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Senior Engineer – Data Platforms

ExperiencedNo visa sponsorship

Posted 3 days ago

No clicks

**Senior Engineer – Data Platforms** - Design, build, and maintain scalable data platforms, aligning with Data-as-a-Product principles. - Collaborate with cross-functional teams to deliver high-quality data products, adhering to architectural standards and strategic direction. - Bring 10+ years of hands-on experience in data technologies, modern cloud platforms (Azure preferred), and data-driven applications. - Leverage AI-assisted development tools to improve productivity and quality, ensuring responsible AI principles are incorporated. - Work in an Agile environment, contributing to technical design, code reviews, and continuous improvement. - Opportunity to drive complex transformation initiatives and influence engineering practices within a hybrid work arrangement.

Compensation
Not specified

Currency: Not specified

City
Bengaluru
Country
India

Full Job Description

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.

As a Senior Engineer - Data Platforms, you will play a hands-on role in designing, building, and evolving our Data Bases of Record (DBoR) platforms, contributing directly to the transformation of our data estate into scalable, product-oriented data solutions.

You will work closely with engineers, product teams, and Content Operations to deliver high-quality data products, ensuring alignment with architectural standards and long-term strategic direction.

This is an exciting opportunity for an engineer who is passionate about engineering, data, and modern cloud platforms, and who wants to contribute directly to complex transformation initiatives.

You will also contribute to evolving our engineering practices through adoption of modern, AI-enabled ways of working leveraging AI-assisted development tools, automation-first workflows, and ensuring solutions are designed with traceability, governance, and responsible AI principles in mind.

Key responsibilities

  • Design, build, and maintain scalable and reusable data platform components and services aligned to Data-as-a-Product principles.
  • Contribute to the architecture and implementation of DBoR systems, ensuring adherence to engineering and platform standards.
  • Develop high-quality software using disciplined development practices, including testing, documentation, and code reviews.
  • Work closely with product and operations stakeholders to translate requirements into technical designs and deliverable solutions.
  • Collaborate with engineers across distributed teams to deliver features and improvements in an Agile environment.
  • Identify and resolve technical issues, contributing to continuous improvement of platform stability, performance, and resilience.
  • Ensure strong focus on quality through effective testing, observability, and monitoring practices.
  • Create and maintain clear technical documentation to support maintainability and reuse.
  • Review peer code and contribute to engineering standards and best practices across the team.
  • Participate in backlog refinement, estimation, and delivery planning activities.

AI-Enabled Engineering Practices

  • Apply AI-assisted development practices (e.g. code generation, documentation, testing support) to improve engineering productivity and quality.
  • Contribute to the design and adoption of AI-enabled engineering workflows, including automated testing, validation, and documentation pipelines.
  • Ensure solutions incorporate appropriate levels of traceability, auditability, and lineage, particularly where AI-assisted processes are used.
  • Work within defined governance frameworks to ensure responsible and compliant use of AI in engineering processes.
  • Continuously evaluate emerging AI capabilities and identify practical opportunities to embed them into day-to-day engineering practices.

Essential Skills

  • 10+ years of strong hands-on experience across data technologies, including modern cloud-based data platforms.
  • Experience building and supporting data products or data-driven applications.
  • Strong software engineering fundamentals, including coding, testing, and design patterns.
  • Experience with cloud platforms (Azure preferred) and modern data architectures (e.g. lakehouse).
  • Ability to analyse requirements and produce robust technical designs.
  • Strong understanding of secure coding practices and system resilience.
  • Familiarity with Agile software development practices and CI/CD pipelines.
  • Proficiency with version control systems (e.g. Git).

AI & Modern Engineering Capability

  • Familiarity with AI-assisted software development tools (e.g. Copilot or similar) and their application in engineering workflows.
  • Understanding of responsible AI principles, including traceability, explainability, and governance.
  • Experience working with automated development pipelines incorporating testing, validation, and documentation generation.

Business and sector expertise

  • Experience working with large data estates and data distribution methods.
  • Understanding of operational vs analytical data products.
  • Experience of working in highly regulated environments (e.g. financial services) is desirable.
  • Awareness of modern data architecture patterns (e.g. data mesh, data fabric).

Personal skills and capabilities

  • Strong problem-solving capability with ability to independently tackle complex technical challenges.
  • Effective communicator, able to collaborate across engineering and product teams.
  • Proactive, delivery-focused, and accountable for high-quality outcomes.
  • Comfortable working in a fast-paced, evolving transformation environment with changing priorities.

What youll get in return

High-impact projects: We work on a variety of pioneering AI products and leverage extensive datasets to solve complex, high-value challenges.

Competitive benefits: You will enjoy a strong compensation package, comprehensive benefits, and ongoing investment in career growth and skill development.

Industry leadership: This is an opportunity to be a founding member of the organization thats delivering brand-new products that democratize modeling and analytics solutions.

Collaborative environment: We provide opportunities for continuous learning and professional development in a work environment of dedicated, highly experienced teams.

We recognize that to attract the best talent, we need to be flexible, and we are open to discussing work arrangements with you. We take a hybrid approach to the workplace; this role is considered Blended, which requires attending the office at least three day per week while some teams and colleagues choose to collaborate in the office more frequently.

Proud to share LSEG in the India is Great Place to Work certified (Jun 25 Jun 26).

Learn more about life and purpose of our company directly from India colleagues video: Bengaluru, India | Where We Work | LSEG

Career Stage:

Manager

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 anyones 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 its used for, and how its 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.

