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
go to method of application »
If you are qualified and seeking an exciting new challenge, please apply via Recruitment@jubileekenya.com quoting the Job Reference Number and Position.
Apply via :
Recruitment@jubileekenya.com
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