About the Job

The jobholder shall be responsible for implementing robust data pipelines that collect, process, and store data from various sources. The person shall design and maintain pipelines while ensuring data quality and reliability and collaborating with cross-functional teams to enable data-driven decision-making across the organization.

Responsibilities

Supervise and guide a team of data engineers to ensure timely delivery of data engineering projects, including the day to day administration of business intelligence platforms, tools and pipelines.
Plan, prioritize, and execute data engineering initiatives within established timelines and budgets and collaborate closely with cross-functional teams to identify business challenges, opportunities, and data-driven solutions.
Track project progress, address challenges, and ensure alignment with organizational objectives, define, measure, and track key performance indicators (KPIs) to monitor organizational and departmental performance.
Design, build, and maintain scalable business intelligence platform, tools and data pipelines while ensuring that the data platforms infrastructure is optimized for performance and reliability.
Supervise Data Engineering team in defining the data management and analytics strategic roadmap and align it with the organization’s objectives.
Integrate data from various systems, including structured and unstructured data sources, to create unified datasets and collaborate with data analytics and data science teams to support advance analytics and machine learning.
Supervise rollout of new enhancements across data platforms, including upgrades, relevant API deployments.
Assist in monitoring and maintaining the data infrastructure, ensuring high availability and performance, troubleshoot and resolve technical issues related to data storage, processing, and retrieval.
Implement processes to validate and monitor data quality, ensuring consistency and accuracy across systems.
Create and maintain documentation for the business intelligence platforms, tools, data pipelines, workflows, and infrastructure.
Define and enforce coding standards and best practices for data engineering.
Ensure data pipelines and storage systems adhere to security protocols and data privacy regulations.

Requirements

Bachelor’s degree in Computer Science, Data Science, Information Technology/Business Information Technology, Artificial Intelligence, Machine Learning, Economics, Statistics, Mathematics, Engineering or a related field.
Four (4) years relevant work experience, one (1) of which must be at Supervisory level.
Management Course lasting not less than four (4) weeks from a recognized institution, will be an added advantage.
Membership to a relevant professional body where applicable.
Practicing License where applicable.
Proficiency in Computer Applications.
Innovative thinking.
Organizational skills.
Resilience and Adaptability.
Critical Thinking and Problem-Solving.
Customer-Centrism Approach.
Professionalism, Ethical Judgment and Integrity.