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Chubb

Global property & casualty insurer

Lead Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in computer science, Information Systems, Data Engineering, or a related field is required; a master's degree is preferred.
  • A minimum of 12 years of experience in data engineering roles is required; significant experience in life insurance domains is preferred.
  • A proven track record of successful implementation of data architecture within large-scale transformation programs or projects is required.
  • Proficiency in Python, Scala, and SQL, with hands-on experience building and optimizing data pipelines, is required.
  • Experience with DevOps and DataOps practices, including CI/CD pipeline automation and Git version control, is required.
  • Comprehensive knowledge of data modeling techniques and methodologies, including data normalization and denormalization, is required.
  • Hands-on expertise across databases including Azure SQL, MongoDB, and Cosmos; data transformation technologies including Databricks; and change data capture and data streaming technologies including Apache Kafka and Apache Flink is required.
  • Expertise in data warehousing concepts, ETL processes, and data integration tools such as Databricks is required.
  • Experience with cloud-based data architectures and platforms such as Snowflake, Azure SQL Database, and Databricks is required.
  • Expertise in data security patterns such as tokenization and encryption is required.
  • Knowledge of insurance policy operations, regulations, and compliance frameworks is required.
  • Familiarity with Agile methodologies and experience working in Agile project environments is required.
  • Understanding of advanced analytics, AI, and machine learning concepts as they pertain to data architecture is required.

Responsibilities

  • Lead the design and development of comprehensive data engineering frameworks and patterns.
  • Establish engineering design standards and guidelines for creating, using, and maintaining data across Chubb Life.
  • Drive innovation and build scalable real-time data pipelines and data platforms to support business needs.
  • Mentor and lead a business-focused, proactive, and resilient data engineering organization.
  • Implement strategies to monitor the effectiveness of data management.
  • Serve as an engineering leader, coach data engineers, and 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 data management framework emphasizing data quality, governance, and regulatory compliance.
  • Collaborate with Data Modelers to create conceptual, logical, and physical data models.
  • Design and implement metadata management processes to document and communicate data lineage, definitions, and ownership.
  • Collaborate with business leaders, IT teams, and external partners to understand data requirements and align with strategic goals.
  • Serve as a primary point of contact for data engineering discussions and inquiries from stakeholders.
  • Lead implementation of data architectures on Azure cloud platforms to improve efficiency and scalability.
  • Build and implement CI/CD and DevOps practices for data pipelines (DataOps).

Desired Qualifications

  • Significant experience in life insurance domains is preferred.

About the Company

Chubb

Global property & casualty insurer

Chubb is the world’s largest publicly traded property and casualty insurer, offering commercial and personal insurance, reinsurance, life and health products across 54 countries. It underwrites policies by evaluating risk, pricing premiums, and paying claims fairly and promptly when covered events occur. Its breadth of products, extensive distribution, and strong financial position distinguish it from competitors and enable it to serve diverse clients globally. Its goal is to help people and businesses manage risk with clear policy terms and reliable financial protection.

Company size
10,001+
Company stage
IPO
Headquarters
Zurich, Switzerland
Founded
1985

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