Data Engineer at Jubilee Insurance

Job Ref. No: JLIL331

Role Purpose

• 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.

Key Responsibilities

Technical Support (60%)

• 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.

Governance & Data Protection (10%)

• 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 

Process Improvement (10%)

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

Team Collaboration (20%)

• 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.

Key Skills and Competencies

• 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.

Academic Qualifications

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

Relevant Experience

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