London Stock Exchange Group (LSEG) is a global financial markets infrastructure provider with a heritage that spans over 200 years. Headquartered in London, the group operates a suite of world‑class exchanges, clearing houses, and data services that power capital markets across the globe. In recent years, LSEG has accelerated its digital transformation, investing heavily in cloud‑native platforms, data analytics, and AI‑driven solutions to deliver real‑time insights to its clients. The Bengaluru office serves as a strategic hub for the group’s technology and data engineering teams, enabling rapid development of scalable products that support trading, risk management, and regulatory reporting. The role of Data Engineer – Python, AWS & SQL is positioned at the intersection of software engineering and data architecture. As a member of the data platform team, you will design, build, and maintain robust data pipelines that ingest, process, and store massive volumes of market data. You will work closely with product owners, data scientists, and infrastructure engineers to translate business requirements into production‑grade solutions that are reliable, performant, and cost‑effective on the AWS cloud. Key Responsibilities: 1. Design and implement end‑to‑end data pipelines using Python and AWS services such as S3, Lambda, Glue, and Redshift. 2. Write optimized SQL queries and stored procedures for data transformation and analytics. 3. Ensure data quality, consistency, and governance by implementing validation checks and monitoring alerts. 4. Collaborate with cross‑functional teams to gather requirements, define data models, and deliver scalable solutions. 5. Participate in code reviews, adopt best practices, and contribute to the team’s CI/CD pipeline. 6. Troubleshoot production incidents, perform root‑cause analysis, and implement preventive measures. 7. Document architecture, data flow diagrams, and operational runbooks for knowledge sharing. 8. Stay updated with emerging cloud technologies and propose enhancements to improve performance and cost efficiency. 9. Mentor junior engineers and foster a culture of continuous learning. 10. Contribute to the evolution of LSEG’s data strategy by exploring new data products and services. Tech Stack: Python, AWS (S3, Lambda, Glue, Redshift, EMR, CloudWatch), SQL (PostgreSQL, Redshift), Docker, Git, Jenkins/CodePipeline, Airflow (optional), Linux. Growth Path: Starting as a Data Engineer, you can progress to Senior Engineer, Lead Engineer, and eventually to Data Architecture or Product Management roles within LSEG’s global technology ecosystem. The company encourages internal mobility, offering exposure to diverse financial products and cutting‑edge cloud initiatives. Why Join LSEG? You will be part of a prestigious global brand that values innovation, data‑driven decision making, and employee development. The Bengaluru team enjoys a collaborative environment, flexible work‑from‑home policies, and access to world‑class learning resources. Competitive compensation, performance‑linked bonuses, and a comprehensive benefits package make LSEG an attractive destination for ambitious engineers looking to make an impact in the financial technology space.