Principal Engineer – Data Platforms, Azure & GenAI

IND201 Refinitiv India Shared Services Private Limited; Bengaluru; Hybride; INR 2 500 000 - 4 500 000; Plein temps

Avantages offerts par ce poste

Hybrid work model

Healthcare benefits

Retirement planning

Volunteer days

Résumé du poste

London Stock Exchange Group is seeking a Principal Engineer in Bengaluru to lead data-platform and software engineering efforts, shaping architecture and guiding the adoption of Generative & Agentic AI. You will design robust batch/streaming pipelines, modern data models, and scalable microservices while mentoring engineers across teams.

The role emphasizes hands-on contribution, strong engineering standards, and a hybrid work model with some in-office collaboration.

Qualifications

• 15+ years in data and software engineering with ownership of large data landscapes.
• Deep data engineering: batch/streaming, modeling, warehousing for analytics.
• SQL and relational data modeling for large-scale systems.

Responsabilités

• Architect and drive data pipelines and systems across domains.
• Design microservices, APIs, and scalable architectures with CI/CD.
• Mentor engineers and drive Gen AI adoption across teams.

Connaissances

Data platforms

Software engineering

Azure

Gen AI adoption

CI/CD

Mentorship

Formation

Bachelors in CS or equivalent

Outils

Azure OpenAI

Copilot-style agents

RAG pipelines

Kubernetes

CI/CD tooling

Description du poste

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.

Company Equality Statement

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.

About LSEG

We are 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 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.