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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. 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\u002FELT 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\u002FELT frameworks, orchestration, and data integration across databases including SQL Server, PostgreSQL, Oracle, and Azure data services. CORPORATE 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\u002FSQL, T-SQL, or equivalent database programming languages. Databases: PostgreSQL, SQL Server and No SQL Server Data Engineering: Azure Data Factory, ETL\u002FELT 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 \u002F Azure DevOps, CI\u002FCD Pipelines Experience with Microsoft Purview, data governance frameworks, and enterprise metadata management will be helpful. We're proud to have been recognised as a Great Place to Work® in India ‘25 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 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. If you want to apply for a job, please click the Apply button. You will then be redirected to our Careers sign-in page where you can enter your existing credentials or set up an account with us. If there is nothing that currently suits you, feel free to send us your Resume\u002FCV LSEG (London Stock Exchange Group) 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 culture of connecting, creating opportunity and delivering excellence shapes how we think, how we do things and how we help our people fulfil their potential. Our Data & Analytics, Capital Markets and Post Trade divisions have a combined power that provides a comprehensive, integrated suite of trusted financial market infrastructure services to help our customers pursue their ambitions. Explore our divisions LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across Europe, the Middle East, Africa, North America, Latin America and Asia Pacific. Find out more Get to know some of our people who are pushing the boundaries of technology, finance and more around the world.",{"@type":18,"name":19},"Organization","IND201 Refinitiv India Shared Services Private Limited","2026-10-28","2027-10-28",[23],{"@type":24,"address":25,"geo":30},"Place",{"@type":26,"addressLocality":27,"addressCountry":28,"addressRegion":29},"PostalAddress","Bengaluru","IN","Karnataka",{"@type":31,"latitude":32,"longitude":33},"GeoCoordinates",12.9940544,77.661129,"ONSITE",[36],"PERMANENT",[38],"Financial markets infrastructure and data",[40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92],"Java","Python","SQL","PL\u002FSQL","T-SQL","Microsoft Azure","Azure Data Factory","Azure Data Lake Storage","Azure Event Hubs","Azure Functions","Azure API Management","Docker","Kubernetes","GitHub Actions","Azure DevOps","CI\u002FCD Pipelines","Spring Boot","Spring Cloud","REST APIs","GraphQL","Microservices","PostgreSQL","SQL Server","NoSQL","Microsoft Purview","ETL\u002FELT","Generative AI","Agentic AI","Prompt Engineering","Leadership","Problem-solving","Communication","Stakeholder management","Mentoring","Software Engineering","Database Engineering","Data Modelling","Query Optimization","Performance Tuning","Cloud Architecture","Data Governance","Data Security","Data Quality","Data Lineage","Compliance","AI Governance","Enterprise Data Platforms","Analytics","ETL\u002FELT Frameworks","Data Integration","Orchestration","Architectural Reviews","Technology Modernization",{"@type":94,"currency":95,"value":96},"MonetaryAmount","INR",{"@type":97,"minValue":98,"maxValue":99,"unitText":100},"QuantitativeValue",3000000,5000000,"YEAR",[32],[33],"permanent",[105],"FULL_TIME",[105],"onsite","estimated",[110,111,112,113],"Healthcare","Retirement planning","Paid volunteering days","Wellbeing initiatives",[110,111,112,113],"financial markets infrastructure and data",[117],"ind201, ind-bangalore-a, rmz infinity, india",[119],"RMZ Infinity, Old Madras Rd, Sadanandanagar, Bennigana Halli, Bengaluru, Karnataka 560038, Indien",[121],"Old Madras Road",[27],[124],"560038",[126],"Indien",[28],"## About Us\n\nLSEG (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.\n\n## Senior Lead Engineer (GG13)\n\nAt 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\n\n## Key Responsibilities:\n\n- Design and develop scalable, high-performance enterprise applications using Java and related technologies.\n- Lead migration of legacy on-premises applications, databases, and data platforms to modern cloud-native architectures.\n- Drive architectural reviews, technology modernization initiatives, and engineering procedures across teams.\n- Mentor engineers and provide technical leadership in database engineering, cloud architecture, data management, analytics, and AI adoption.\n- Stay up to date with emerging trends in cloud computing, analytics, artificial intelligence, and enterprise data platforms.\n- Develop and maintain high-performance SQL queries, stored procedures, views, APIs, and data services to support critical business applications.\n- Design, build, and optimize ETL\u002FELT pipelines for ingesting, transforming, and integrating data from structured and unstructured sources.\n- Implement governance, security, data quality, lineage, and compliance controls across enterprise data platforms.