Tesco India Bengaluru, Karnataka, India Hybrid Full-Time Trvalý pracovný pomer Working hours 45 Prihlásiť sa do 18-Júl-2026
O pozícii
Data Engineering, ML Engineering, or Platform Engineering, with experience leading high-performing engineering teams. Sexpertise in Python, SQL, PySpark, distributed computing, and modern Big Data ecosystems. Expertise in distributed processing frameworks such as Spark, Databricks, Kafka, and orchestration tools including Airflow, Dagster, Oozie, or equivalent.
Čo z toho budete mať vy
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.
Za čo budete zodpovedný
Lead the design, development, and optimization of large-scale batch and real-time data platforms using distributed technologies such as Spark, Databricks, Kafka, and cloud-native data services.
Provide technical leadership across Data Engineering and ML Engineering by defining the what, why, and how of scalable data architectures, feature engineering pipelines, ETL/ELT frameworks, and ML platforms.
Own the end-to-end data platform strategy, ensuring high standards for data quality, observability, lineage, governance, reliability, scalability, and performance.
Lead the engineering of production-grade ML solutions, including feature engineering, model training, deployment, monitoring, and continuous improvement.
Partner closely with Data Science, Product Management, Engineering, and Business stakeholders to translate business problems into scalable data and AI products.
Establish engineering best practices for CI/CD, Infrastructure as Code (IaC), model versioning, automated testing, monitoring, and MLOps.
Drive platform modernization initiatives across Data Lakes, Lakehouses, Warehouses, streaming platforms, and cloud-native analytics ecosystems.
Define engineering standards, reusable frameworks, and reference architectures that improve developer productivity and platform reliability.
Lead technical design reviews, architecture discussions, and engineering governance while ensuring alignment with enterprise architecture and security standards.
Build and manage high-performing engineering teams through coaching, mentoring, hiring, career development, and performance management.
Drive execution across multiple concurrent initiatives by balancing technical priorities, delivery commitments, operational excellence, and stakeholder expectations.
Foster a product mindset by enabling data-driven decision making through scalable platforms, analytics, AI, and self-service data capabilities.
Champion innovation by evaluating and adopting emerging technologies, GenAI capabilities, modern data architectures, and engineering best practices.
Čo budete potrebovať
12+ years of experience in Data Engineering, ML Engineering, or Platform Engineering, with experience leading high-performing engineering teams.
Strong hands-on expertise in Python, SQL, PySpark, distributed computing, and modern Big Data ecosystems.
Expertise in distributed processing frameworks such as Spark, Databricks, Kafka, and orchestration tools including Airflow, Dagster, Oozie, or equivalent.
Strong experience designing enterprise-scale Data Lake, Lakehouse, and Data Warehouse architectures supporting analytics and AI workloads.
Deep understanding of ML Engineering and MLOps, including MLflow, Feature Stores, model deployment, monitoring, evaluation, and lifecycle management.
Strong knowledge of distributed data formats and storage technologies, including Parquet, ORC, Delta Lake, Apache Iceberg, and Apache Hudi.
Good understanding of distributed transaction management, workload optimization, partitioning strategies, and performance tuning.
Experience with cloud platforms (AWS, Azure, or GCP) and modern cloud-native data services.
Hands-on experience with Docker, Kubernetes, containerized workloads, and infrastructure automation.
Strong understanding of Unix/Linux environments, Hadoop ecosystem, object storage, and distributed file systems.
Excellent analytical, architectural, debugging, and problem-solving skills with experience solving large-scale data challenges.
Experience implementing engineering best practices including CI/CD, DevOps, Infrastructure as Code, automated testing, observability, and production monitoring.
Leadership Expectations
Lead, mentor, and inspire engineering teams by fostering a culture of ownership, continuous learning, innovation, and operational excellence.
Drive technical strategy and influence engineering roadmaps across multiple products and platforms.
Build strong partnerships with Product, Architecture, Data Science, and Business leaders to deliver measurable business outcomes.
Balance strategic planning with execution, ensuring predictable delivery, engineering quality, and platform reliability.
Champion engineering excellence through architecture reviews, coding standards, design governance, and technical mentoring.
Develop future technical leaders by coaching engineers, enabling career growth, and creating a high-performance engineering culture.
Communicate effectively with senior leadership, providing clear updates on technology strategy, delivery risks, investment priorities, and business impact.
O nás
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.