Software Engineer

Job title: Software Engineer

Job description

About this role

We are looking for a data-savvy Software Engineer to help us build scalable, production-grade systems for researching, experimenting and developing cutting-edge data products in the private markets space.

This role sits within the Private Markets Data Engineering (PMDE) team at Preqin, part of BlackRock. Preqin is central to BlackRock’s ambition to transform private markets data and technology, complementing the Aladdin platform to deliver integrated public and private market solutions across the whole portfolio.

As a senior individual contributor and hands-on technical leader, you will design and build scalable data software infrastructure and analytics platforms that enable high-quality data products, advanced analytics, and client-facing solutions. Working closely with business stakeholders and product partners, you will translate strategic priorities and user needs into robust technical architectures and delivery plans. You will operate with a high degree of autonomy, owning technical design and outcomes across complex initiatives.

Your work will directly enhance transparency, operational efficiency, and data-driven decision-making for institutional investors, fund managers, and service providers. In doing so, you will help position BlackRock as the leading technology and data provider in private markets.

This role is ideal for someone who is excited by the challenges of innovating in private markets data, and combines deep technical expertise with the ability to clearly articulate value to both business stakeholders and clients.

Key responsibilities

• Architect and build scalable, reliable data pipelines and platformssoftware solutions for data products, ensuring performance, quality, and long-term sustainability.
• Own data solutions end-to-end — from translating business objectives into technical designs through implementation, deployment, and production support.
• Design and implement data workflows that are reproducible, testable, and scientifically rigorous, embedding validation frameworks, monitoring, lineage, and observability into every stage.
• Enable advanced analytics and AI/ML use cases by building software solutions infrastructure that supports experimentation, versioning, and production-grade pipeline and model deployment.
• Lead architectural decisions and influence technical prioritisation, partnering closely with product and delivery teams to align engineering effort with business impact.
• Act as a technical authority within the team, elevating engineering standards and driving best practices in data management, governance, and cloud-native development.
• Engage senior stakeholders, clearly communicating complex technical trade-offs and recommendations in business-relevant terms.
• Collaborate cross-functionally with engineers, data scientists, analysts, and product leaders to deliver high-impact solutions for institutional investors and private markets clients.