Head of Data Engineering at Jubilee Insurance

Job Ref. No. JLIL064

Main Purpose of the Job (Job Summary)

The role holder will be responsible for leading a team of data engineers to design and deliver a data engineering solution for our internal and external facing business lines. The role holder will leverage on strategic planning, business analysis and technical knowledge of data engineering, tools, and data architecture definition. In addition to managing Jubilee Group’s portfolio of datasets, the role holder will play key roles in helping our data scientists to leverage these datasets effectively.

Main Responsibilities

Contribute to value data from EDM and business perspective:

• Using architectures and data engineering techniques to design and provide tools dedicated to data extraction, analysis, and enhancement (build common service layers as much as possible)
• Perform research and analysis (including technological watch) as needed to understand market trends and impact
• Contribute to build & maintain the global analytic environment of SGL (which includes Data Science & Big data platform, Data Catalog and Data Capture tools) to ease exploitation of data
• Take part in the strategic comity for Data Analytics Solution
• Ensure compliance with policies related to Data Management and Data Protection, in close relationship with the Data Protection Officer, Security & Risk regulation teams

Support innovation:

• Contribute to build data engineering pipelines & API for Data Science / Big Data applications
• Take active part in data architecture conception, environments design, core components development based on conceptual architecture/design, etc.
• Design, manage and support PoC, contribute to the choice of tools (build or buy) with all the team & the Group, test solutions. Identify and challenge partners and providers when relevant.
• Document services and build all relevant documentation

Collaborate and communicate:

• Act as an SME and tech lead / veteran for any data engineering question and manage data engineers within the Data Analytics Solution organization.
• Promote data cultural change within the division to build a data-driven company (convince people of the importance of data, how it should be managed and used, …)
• Collaborate with SGL local teams, FIT department colleagues, IT SME (functional, data, solution and technical architects, data scientists, innovators, business experts…)
• Promote services, contribute to the identification of innovative initiatives within the Group, share information on new technologies in dedicated internal communities.

Academic Qualifications

• Bachelor’s degree in Statistics, Software Engineering, Engineering, Machine Learning, Mathematics, Computer
• Science, Economics, or any other related quantitative field.
• Python/R integration (preferred)

Experience

• A minimum of 5 years’ experience in BI developments with a preference for the finance or insurance industry
• Proven experience (5+ years) writing complex SQL / NoSQL statements and ETL processes
• Proven experience (3+ years) on Big Data technologies such as Hadoop, Spark, Elastic, etc.
• Development & coding design in parallelized/distributed environments, preferably in cloud environment (AWS / Azure)

Closing date: 27 May 2022