the ability to translate technical capabilities into business value.
6. Excellent communication and stakeholder management skills, with the ability to influence senior leadership and drive cross-functional collaboration.

This is a unique opportunity to shape the future of data engineering within a dynamic investment environment. If you’re a forward-thinking data leader with expertise in Synapse, Databricks, and cloud-based data solutions, I’d love to hear from you.