Senior Lead Engineer

About Us: LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It’s how we’ve contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years. Through a comprehensive suite of trusted financial market infrastructure services – and our open-access model – we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity. LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally, more than half located in Asia Pacific. Senior Lead Engineer (GG13) At LSEG, we are reimagining the way in which our customers consume our data and services. Content Engineering is key to the success of this vision. You will be responsible for designing, building, and leading enterprise-scale applications, data platforms, analytics solutions, and AI-powered applications that enable data-driven decision-making across the organization. You will harness Microsoft Fabric, Azure Data Platform, Lakehouse architectures, Generative AI, and Agentic AI technologies Key Responsibilities: Design and develop scalable, high-performance enterprise applications using Java and related technologies. Lead migration of legacy on-premises applications, databases, and data platforms to modern cloud-native architectures. Drive architectural reviews, technology modernization initiatives, and engineering procedures across teams. Mentor engineers and provide technical leadership in database engineering, cloud architecture, data management, analytics, and AI adoption. Stay up to date with emerging trends in cloud computing, analytics, artificial intelligence, and enterprise data platforms. Develop and maintain high-performance SQL queries, stored procedures, views, APIs, and data services to support critical business applications. Design, build, and optimize ETL/ELT pipelines for ingesting, transforming, and integrating data from structured and unstructured sources. Implement governance, security, data quality, lineage, and compliance controls across enterprise data platforms. Required Skills: Drive adoption of AI, establish guidelines for responsible AI, AI governance, Strong programming skills in languages such as Java, Python, SQL. Deep expertise in SQL, database design, data modelling, query optimization, and performance tuning. Strong proficiency in cloud platforms, particularly Microsoft Azure, including Data Lake Storage, Event Hubs, Functions, and API Management.