Tesco India • Bengaluru, Karnataka, India • Hybrid • Full-Time • Permanent • Working hours 45 • Apply by 17-Aug-2026
About the role
We are seeking a highly experienced Data Engineering & AI Engineering Lead (SDE3) to architect and drive the development of next-generation data and AI platforms. The ideal candidate will be a technical leader with deep expertise in Databricks, Apache Spark, Scala, large-scale distributed systems, and modern Data Engineering practices, Azure Cloud Architecture and Platform Engineering, combined with strong experience in Agentic AI, Enterprise AI solutions, LLM evaluation frameworks, and Agentic AI orchestration.
This role requires someone who can translate business requirements into scalable technical solutions, lead engineering teams through complex implementations, establish engineering standards and best practices, and drive end-to-end delivery of data and AI products. If you are passionate about solving large-scale data challenges, building enterprise-grade AI systems, and mentoring high-performing teams, we'd love to hear from you
What is in it for you
At Tesco, we are committed to providing the best for you.
As a result, our colleagues enjoy a unique, differentiated, market- competitive reward package, based on the current industry practices, for all the work they put into serving our customers, communities and planet a little better every day.
Our Tesco Rewards framework consists of pillars - Fixed Pay, Incentives, and Benefits.
Total Rewards offered at Tesco is determined by four principles -simple, fair, competitive, and sustainable.
Salary - Your fixed pay is the guaranteed pay as per your contract of employment.
Leave & Time-off - Colleagues are entitled to 30 days of leave (18 days of Earned Leave, 12 days of Casual/Sick Leave) and 10 national and festival holidays, as per the company’s policy.
Making Retirement Tension-FreeSalary - In addition to Statutory retirement beneets, Tesco enables colleagues to participate in voluntary programmes like NPS and VPF.
Health is Wealth - Tesco promotes programmes that support a culture of health and wellness including insurance for colleagues and their family. Our medical insurance provides coverage for dependents including parents or in-laws.
Mental Wellbeing - We offer mental health support through self-help tools, community groups, ally networks, face-to-face counselling, and more for both colleagues and dependents.
Financial Wellbeing - Through our financial literacy partner, we offer one-to-one financial coaching at discounted rates, as well as salary advances on earned wages upon request.
Save As You Earn (SAYE) - Our SAYE programme allows colleagues to transition from being employees to Tesco shareholders through a structured 3-year savings plan.
Physical Wellbeing - Our green campus promotes physical wellbeing with facilities that include a cricket pitch, football field, badminton and volleyball courts, along with indoor games, encouraging a healthier lifestyle.
You will be responsible for
- Architect, design, and build highly scalable, secure, and resilient Data Engineering platforms using Databricks, Apache Spark, and Scala.
- Lead the design and implementation of large-scale distributed systems, ensuring high availability, performance, and operational excellence.
- Define and drive the technical roadmap for data platforms, lakehouse architectures, and enterprise data products.
- Design and implement advanced ETL/ELT pipelines capable of processing large-scale batch and real-time workloads.
- Build and govern engineering standards, coding guidelines, architecture principles, and operational best practices across teams.
- Lead end-to-end feature development, from requirement gathering and solution design to implementation, deployment, and production support.
- Collaborate with Product Managers, Architects, Platform Teams, and Business Stakeholders to translate business goals into scalable technical solutions.
- Drive technical excellence through code reviews, architecture reviews, performance optimization, and engineering mentorship.
- Design and implement observability frameworks including monitoring, logging, tracing, alerting, and reliability engineering practices.
- Establish and maintain robust CI/CD pipelines and DevOps practices for data and AI platforms.
- Lead the adoption and implementation of Agentic AI and Enterprise AI solutions across business use cases.
- Design, develop, and orchestrate multi-agent AI systems utilizing modern agent frameworks and orchestration platforms.
- Define and implement LLM evaluation frameworks including quality, reliability, accuracy, safety, performance, and cost optimization metrics.
- Guide teams in selecting the right architecture patterns, technology stack, and engineering practices for long-term success.
- Mentor and develop engineers, enabling them to grow technically and professionally while fostering a culture of ownership and innovation.
- Continuously evaluate emerging technologies, AI advancements, and industry best practices to drive innovation and strategic differentiation.
You will need
- 9+ years of professional software engineering experience with a strong focus on Data Engineering and distributed systems.
- Expert-level experience with Databricks, Apache Spark, and Scala/Python.
- Deep expertise in designing and building scalable, high-throughput, low-latency data platforms and distributed systems.
- Strong understanding of Data Structures, Algorithms, System Design, and Software Engineering principles.
- Proven experience architecting and implementing large-scale ETL/ELT pipelines in enterprise environments.
- Strong expertise in modern Data Lake, Lakehouse, and Data Platform architectures.
- Hands-on experience implementing CI/CD pipelines using tools such as GitHub Actions, Azure DevOps, Jenkins, or similar platforms.
- Experience building observability solutions including monitoring, logging, tracing, alerting, and reliability engineering practices.
- Strong knowledge of data governance, security, privacy, compliance, and data quality frameworks.
- Experience gathering product requirements and converting business needs into scalable technical solutions.
- Demonstrated ability to lead technical initiatives, influence architecture decisions, and drive execution across multiple teams.
- Strong stakeholder management and communication skills, with the ability to work effectively across engineering, product, and business teams.
- Proven track record of mentoring engineers, setting engineering standards, and leading high-performing teams.
Nice-to-Have
- Familiarity with modern AI frameworks including LangGraph, Semantic Kernel, AutoGen, CrewAI, LangChain, or similar orchestration platforms.
- Experience building enterprise-grade RAG systems and knowledge platforms.
- Understanding of MLOps, AIOps, and model lifecycle management.
- Exposure to streaming platforms such as Kafka, Event Hubs, or Pulsar.
- Experience leading organization-wide architecture initiatives and platform modernization efforts.
About us
At Tesco, inclusion is at the heart of everything we do. We believe in treating everyone fairly and with respect, valuing individuality and uniqueness to create a true sense of belonging. Diversity and inclusion are deeply embedded in our values—we treat people how they want to be treated. Our goal is for all colleagues to feel they can be themselves at work, and we are committed to helping them thrive. Across the Tesco group, we are building an inclusive workplace that actively celebrates the cultures, personalities, and preferences of our colleagues, who in turn contribute to the success of our business and reflect the diversity of the communities we serve.
At Tesco Bengaluru, we are proud to be a Disability Confident Committed Employer, highlighting our commitment to creating a supportive environment for individuals with disabilities. We are dedicated to offering equal opportunities for all candidates and encourage applicants with disabilities to apply. Our recruitment process is fully accessible, and we are happy to provide reasonable adjustments during interviews. If you need any accommodations to participate in the recruitment process, please let us know. We are here to ensure that everyone has the chance to succeed.
We also believe in fostering a work environment where you can excel both professionally and personally. Our hybrid model allows you to work flexibly—spend 60% of your week collaborating in person with colleagues at our office locations or local sites, and the rest of the time working remotely. We understand that everyone’s life journey is unique, whether you are starting your career, pursuing passions, or navigating life changes, and we are here to support you. Flexibility is a core part of our culture, and we encourage open conversations about how we can best accommodate your needs, so talk to us throughout your application process on the support required.
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