Chubb
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Hyderabad · Hybrid · 5-8 Yrs · Sep 21
Insurance Carriers · 10000+ Employees · Zürich, Switzerland
Chubb is the world’s largest publicly traded property and casualty insurer. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. Chubb is defined by its extensive offerings, broad distribution capabilities, exceptional financial strength and local operations globally. The company serves multinational corporations, mid-size and small businesses with property and casualty insurance and risk engineering services; affluent and high net worth individuals with substantial assets to protect; individuals purchasing life, personal accident, supplemental health, homeowners, automobile and specialty personal insurance coverage; companies and affinity groups providing or offering accident and health insurance programs and life insurance to their employees or members; and insurers managing exposures with reinsurance coverage.
Hiring: Engineering
What employees say
+ All the things good here.
− Management side need to be good.
More reviews on the company profile.
Interview experience · AI Engineer
Took 1 week for response. Interview was smooth and i am currently on the final round of the interview process. Most of the focus was on basics and how well you understand them. LLM, Fine tuning and RAG were mostly asked.
Average difficulty · Bengaluru · 142 reports
More interview insightsJob description
Overview
Chubb is a world leader in insurance.
Responsibilities
- Lead the design and development of comprehensive data engineering frameworks and patterns.
- Establish engineering design standards and guidelines for the creation, usage, and maintenance of data across Chubb Life
- Drive innovation and build highly scalable real-time data pipelines and data platforms to support the business needs.
- Act as mentor and lead for the data engineering organization that is business-focused, proactive, and resilient.
- Implement strategies to monitor the effectiveness of data management.
- Serve as an engineering leader, coach data engineers and actively contribute to the data leadership team.
- Evaluate emerging data technologies and determine their business benefits and impact on the future-state data platform.
- Develop and promote a strong data management framework, emphasizing data quality, governance, and compliance with regulatory requirements
- Collaborate with Data Modelers to create data models (conceptual, logical, and physical)
- Design and implement meta-data management processes to ensure data lineage, data definitions, and ownership are well-documented and understood
- Collaborate closely with business leaders, IT teams, and external partners to understand data requirements and ensure alignment with strategic goals
- Act as a primary point of contact for data engineering discussions and inquiries from various stakeholders
- Lead the implementation of data architectures on cloud platforms (Azure) to improve efficiency and scalability
- Build and Implement the CI/CD and DevOps practices for data pipelines (DataOps)
Qualifications
- Bachelor’s degree in computer science, Information Systems, Data Engineering, or a related field; Master’s degree preferred
- Minimum of 12 years’ experience in data engineering roles, with a significant focus in Life insurance domains preferred.
- Proven track record of successful implementation of data architecture within large-scale transformation programs or projects
- Proficiency in programming languages including Python, Scala, and SQL, with hands-on experience in building and optimising data pipelines
- Comprehensive knowledge of data modelling techniques and methodologies, including data normalization and denormalization practices
- Hands on expertise across a wide variety of database (Azure SQL, MongoDB, Cosmos), data transformation (Databricks), change data capture and data streaming (Apache Kafka, Apache Flink) technologies
- Proven Expertise with data warehousing concepts, ETL processes, and data integration tools (e.g., Databricks)
- Expertise in ensuring data security patterns (e.g. tokenization, encryption)
- Knowledge of insurance policy operations, regulations, and compliance frameworks
- Familiarity with Agile methodologies and experience working in Agile project environments
- Understanding of advanced analytics, AI, and machine learning concepts as they pertain to data architecture
- Be at the forefront of digital transformation in the insurance industry.
- Lead impactful initiatives that simplify claims processing and enhance customer satisfaction.
- Work alongside experienced professionals in a collaborative, innovation-driven environment.
- Industry leader: Chubb is a world leader in the insurance industry, powered by underwriting and engineering excellence
- A Great Place to work: Chubb India has been recognized as a Great Place to Work® for the years 2023-2024, 2024-2025 and 2025-2026
- Laser focus on excellence: At Chubb we pride ourselves on our culture of greatness where excellence is a mindset and a way of being. We constantly seek new and innovative ways to excel at work and deliver outstanding results
- Start-Up Culture: Embracing the spirit of a start-up, our focus on speed and agility enables us to respond swiftly to market requirements, while a culture of ownership empowers employees to drive results that matter
- Growth and success: As we continue to grow, we are steadfast in our commitment to provide our employees with the best work experience, enabling them to advance their careers in a conducive environment
- Savings and Investment plans: We provide specialized benefits like Corporate NPS (National Pension Scheme), Employee Stock Purchase Plan (ESPP), Long-Term Incentive Plan (LTIP), Retiral Benefits and Car Lease that help employees optimally plan their finances
- Upskilling and career growth opportunities: With a focus on continuous learning, we offer customized programs that support upskilling like Education Reimbursement Programs, Certification programs and access to global learning programs.
- Health and Welfare Benefits: We care about our employees’ well-being in and out of work and have benefits like Hybrid Work Environment, Employee Assistance Program (EAP), Yearly Free Health campaigns and comprehensive Insurance benefits.
- Step 1: Submit your application via the Chubb Careers Portal.
- Step 2: Engage with our recruitment team for an initial discussion.
- Step 3: Participate in HackerRank assessments/technical/functional interviews and assessments (if applicable).
- Step 4: Final interaction with Chubb leadership.
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Job application FAQ
Last updated 5 October 2026
- How do I apply for Lead Data Engineer at Chubb?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Chubb may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Lead Data Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Lead Data Engineer remote or on-site in Hyderabad, Telangana?
- This listing is marked hybrid with location Hyderabad, Telangana. Confirm details on the job description before applying.
- What skills matter for this Lead Data Engineer role at Chubb?
- This is a lead Lead Data Engineer role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.