Sr. Data Engineer

London Stock Exchange Group; India; On-site; INR 2,400,000 - 3,600,000; Full time

Job summary

London Stock Exchange Group (LSEG) is seeking a Senior Associate Data Engineer to design, build and optimize data pipelines on the AWS Data Stack, including SageMaker Unified Studio and Glue.

You will contribute to a modern data platform with Snowflake, data lakehouse architectures and AI-assisted development, mentoring juniors and collaborating with product owners and solution designers in a dynamic, Scrum-driven environment.

Qualifications

• Strong experience creating and optimizing data pipelines on AWS using SageMaker Unified Studio and Glue.
• Strong experience with Relational/Dimensional data models, Data Lakes and Medallion Architecture.
• Strong experience in SQL, including structured and semi-structured data, and developing ETL/ELT pipelines.
• Strong experience with Python (Pandas and PySpark) for data ingestion and transformation.
• Working experience with 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.

Responsibilities

• Understand the context of data sets that enable analytics and guide others in doing so.
• Design, develop and implement SAD approved capability using agreed tooling and techniques into the LSEG Corporate Data Cloud.
• Ensure all work conforms to security, infrastructure, product and other internal requirements.
• Maintain system documentation in conformance with LSEG requirements.
• Become Snowflake and data subject authority, capable of explaining the product suite and engaging with a wide audience.
• Steer, guide and assist disparate teams seeking integrations; input into evolving LSEG policies and standards.
• Ensure that all processes and documentation are adequate and effective to meet support and audit requirements.
• Work as part of an Agile scrum team, collaborating closely with business customers, Technology Product Owner, Solution Architects and Delivery leads.
• Mentor and provide technical guidance to junior data engineers.
• Drive the adoption of Agentic AI capabilities to automate data engineering workflows.

Skills

AWS SageMaker Unified Studio

AWS Glue

SQL

Python (Pandas PySpark)

Snowflake

Iceberg

Agentic AI capabilities

Generative AI tooling

Education

Bachelor's degree in CS/Engineering/IS

Tools

GitHub Copilot

Microsoft Copilot

Amazon Q

GitLab

Jenkins

Terraform

Job description

The individual is passionate about designing and developing technical solutions to support business priorities and drive a data driven culture. This role involves building and managing data pipelines on the AWS Data Stack and leading the AIDE team's delivery of best-of-breed analytics capabilities using the Snowflake cloud data warehouse. Working closely with Solution Designers, Product Owners, and customers, this role requires a deep understanding of data warehousing principles, cloud architecture, modern data engineering practices, and Agentic Driven Development.This role is responsible for building and optimizing modern data platforms leveraging Snowflake, AWS Data Engineering Services (Glue, SMUS, MWAA etc.), Python, PySpark, and working experience with Iceberg or other open file formats. The ideal candidate will possess strong hands-on experience in cloud data engineering, data warehousing, lakehouse architectures, and Agentic Driven Development, and will act as a technical authority across the team.Experience: 7+ years in Data Engineering or related roles, including experience mentoring or guiding junior engineers.Key Responsibilities:- Understand the context of data sets that enable analytics and guide others in doing so.- Design, develop and implement SAD approved capability using agreed tooling and techniques into the LSEG Corporate Data Cloud.- Ensure all work conforms to security, infrastructure, product and other internal requirements.- Maintain system documentation in conformance with LSEG requirements.- Become a Snowflake and data subject authority, capable of explaining the product suite and engaging with a wide audience.- Steer, guide and assist disparate teams seeking integrations; input into evolving LSEG policies and standards.- Ensure that all processes and documentation are adequate and effective to meet support and audit requirements.- Work as part of an Agile scrum team, collaborating closely with business customers, Technology Product Owner, Solution Architects and Delivery leads.- Mentor and provide technical guidance to junior data engineers.- Drive the adoption of Agentic AI capabilities to automate data engineering workflows, including code generation, data quality validation, metadata management, pipeline monitoring, and operational troubleshooting.Required Skills & Experience (Must have):- Strong experience creating and optimizing data pipelines on AWS using SageMaker Unified Studio and Glue.- Strong experience working with Relational/Dimensional data models, Data Lakes and Medallion Architecture.- Strong experience in SQL, including structured and semi-structured data (XML and JSON), and developing ETL/ELT pipelines in and out of a data warehouse.- Strong experience with Python (Pandas and PySpark) for data ingestion and transformation.- Working experience with 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.Nice to have:- Experience building or working with CI/CD pipelines (GitLab, Jenkins, Terraform).- Experience mentoring junior engineers or leading technical design discussions.Qualifications:- Bachelor's degree in Computer Science, Engineering, Information Systems or a related field, or equivalent practical experience.About the Team:As a team we:- Understand context of data sets that enable analytics.- Design, develop and implement SAD approved capability using agreed tooling and techniques into LSEG Corporate Data Cloud.- Ensure all work conforms to security, infrastructure, product and other internal requirements.- Maintain system documentation in conformance with LSEG requirements.- Become Snowflake and data subject authority, capable of explaining our product suite and engaging with wide audience.- Steer, guide and assist disparate teams seeking integrations; input into evolving LSEG policies and standards.- Ensure that all processes and documentation are adequate and effective to meet support and audit requirements.- Work as part of an Agile scrum team, collaborating closely with business customers, Technology Product Owner, Solution Architects and Delivery leads. **We're proud to have been recognised as a Great Place to Work in India ‘25** **Career Stage:**Senior Associate**London Stock Exchange Group (LSEG) Information:**Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.Our purpose is the foundation on which our culture is built. Our values of **Integrity, Partnership**, **Excellence** and **Change** underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject.If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.