Location: IND-BLR-Divyasree Technopolis

Time Type: Full time

Senior Engineer – Data Platforms

Compensation

Not specified

City: Bengaluru

Country: India

London Stock Exchange logo
Other

3 days ago

No clicks

at London Stock Exchange

ExperiencedNo visa sponsorship

**Senior Engineer – Data Platforms** - Design, build, and maintain scalable data platforms, aligning with Data-as-a-Product principles. - Collaborate with cross-functional teams to deliver high-quality data products, adhering to architectural standards and strategic direction. - Bring 10+ years of hands-on experience in data technologies, modern cloud platforms (Azure preferred), and data-driven applications. - Leverage AI-assisted development tools to improve productivity and quality, ensuring responsible AI principles are incorporated. - Work in an Agile environment, contributing to technical design, code reviews, and continuous improvement. - Opportunity to drive complex transformation initiatives and influence engineering practices within a hybrid work arrangement.

Full Job Description

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.

As a Senior Engineer - Data Platforms, you will play a hands-on role in designing, building, and evolving our Data Bases of Record (DBoR) platforms, contributing directly to the transformation of our data estate into scalable, product-oriented data solutions.

You will work closely with engineers, product teams, and Content Operations to deliver high-quality data products, ensuring alignment with architectural standards and long-term strategic direction.

This is an exciting opportunity for an engineer who is passionate about engineering, data, and modern cloud platforms, and who wants to contribute directly to complex transformation initiatives.

You will also contribute to evolving our engineering practices through adoption of modern, AI-enabled ways of working leveraging AI-assisted development tools, automation-first workflows, and ensuring solutions are designed with traceability, governance, and responsible AI principles in mind.

Key responsibilities

  • Design, build, and maintain scalable and reusable data platform components and services aligned to Data-as-a-Product principles.
  • Contribute to the architecture and implementation of DBoR systems, ensuring adherence to engineering and platform standards.
  • Develop high-quality software using disciplined development practices, including testing, documentation, and code reviews.
  • Work closely with product and operations stakeholders to translate requirements into technical designs and deliverable solutions.
  • Collaborate with engineers across distributed teams to deliver features and improvements in an Agile environment.
  • Identify and resolve technical issues, contributing to continuous improvement of platform stability, performance, and resilience.
  • Ensure strong focus on quality through effective testing, observability, and monitoring practices.
  • Create and maintain clear technical documentation to support maintainability and reuse.
  • Review peer code and contribute to engineering standards and best practices across the team.
  • Participate in backlog refinement, estimation, and delivery planning activities.

AI-Enabled Engineering Practices

  • Apply AI-assisted development practices (e.g. code generation, documentation, testing support) to improve engineering productivity and quality.
  • Contribute to the design and adoption of AI-enabled engineering workflows, including automated testing, validation, and documentation pipelines.
  • Ensure solutions incorporate appropriate levels of traceability, auditability, and lineage, particularly where AI-assisted processes are used.
  • Work within defined governance frameworks to ensure responsible and compliant use of AI in engineering processes.
  • Continuously evaluate emerging AI capabilities and identify practical opportunities to embed them into day-to-day engineering practices.

Essential Skills

  • 10+ years of strong hands-on experience across data technologies, including modern cloud-based data platforms.
  • Experience building and supporting data products or data-driven applications.
  • Strong software engineering fundamentals, including coding, testing, and design patterns.
  • Experience with cloud platforms (Azure preferred) and modern data architectures (e.g. lakehouse).
  • Ability to analyse requirements and produce robust technical designs.
  • Strong understanding of secure coding practices and system resilience.
  • Familiarity with Agile software development practices and CI/CD pipelines.
  • Proficiency with version control systems (e.g. Git).

AI & Modern Engineering Capability

  • Familiarity with AI-assisted software development tools (e.g. Copilot or similar) and their application in engineering workflows.
  • Understanding of responsible AI principles, including traceability, explainability, and governance.
  • Experience working with automated development pipelines incorporating testing, validation, and documentation generation.

Business and sector expertise

  • Experience working with large data estates and data distribution methods.
  • Understanding of operational vs analytical data products.
  • Experience of working in highly regulated environments (e.g. financial services) is desirable.
  • Awareness of modern data architecture patterns (e.g. data mesh, data fabric).

Personal skills and capabilities

  • Strong problem-solving capability with ability to independently tackle complex technical challenges.
  • Effective communicator, able to collaborate across engineering and product teams.
  • Proactive, delivery-focused, and accountable for high-quality outcomes.
  • Comfortable working in a fast-paced, evolving transformation environment with changing priorities.

What youll get in return

High-impact projects: We work on a variety of pioneering AI products and leverage extensive datasets to solve complex, high-value challenges.

Competitive benefits: You will enjoy a strong compensation package, comprehensive benefits, and ongoing investment in career growth and skill development.

Industry leadership: This is an opportunity to be a founding member of the organization thats delivering brand-new products that democratize modeling and analytics solutions.

Collaborative environment: We provide opportunities for continuous learning and professional development in a work environment of dedicated, highly experienced teams.

We recognize that to attract the best talent, we need to be flexible, and we are open to discussing work arrangements with you. We take a hybrid approach to the workplace; this role is considered Blended, which requires attending the office at least three day per week while some teams and colleagues choose to collaborate in the office more frequently.

Proud to share LSEG in the India is Great Place to Work certified (Jun 25 Jun 26).

Learn more about life and purpose of our company directly from India colleagues video: Bengaluru, India | Where We Work | LSEG

Career Stage:

Manager

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 anyones 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 its used for, and how its 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.

Location: IND-BLR-Divyasree Technopolis

Time Type: Full time