IND-Bangalore-A, RMZ Infinity
Live, first seen by us 14 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Design and optimize batch and streaming data pipelines in on-prem and Azure
Own data modeling and engineering strategy for analytics
Design and build microservices and backend APIs
Set best practices for data quality, observability and pipeline reliability
Evangelize and drive adoption of Generative and Agentic AI across engineering teams
Design, build, and optimize batch and streaming data pipelines in On Prem and in Azure leveraging Azure services
Own data modeling and engineering strategy for analytics
Design and build microservices and backend APIs, choosing the right compute model for each workload.
Establish best practices for data quality, observability, and pipeline reliability, leveraging Azure services.
Evangelize and drive adoption of Generative & Agentic AI across engineering teams
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· Strong expertise in Database and Data management, advanced expertise in SQL and relational/analytical data modeling for large-scale systems. · Strong proficiency in at least one programming language — Python or Java preferred — with a track record of production-grade code delivery. · Proven experience designing and building microservices architectures, including system design and CI/CD practices.
· Deep data engineering expertise — pipeline design (batch & streaming, ETL/ELT), data modeling, and warehousing for large-scale analytics. · Strong expertise in Database and Data management, advanced expertise in SQL and relational/analytical data modeling for large-scale systems. · Strong proficiency in at least one programming language — Python or Java preferred — with a track record of production-grade code delivery.
Architect, Design and drive/implement engineering deliverables across complex, high-scale data landscapes spanning multiple domains and platforms. Design, build, and optimize batch and streaming data pipelines in On Prem and in Azure leveraging Azure services Own data modeling and engineering strategy for analytics, ensuring data is well-structured, discoverable, and trustworthy across the data estate.
Own data modeling and engineering strategy for analytics, ensuring data is well-structured, discoverable, and trustworthy across the data estate. Establish best practices for data quality, observability, and pipeline reliability, leveraging Azure services. Design and build microservices and backend APIs, choosing the right compute model for each workload.
Apply sound system design and architecture patterns to ensure systems are scalable, maintainable, resilient, event-driven and asynchronous. Champion strong CI/CD and DevOps practices in both On Prem and Azure Act as a hands-on contributor — writing code, reviewing designs, and solving the hardest technical problems alongside the team.
· Proven experience designing and building microservices architectures, including system design and CI/CD practices. · Hands-on experience with at least one major cloud platform, preferably Azure. · Demonstrated experience evangelizing and driving adoption of Gen AI and Agentic AI capabilities within an engineering organization along with exposure to modern GenAI/LLM tooling (e.g., Azure OpenAI, Copilot-style agents, RAG pipelines, prompt engineering, AI-assisted development workflows).
· Hands-on experience with at least one major cloud platform, preferably Azure. · Demonstrated experience evangelizing and driving adoption of Gen AI and Agentic AI capabilities within an engineering organization along with exposure to modern GenAI/LLM tooling (e.g., Azure OpenAI, Copilot-style agents, RAG pipelines, prompt engineering, AI-assisted development workflows). Preferred Skills:
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New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Role Summary:
We are looking for a Principal Engineer who combines deep technical mastery across data platforms and software systems with a forward-looking vision for AI adoption. This is a technical leadership role for an individual who thrives on solving complex, large-scale data problems, designs and builds robust software systems, influences architecture and engineering practices across the organization, and champions the responsible adoption of Generative & Agentic AI. You will work extensively within the data and cloud ecosystem, partnering with senior leaders and stakeholders across the business, while mentoring engineers and setting the standard for engineering excellence, without direct people-management responsibilities!
What You'll Do
Architect, Design and drive/implement engineering deliverables across complex, high-scale data landscapes spanning multiple domains and platforms.
Design, build, and optimize batch and streaming data pipelines in On Prem and in Azure leveraging Azure services
Own data modeling and engineering strategy for analytics, ensuring data is well-structured, discoverable, and trustworthy across the data estate.
Establish best practices for data quality, observability, and pipeline reliability, leveraging Azure services.
Design and build microservices and backend APIs, choosing the right compute model for each workload.
Apply sound system design and architecture patterns to ensure systems are scalable, maintainable, resilient, event-driven and asynchronous.
Champion strong CI/CD and DevOps practices in both On Prem and Azure
Act as a hands-on contributor — writing code, reviewing designs, and solving the hardest technical problems alongside the team.
Leadership & Influence
Partner directly with senior leaders and multi-functional stakeholders to translate business priorities into scalable technical solutions.
Evangelize and drive adoption of Generative & Agentic AI across engineering teams
Provide hands-on technical leadership, mentorship, and coaching to engineers at all levels, elevating engineering standards organization-wide.
Champion a culture of innovation, experimentation, and continuous improvement in engineering practices.
Mandatory Skills:
· 15+ years of progressive experience in data and software engineering, with demonstrated ownership of large, complex data landscapes.
· Deep data engineering expertise — pipeline design (batch & streaming, ETL/ELT), data modeling, and warehousing for large-scale analytics.
· Strong expertise in Database and Data management, advanced expertise in SQL and relational/analytical data modeling for large-scale systems.
· Strong proficiency in at least one programming language — Python or Java preferred — with a track record of production-grade code delivery.
· Proven experience designing and building microservices architectures, including system design and CI/CD practices.
· Hands-on experience with at least one major cloud platform, preferably Azure.
· Demonstrated experience evangelizing and driving adoption of Gen AI and Agentic AI capabilities within an engineering organization along with exposure to modern GenAI/LLM tooling (e.g., Azure OpenAI, Copilot-style agents, RAG pipelines, prompt engineering, AI-assisted development workflows).
Preferred Skills:
· Experience working in the financial services / banking domain, with familiarity in domain-specific data and compliance considerations.
· Track record of collaborating with and influencing senior leadership and executive stakeholders on technical strategy.
· Demonstrated mentorship and technical coaching experience, growing engineers into senior/lead roles.
· A track record of driving innovation initiatives — proof-of-concepts, hackathons, or engineering culture transformation.
What Makes You a Great Fit
An innovative, curious mindset paired with pragmatic execution. You see technology — data and software alike — as a lever for business impact, not just an engineering exercise, and you bring people along on that journey through influence, mentorship, and clarity of communication.
What you’ll get in return:
High-impact projects: We work on a variety of pioneering AI products and leverage extensive datasets to solve high-value challenges.
Competitive benefits: We offer a strong compensation package, comprehensive benefits, and ongoing investment in career growth and skill development.
Industry leadership: We deliver brand-new products that democratize modeling and analytics solutions.
Career progression: 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 ‘digital first’, which requires attending the office at least one day per week while some teams and colleagues choose to collaborate in the office more frequently.
LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
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're proud to have been recognised as a Great Place to Work® in India ‘25
Career Stage:
ManagerLondon 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.
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IND-Bangalore-A, RMZ Infinity
Career progression: 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 ‘digital first’, which requires attending the office at least one day per week while some teams and colleagues choose to collaborate in the office more frequently. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
No clear work-authorization passage found. Eligibility is unconfirmed.