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LSEG

Global financial market infrastructure and data

Senior Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • Seven or more years of experience in data engineering or related roles.
  • Strong experience creating and optimizing AWS data pipelines using SageMaker Unified Studio and AWS Glue.
  • Strong experience with relational and dimensional data models, data lakes, and medallion architecture.
  • Strong experience with SQL, including structured and semi-structured data such as XML and JSON, and developing ETL/ELT pipelines in and out of a data warehouse.
  • Strong experience using Python, Pandas, and PySpark for data ingestion and transformation.
  • Working experience with Apache Iceberg or other open file formats.
  • Demonstrated experience driving adoption of agentic AI capabilities to automate data engineering workflows.
  • Experience with generative AI-assisted development tools such as GitHub Copilot, Microsoft Copilot, Amazon Q, or similar AI coding assistants.
  • Familiarity with AI/ML services such as Snowflake Cortex, AWS Bedrock, OpenAI, or similar platforms.
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.

Responsibilities

  • Understand data-set context that enables analytics and guide others in doing so.
  • Design, develop, and implement SAD-approved capabilities using agreed tooling and techniques in the LSEG Corporate Data Cloud.
  • Ensure work conforms to security, infrastructure, product, and other internal requirements.
  • Maintain system documentation in accordance with LSEG requirements.
  • Develop subject-matter authority in Snowflake and data, explain the product suite, and engage with a wide audience.
  • Steer, guide, and assist teams seeking integrations; contribute to evolving LSEG policies and standards.
  • Ensure processes and documentation adequately and effectively meet support and audit requirements.
  • Work as part of an Agile scrum team, collaborating with business customers, the Technology Product Owner, Solution Architects, and Delivery Leads.
  • Mentor and provide technical guidance to junior data engineers.
  • Drive adoption of agentic AI capabilities to automate data engineering workflows, including code generation, data quality validation, metadata management, pipeline monitoring, and operational troubleshooting.

Desired Qualifications

  • Experience building or working with CI/CD pipelines using GitLab, Jenkins, or Terraform.
  • Experience mentoring junior engineers or leading technical design discussions.

About the Company

LSEG

Global financial market infrastructure and data

LSEG provides global financial market infrastructure and data across the full value chain. It delivers data, analytics, and risk-management tools, benchmarks via FTSE Russell, regulatory and financial crime risk services, and trading, clearing, and settlement through its Capital Markets and Post Trade divisions, typically accessed via subscriptions, licensing, and fees. The company differentiates itself by offering an integrated, end-to-end platform that covers pre-trade data and analytics to post-trade processing with a broad, global footprint. Its goal is to grow over the long term by leveraging its diversified portfolio and international reach to create value for shareholders and customers.

Company size
10,001+
Company stage
IPO
Headquarters
London, United Kingdom
Founded
1801

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