Let's grow together, become our DATA PIPELINE MANAGER

Bachelor Degree in Computer Science, ICT, Engineering or any related field, Master's Degree is an added advantage

Minimum of 5+ years in data engineering or software development, with at least 3 years focused on building production-grade data pipelines.

CORE RESPONSIBILITIES

• Design and maintain pipelines by creating an agile environment that will ensure scalability while monitoring performance and failures preventions.
• Evaluate new technologies, infrastructure and tools to improve data processing and analysis capabilities.
• Modernise systems and workflows to enhance data organisational efficiency and resilience.
• Coordinate, schedule, and monitor complex workflows in data pipelines.
• Support data product delivery by ensuring reliable and reusable data pipelines.
• Implement rigorous automated testing, data quality checks, validation frameworks, and monitoring alerts to ensure high data integrity and availability.
• Oversee the selection and optimization of data processing tools and cloud infrastructure to balance performance.

COMPETENCES

• Programming Proficiency: Expert-level knowledge of Python or Java/Scala, alongside advanced SQL skills for complex querying and performance tuning.
• Handling large-scale, multi-source data experience on the cloud or multi-platforms sources
• Cloud Expertise: Hands-on experience with major cloud platforms (AWS, Google Cloud Platform, or Azure) and their respective data services.
• Architectural Knowledge: Deep understanding of distributed computing principles, data modelling techniques and data warehouse architecture.

• Design and maintain pipelines by creating an agile environment that will ensure scalability while monitoring performance and failures preventions.
• Evaluate new technologies, infrastructure and tools to improve data processing and analysis capabilities.
• Modernise systems and workflows to enhance data organisational efficiency and resilience.
• Coordinate, schedule, and monitor complex workflows in data pipelines.
• Support data product delivery by ensuring reliable and reusable data pipelines.
• Implement rigorous automated testing, data quality checks, validation frameworks, and monitoring alerts to ensure high data integrity and availability.
• Oversee the selection and optimization of data processing tools and cloud infrastructure to balance performance.

• Expert-level knowledge of Python or Java/Scala
• Advanced SQL skills
• Handling large-scale, multi-source data experience on the cloud or multi-platforms sources
• Hands-on experience with major cloud platforms (AWS, Google Cloud Platform, or Azure) and their respective data services.
• Deep understanding of distributed computing principles, data modelling techniques and data warehouse architecture.

• Bachelor Degree in Computer Science, ICT, Engineering or any related field
• Master's Degree is an added advantage