Overview
Lead Product Engineer at LSEG in London, driving technical direction for data platforms and product initiatives. You will mentor engineers, shape architecture, and lead cloud-native and AI-enabled solutions. You’ll collaborate across product, design, and operations to deliver robust data platforms on AWS/Azure. This role blends hands-on engineering with strategic technology leadership to advance Markets & Risk Intelligence products in a global financial context.
Pay / Benefits
- career growth
- leadership opportunity
- hybrid work arrangement
- healthcare
- retirement planning
- wellbeing initiatives
Responsibilities
- Provide technical leadership and mentorship to the engineering team with architectural guidance
- Lead technology assessment and design decisions for new products/features
- Design and implement cloud-based solutions on AWS/Azure with scalable data capabilities
- Collaborate with product, design, quality, and manufacturing for successful launches
- Lead AI integration: identify use cases and translate goals into actionable tasks
- Prototype and test solutions, establish performance benchmarks
- Resolve complex technical issues during development and production
- Hands-on work in Cloud Data Engineering, Analytics and ML
Key requirements
- 10+ years in data engineering, data warehousing, analytics or related roles
- Strong Snowflake architecture and AWS services expertise
- Experience leading distributed or remote engineering teams
- Proficiency in Python and enterprise data warehouse design
- Proven ETL pipeline development with SQL, Python and dbt
- Experience with AI development tools and AI agent frameworks
- CI/CD pipeline design across AWS and Azure
- Familiarity with data governance and data quality controls
- Strong communication for partner engagement and cross-functional collaboration
- strong communication
- cross-functional collaboration
- mentoring and leadership
- Snowflake
- AWS
- Azure
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