Senior Data Engineer

Chubb is a world leader in insurance. With operations in 54 countries and territories, 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. The company is defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&P 500 index. Chubb employs approximately 40,000 people worldwide.

Chubb launched its third Engineering Center in Thessaloniki in 2022. Our rapidly expanding new Chubb Engineering Center in Greece (CECG) is integrated with the Engineering Centers in India and Mexico to support our global technology needs and digital business transformation, as well as the company's operations in the Europe - Middle East - Africa region operating in 27 countries.

Overview

Chubb is looking for a Senior Data Engineer to join our team.  This is a permanent full-time position and a compelling opportunity to join a global, growing, financially stable and successful company.  As an industry leader, Chubb is an employer of choice for skilled technology professionals aspiring to develop a meaningful career in a fast-paced, diverse company with offices in most major cities in the world. 

Responsibilities:

• • • Design and implement well tested scalable data engineering solutions establishing process to ensure best practices and architectural principles while being responsible for all stages of the development lifecycle, from design and coding to integration, optimization, deployment, and support. 

  • • Lead collaboration with stakeholders to assess data needs, capturing key insights in comprehensive documentation.  

  • • Design scalable data infrastructure ensuring security and compliance standards. 

  • • Organize, unify and optimize data from multiple structured and unstructured sources and environments to build robust, multi-functional data assets that support analytics. 

  • • Establish development processes that ensure high code quality and uniformity of the data pipelines. 

  • • Conduct thorough code reviews to promote best practices are being followed. 

  • • Design and implement sophisticated data models that support multiple use cases across different products and domains. 

  • • Tackle challenging data engineering problems that might include communications with our vendors. 

  • • Provide estimates and unblock team members to meet project deadlines. 

  • • Improve existing development processes