\n\n## Required Skills:\n\n- Drive adoption of AI, establish guidelines for responsible AI, AI governance, Strong programming skills in languages such as Java, Python, SQL.\n- Deep expertise in SQL, database design, data modelling, query optimization, and performance tuning.\n- Strong proficiency in cloud platforms, particularly Microsoft Azure, including Data Lake Storage, Event Hubs, Functions, and API Management.\n- Solid understanding of ETL\u002FELT frameworks, orchestration, and data integration across databases including SQL Server, PostgreSQL, Oracle, and Azure data services.\n- CORPORATE Strong knowledge of security, governance, compliance, and operational excellence practices.\n- Excellent leadership, problem-solving, communication, and stakeholder management skills.\n\n## Required Qualifications:\n\n- 12+ years of experience in, Software Engineering, Database technologies, Analytics, and Enterprise Data Platforms.\n- Bachelor’s degree or equivalent in computer science, Engineering, Information Systems, or a related field.\n- Microsoft certifications such as Azure AI Engineer Associate, Azure Solutions Architect, or Fabric Analytics Engineer Associate would be advantageous.\n\n## Technical Skills\n\n- Core Technologies Java, Spring Boot, Spring Cloud REST APIs, GraphQL, Microservices\n- Strong proficiency in SQL, PL\u002FSQL, T-SQL, or equivalent database programming languages.\n- Databases: PostgreSQL, SQL Server and No SQL Server\n- Data Engineering: Azure Data Factory, ETL\u002FELT Frameworks, Data Lake Storage\n- Agentic AI & Generative AI: AI Agents & Multi-Agent Systems, Prompt Engineering.\n- Cloud & DevOps: Microsoft Azure (preferred), Docker and container orchestrations, GitHub Actions \u002F Azure DevOps, CI\u002FCD Pipelines\n- Experience with Microsoft Purview, data governance frameworks, and enterprise metadata management will be helpful.\n\nWe're proud to have been recognised as a Great Place to Work® in India ‘25\n\nCareer Stage: Manager\n\nLondon Stock Exchange Group (LSEG) Information:\n\nJoin 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.\n\nLSEG 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.\n\nOur 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.\n\nWorking 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.\n\nYou 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.\n\nLSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.\n\nPlease 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.\n\nIf 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.\n\nIf you want to apply for a job, please click the Apply button. You will then be redirected to our Careers sign-in page where you can enter your existing credentials or set up an account with us.\n\nIf there is nothing that currently suits you, feel free to send us your Resume\u002FCV\n\nLSEG (London Stock Exchange Group) 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.\n\nOur culture of connecting, creating opportunity and delivering excellence shapes how we think, how we do things and how we help our people fulfil their potential.\n\nOur Data & Analytics, Capital Markets and Post Trade divisions have a combined power that provides a comprehensive, integrated suite of trusted financial market infrastructure services to help our customers pursue their ambitions. Explore our divisions\n\nLSEG is headquartered in the United Kingdom, with significant operations in 70 countries across Europe, the Middle East, Africa, North America, Latin America and Asia Pacific. Find out more\n\nGet to know some of our people who are pushing the boundaries of technology, finance and more around the world.",{"sql":130,"java":130,"nosql":131,"t-sql":131,"docker":131,"pl\u002Fsql":131,"python":131,"etl\u002Felt":131,"graphql":131,"rest apis":131,"agentic ai":131,"kubernetes":131,"postgresql":131,"sql server":131,"spring boot":131,"azure devops":131,"spring cloud":131,"generative ai":131,"microservices":131,"github actions":131,"azure functions":131,"ci\u002Fcd pipelines":131,"microsoft azure":130,"azure event hubs":131,"microsoft purview":132,"azure data factory":131,"prompt engineering":131,"azure api management":131,"azure data lake storage":131},4,3,2,[40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68],{"leadership":130,"problem-solving":130,"communication":130,"stakeholder management":130,"mentoring":130},[69,70,71,72,73],{"analytics":130,"compliance":131,"data lineage":131,"data quality":131,"ai governance":131,"data security":131,"orchestration":131,"data modelling":130,"data governance":131,"data integration":131,"cloud architecture":130,"etl\u002Felt frameworks":131,"performance tuning":130,"query optimization":130,"database engineering":130,"software engineering":130,"architectural reviews":131,"technology modernization":131,"enterprise data platforms":130},[74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92],{"detected_language_jobad":139,"required":140},"en",[141],[142],{"language":143,"level":144},"ENGLISH","C1",12,[147,148],"Software and applications developers and analysts","Database and network professionals",[147,148],"https:\u002F\u002Flseg.wd3.myworkdayjobs.com\u002Fen-us\u002Fcareers\u002Fjob\u002Find-bangalore-a-rmz-infinity\u002Fsenior-lead-engineer_r0124316",1]