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LS
Lseg

Sr. Data Engineer

LocationIND-BLR-Divyasree Technopolis
Typefull-time
SenioritySenior
Experience7+ yrs
Company size10,000+ people
First seenOct 10, 2026 · 1d ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Must have12
7+ years in Data Engineering or related roles
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
Bachelor's degree in Computer Science, Engineering, Information Systems or a related field, or equivalent practical experience
Experience mentoring or guiding junior engineers
Work as part of an Agile scrum team, collaborating closely with business customers, Technology Product Owner, Solution Architects and Delivery leads
Nice to have2
Experience building or working with CI/CD pipelines (GitLab, Jenkins, Terraform)
Experience mentoring junior engineers or leading technical design discussions
Skills
AWS
Snowflake
Python
PySpark
Iceberg
SQL
XML
JSON
GitHub Copilot
Microsoft Copilot
Amazon Q
Snowflake Cortex
AWS Bedrock
OpenAI
GitLab
Jenkins
Terraform
Pandas
Glue
SageMaker Unified Studio
About the role
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.
Requirements
Experience: 7+ years in Data Engineering or related roles, including experience mentoring or guiding junior engineers.
Responsibilities
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
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.
Benefits
LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
Legal
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.
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