Principal Engineer – Data Platforms, Azure & GenAI
LSEG is hiring a Principal Engineer – Data Platforms, Azure & GenAI in Bengaluru, India. Level rates it ; you can apply on LSEG.
Level's read on this job
- Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include OpenAI, Copilot and Azure OpenAI.
- Level classifies it as a lead role.
- Level lists 671 other open roles at LSEG.
- The role was posted in the last few days.
AI in this role
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.
How we rate this
Principal Engineer – Data Platforms, Azure & GenAI at LSEG rates 63 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How would you design a retrieval step so the model answers from real data instead of guessing?
- What are the limits of OpenAI that you've run into, and how did you work around them?
- What's a project where you used Copilot hands-on?
- Walk me through how you've used Azure OpenAI in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Prompt engineering, RAG, OpenAI, Copilot, and Azure OpenAI. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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