L
London Stock Exchange
Software & Platform Engineering Lead
Skills
SQL QueriesData EngineeringPythonProduct ManagementSnowflakeData AnalysisMachine LearningAIAWSdbtWorkdayRisk ManagementAzure
1 month ago
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Important information
Contract type:
Permanent
Location:
London, UK
Work mode:
Onsite
Published on:
20 September 2026
What they need
- Echnical leadership: Guide and mentor the engineering team, making key technical decisions and providing a strategic framework and detailed technical guidance covering architectural patterns, tactical design patterns, best practices, and a clear implementation process
- Product development: Lead the technology assessment for new products/features, influencing design decisions to manage risks and develop mitigation plans
- Cloud Architecture: Design and build solutions on public cloud platforms like 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, identifying practical use cases for AI and translating product goals into actionable technical tasks. Lead the design, development, and deployment of AI-enhanced software solutions and oversee the integration of AI capabilities into products and workflows
- 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 the product development and production phases
- This is a hands-on role involving deep technical work in Cloud Data Engineering, Analytics and ML- Proven expertise in building and optimizing ETL pipelines using tools like SQL, Python and dbt
- Experience with AI development tools and platforms (e.g., GPT APIs, Copilot) and AI agent frameworks
- Experience leading and mentoring engineering teams, particularly distributed or remote teams
- Architect, designing and implementing robust and scalable CI/CD pipelines across diverse cloud (AWS, Azure) environments
- Strong communication skills for partner engagement and cross-functional collaboration
- Strong expertise in Snowflake architecture and AWS cloud services (incl API interfaces)
- Familiarity with data governance, data quality frameworks, and access controls
- Proven experience designing and implementing enterprise data warehouse solutions
- Strong proficiency in programming languages like Python
- 10+ years in data engineering, data warehousing, analytics or similar roles
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