Lead, Software & Platform Engineering

About the Role

We are seeking an experienced Lead Product Engineer to join our team in London.

Responsibilities

• Technical leadership: Guide and mentor the engineering team, make key technical decisions, provide a strategic framework, and detailed technical guidance covering architectural and tactical design patterns, best practices, and a clear implementation process.
• Product development: Lead the technology assessment for new products or features, influence design decisions to manage risks, and develop mitigation plans.
• Cloud architecture: Design and build solutions on public cloud platforms such as AWS or Azure, leveraging services for compute, storage, and networking.
• Cross‑functional collaboration: Work closely with product management, design, quality, and manufacturing teams to ensure a successful product launch and sustainment.
• Lead AI integration: Work with leadership to implement the company’s long‑term AI strategy, identify practical use cases, translate product goals into actionable technical tasks, and lead the design, development, and deployment of AI‑enhanced solutions.
• Prototyping and testing: Develop and implement testing procedures, create product prototypes, and conduct performance testing to ensure requirements are met.
• Problem‑solving: Lead the resolution of technical issues and quality excursions that arise during product development and production phases.

Required Skills & Experience

• 10+ years in data engineering, data warehousing, analytics, or similar roles.
• Strong expertise in Snowflake architecture and AWS cloud services (including API interfaces).
• Experience leading and mentoring engineering teams, particularly distributed or remote teams.
• Strong proficiency in programming languages such as Python.
• Proven experience designing and implementing enterprise data warehouse solutions.
• Proven expertise in building and optimizing ETL pipelines using SQL, Python, and dbt.
• Experience with AI development tools and platforms (e.g., GPT APIs, Copilot) and AI agent frameworks.
• Architect, design, and implement robust and scalable CI/CD pipelines across AWS and Azure environments.
• Familiarity with data governance, data quality frameworks, and access controls.
• Strong communication skills for partner engagement and cross‑functional collaboration.

Benefits

• Career growth, leading a commercially focused technology team in a high‑profile business.
• Data platform products design and development opportunity.
• Leadership opportunity to determine strategic technology direction for Markets & Risk Intelligence products.
• Cutting‑edge development on AWS & Azure platforms and cloud technologies.
• Hybrid work arrangements.

Career Stage

Manager

Employer Information

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is to drive financial stability, empower economies, and enable customers to create sustainable growth.

We are proud to be an equal opportunities employer and comply with applicable laws. We accommodate applicants’ religious practices and disability needs.

We are committed to sustainability and offer benefits such as healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

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