Lead, Software & Platform Engineering

LSEG; Greater London; Hybrid; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Career growth opportunities

Leadership in technology development

Hybrid work arrangements

Healthcare benefits

Paid volunteering days

Job summary

A global financial markets infrastructure provider is seeking a Lead Product Engineer in Greater London. The individual will play a vital role in guiding technical decisions and mentoring the engineering team while leading technology assessments and product developments on AWS and Azure. With 10+ years in data engineering and a strong background in AI and cloud architecture, this position offers career growth and a chance to shape strategic technology direction. Hybrid work arrangements are available.

Qualifications

• 10+ years in data engineering, analytics, or similar roles.
• Experience leading and mentoring engineering teams, particularly remote teams.
• Proven experience in designing and implementing enterprise data warehouse solutions.
• Proficiency in Python and building enterprise data warehouses.
• Experience with ETL pipelines using SQL, Python, and dbt.
• Familiarity with AI development tools and AI agent frameworks.
• Experience designing CI/CD pipelines across AWS and Azure.
• Knowledge of data governance and data quality controls.
• Strong communication for partner engagement.

Responsibilities

• Guide and mentor the engineering team, making key technical decisions.
• Lead technology assessment for new products or features.
• Design and build solutions on public cloud platforms like AWS or Azure.
• Work closely with product management and design teams for successful product launches.
• Implement the company’s long-term AI strategy.
• Develop testing procedures and conduct performance testing.
• Resolve technical issues and quality excursions during development.

Skills

Data engineering

Snowflake architecture

AWS cloud services

Python programming

ETL pipeline optimization

AI development tools

CI/CD pipelines

Data governance

AI tools

CI/CD pipelines

Data governance

Communication

Tools

Snowflake

dbt

Python tooling

AWS

Azure

GPT APIs

Copilot

Job description

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.