Lead Data Engineer [Greece]


 

Lead Data Engineer


With you, Chubb is better!

Are passionate with data infrastructure, metrics and coding? Do you love creating pipelines to support business? Would you like to be a member of a fun working environment where your innovative projects make a real impact? Then, check this outstanding opportunity in our new Technology Hub in Greece – CBSG (Chubb Business Services Greece) as a Lead Data Engineer at Thessaloniki.



If you are a tech lover and are raring to develop your career join our growing, pioneer, diverse team within one of the largest companies in the world, we would love to hear from you!

The Opportunity

Your Responsibilities for this role may include, but are not limited to:

Conceptualize, support, and drive the data architecture for multiple large-scale projects as well as recommend solutions to improve processes.

Integrate data from various sources and build robust, multi-functional data assets to support analytics. Responsible for data asset design, development, integration, and optimization.

Must love coding – prepare to spend more than 80% of the time on hands-on development with groundbreaking technologies.

Gatekeeper of end-to-end applications and frameworks ranging from system programming to micro-services to simple front-end applications

Build pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts. Moreover, clean, unify and organize messy and complex data sets for easy access and analysis.

Collaborate with others to understand data needs, representing key data insights in a meaningful way.

Ability to own complete project or a subject area delivery while leading team members in a scrum setting.

Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.

Solve our most exciting data integration problems, applying optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources.

Be the point of reference for solving a challenging technical problem

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