Data Engineer at Jubilee Insurance

• The Data Engineer will support the development and optimization of our data and analytics architecture.
• This role involves assisting in the design, construction, and maintenance of scalable data systems, and contributing to the improvement of data analysis and machine learning workflows.

• Assist in maintaining a robust, cloud-native data infrastructure.
• Help to monitor and maintain data pipelines to ensure reliability and performance.
• Support the creation of feature stores and pipelines for machine learning.
• Assist in modelling Enterprise Data Warehouse (EDW) entities while verifying data completeness, accuracy, timeliness, and documentation.
• Contribute to the development of a Self-Service Analytics platform.

• Support adherence to security best practices and compliance with data protection laws.
• Assist in documentation and maintenance of operational runbooks to ensure business continuity.
• Help with the amending/creating and maintaining of the Data Dictionary

• Engage with existing processes, identifying gaps and recommending improvements.
• Ensure development practices align with CI/CD principles and are repeatable.

• Promote and support a data-driven culture across the organisation.
• Build and maintain strong working relationships within the data team and wider business functions.
• Collaborate with team members, learn from technical leads, and contribute ideas to enhance solutions.

• Experience in Python, particularly for data manipulation.
• Strong experience with SQL.
• Intermediate to advanced understanding of data architecture and modelling techniques.
• Exposure to cloud technologies and platform maintenance.
• Intermediate knowledge of ETL and ELT processes.
• Strong communication and collaboration skills.
• Proactive approach to learning and personal development.
• Ability to manage complex tasks and deliver results within deadlines.

• Bachelor's degree in IT, Computer Science, or a related field.

• 2-3 years of project experience in a data-related role.
• Familiarity with data pipeline and workflow management tools is an added advantage.

Jobs in Kenya