Manager - Data Engineer at MTN

Responsibilities

The Manager – Data Engineer will be accountable to achieve the following objectives:

• Provide support to the squad to ensure clarity of goals, roles, and responsibilities. Foster a collaborative and self-organizing team culture, promoting trust, motivation, and accountability
• Facilitate the adoption and implementation of Agile methodologies, within the Data team. Support the team with implementation of Agile principles, ceremonies, and practices. Ensure that the team follows Agile processes effectively and continuously improve the Agile implementation
• Responsible for development and implementation of data management strategies to support the software engineering centre of excellence’s goals and objectives 
• Maintain the data infrastructures, including databases, data warehouses and data lakes to ensure availability, reliability and performance of data systems
• Provide support in designing data models and implementing scalable data architectures that support the business objectives
• Ability to review technical designs, troubleshoot complex data issues and provide technical solutions while ensuring adherence to best practices and data standards
• Collaborate with cross-functional teams, including product management, marketing, and engineering, to create innovative and effective technical designs through workshop facilitation and co-creation with internal, external parties
• Work closely with data scientists, analysts and other departments to understand the data needs and provide solutions that align with their requirements
• Leverage knowledge of version control, incremental delivery of software, frequent releases, automation, testing and breakdown of work to meet stakeholder requirements effectively
• Support research initiatives and perform competitive analysis to take drive strategic decision making
• Monitor and evaluate the performance of strategic initiatives and design solutions, providing insights and recommendations for improvement 
• Provide mentorship and guidance to junior data engineers, nurturing a culture of creativity and innovation 
• Facilitate effective communication within the team and across stakeholders. Participate in daily stand-up meetings, along with senior data engineers, to promote transparency, identify and resolve any obstacles or impediments. Ensure regular and clear communication on project progress, risks, and dependencies
• Drive continuous improvement and innovation in data management practice  by adopting new age tools, optimizing data workflows, or introducing innovative solutions

Qualifications

Education:

• Bachelor’s degree in Computer Science, Data Engineering, Information Technology, or a related field 
• Relevant certifications in data engineering or cloud platforms (preferred)

Experience:

• 5+ years of relevant working experience 
• 3-5 years of experience in data engineering or a similar role, preferably within a software engineering or technology-focused organization 
• Expertise in designing and implementing scalable data pipelines and data infrastructures
• Experience in architecting and optimizing data solutions
• Experience of working in a dynamic, fast-paced environment 

Skills:

• Proficiency in programming languages such as Python, Java, or Scala 
• Proficient in using design software (e.g.: Figma and other tools)
• Strong understanding of data processing frameworks and tools (e.g., Apache Spark, Hadoop, Kafka)
• Proficiency in using version control systems and building CI/CD pipelines
• Strong understanding of data modelling, ETL processes and data integration techniques