Senior Lead Engineer

London Stock Exchange Group; Bengaluru; On-site; INR 2,000,000 - 5,000,000; Full time

Benefits offered by this job

Healthcare

Retirement planning

Paid volunteering days

Wellbeing initiatives

Job summary

London Stock Exchange Group (LSEG) is seeking a Senior Lead Engineer with 12+ years of experience to design and lead enterprise-scale data and AI-powered applications. You will drive cloud-native migrations on Microsoft Azure, build scalable Java solutions, and guide teams in governance, security, and data management across platforms.

You will mentor engineers, optimize ETL/ELT pipelines, and stay ahead of AI and cloud trends while delivering high-performance data services for critical business

Qualifications

• 12+ years of experience in Software Engineering, Database technologies, Analytics, and Enterprise Data Platforms.
• Bachelor’s degree or equivalent in computer science, Engineering, Information Systems, or a related field.
• Microsoft certifications such as Azure AI Engineer Associate, Azure Solutions Architect, or Fabric Analytics Engineer Associate would be advantageous.

Responsibilities

• Design and develop scalable, high-performance enterprise applications using Java and related technologies.
• Lead migration of legacy on-premises applications, databases, and data platforms to modern cloud-native architectures.
• Drive architectural reviews, technology modernization initiatives, and engineering procedures across teams.
• Mentor engineers and provide technical leadership in database engineering, cloud architecture, data management, analytics, and AI adoption.
• Stay up to date with emerging trends in cloud computing, analytics, artificial intelligence, and enterprise data platforms.
• Develop and maintain high-performance SQL queries, stored procedures, views, APIs, and data services to support critical business applications.
• Design, build, and optimize ETL/ELT pipelines for ingesting, transforming, and integrating data from structured and unstructured sources.
• Implement governance, security, data quality, lineage, and compliance controls across enterprise data platforms.

Skills

Java

Spring Boot

Spring Cloud

REST APIs

GraphQL

Microservices

SQL

Azure

Data Lake Storage

ETL/ELT

AI Agents

CI/CD

Education

Bachelor’s degree in Computer Science or related

Tools

Docker

Kubernetes

GitHub Actions

Azure DevOps

Data Factory

Job description

About Us

LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It's how we've contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years. Through a comprehensive suite of trusted financial market infrastructure services - and our open-access model - we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity. LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally, more than half located in Asia Pacific.

We're proud to have been recognised as a Great Place to Work in India '25

Senior Lead Engineer (GG13)

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.

You will be responsible for designing, building, and leading enterprise-scale applications, data platforms, analytics solutions, and AI-powered applications that enable data-driven decision-making across the organization. You will harness Microsoft Fabric, Azure Data Platform, Lakehouse architectures, Generative AI, and Agentic AI technologies.

Key Responsibilities

• Design and develop scalable, high-performance enterprise applications using Java and related technologies.
• Lead migration of legacy on-premises applications, databases, and data platforms to modern cloud-native architectures.
• Drive architectural reviews, technology modernization initiatives, and engineering procedures across teams.
• Mentor engineers and provide technical leadership in database engineering, cloud architecture, data management, analytics, and AI adoption.
• Stay up to date with emerging trends in cloud computing, analytics, artificial intelligence, and enterprise data platforms.
• Develop and maintain high-performance SQL queries, stored procedures, views, APIs, and data services to support critical business applications.
• Design, build, and optimize ETL/ELT pipelines for ingesting, transforming, and integrating data from structured and unstructured sources.
• Implement governance, security, data quality, lineage, and compliance controls across enterprise data platforms.

Required Skills

• Drive adoption of AI, establish guidelines for responsible AI, AI governance.
• Strong programming skills in languages such as Java, Python, SQL.
• Deep expertise in SQL, database design, data modelling, query optimization, and performance tuning.
• Strong proficiency in cloud platforms, particularly Microsoft Azure, including Data Lake Storage, Event Hubs, Functions, and API Management.
• Solid understanding of ETL/ELT frameworks, orchestration, and data integration across databases including SQL Server, PostgreSQL, Oracle, and Azure data services.
• Strong knowledge of security, governance, compliance, and operational excellence practices.
• Excellent leadership, problem-solving, communication, and stakeholder management skills.

Required Qualifications

12+ years of experience in Software Engineering, Database technologies, Analytics, and Enterprise Data Platforms. Bachelor’s degree or equivalent in computer science, Engineering, Information Systems, or a related field. Microsoft certifications such as Azure AI Engineer Associate, Azure Solutions Architect, or Fabric Analytics Engineer Associate would be advantageous.

Technical Skills

• Core Technologies Java, Spring Boot, Spring Cloud REST APIs, GraphQL, Microservices.
• Strong proficiency in SQL, PL/SQL, T-SQL, or equivalent database programming languages.
• Databases: PostgreSQL, SQL Server and No SQL Server.
• Data Engineering: Azure Data Factory, ETL/ELT Frameworks, Data Lake Storage.
• Agentic AI & Generative AI: AI Agents & Multi-Agent Systems, Prompt Engineering.
• Cloud & DevOps: Microsoft Azure (preferred), Docker and container orchestrations, GitHub Actions / Azure DevOps, CI/CD Pipelines.
• Experience with Microsoft Purview, data governance frameworks, and enterprise metadata management will be helpful.

Career Stage

Manager

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.

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

• healthcare
• retirement planning
• paid volunteering days
• 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.

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