Operations Manager
Tetra Maritime
Lagos
Nigeria
July 3, 2026
Full-timeJuly 3, 2026
Job Description
Job Overview:
Moniepoint Inc. is Africa's all-in-one financial ecosystem, helping 10 million businesses and individuals access seamless payments, banking, credit, and business management tools since 2019.
Duties and Responsibilities:
Build and maintain robust data pipelines processing large volumes of data; Analysis of large data sets using tools such as Python & SQL; Update and optimize our data platform for speed, scalability and cost; Coordinate with different functional teams to understand and meet their data needs; Develop processes and tools to monitor and analyze model performance and data accuracy; Solve general data-related problems; Setting up new pipelines for the full stream/enrichment/curation process; Upkeep of source code locations; Investigating and utilising ML & AI to improve the cloud offering; Development of junior staff members.
Required Qualifications:
Proven experience as a Data Engineer (5+ years, can be made up for with accomplishments); Strong problem solving skills; Advanced proficiency with SQL; Proficiency with Python; Experience with cloud platforms (e.g. Google Cloud, AWS, Azure); Experience using version control tools such as git; Excellent written and verbal communication skills; A drive to learn and master new technologies and techniques.
Educational Background:
A bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or any other related field.
Experience:
5+ years of experience as a Data Engineer or equivalent accomplishments.
Additional Notes:
Experience with data governance, building and deploying machine learning models, Terraform or other infrastructure as code tools would be a plus.
Moniepoint Inc. is Africa's all-in-one financial ecosystem, helping 10 million businesses and individuals access seamless payments, banking, credit, and business management tools since 2019.
Duties and Responsibilities:
Build and maintain robust data pipelines processing large volumes of data; Analysis of large data sets using tools such as Python & SQL; Update and optimize our data platform for speed, scalability and cost; Coordinate with different functional teams to understand and meet their data needs; Develop processes and tools to monitor and analyze model performance and data accuracy; Solve general data-related problems; Setting up new pipelines for the full stream/enrichment/curation process; Upkeep of source code locations; Investigating and utilising ML & AI to improve the cloud offering; Development of junior staff members.
Required Qualifications:
Proven experience as a Data Engineer (5+ years, can be made up for with accomplishments); Strong problem solving skills; Advanced proficiency with SQL; Proficiency with Python; Experience with cloud platforms (e.g. Google Cloud, AWS, Azure); Experience using version control tools such as git; Excellent written and verbal communication skills; A drive to learn and master new technologies and techniques.
Educational Background:
A bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or any other related field.
Experience:
5+ years of experience as a Data Engineer or equivalent accomplishments.
Additional Notes:
Experience with data governance, building and deploying machine learning models, Terraform or other infrastructure as code tools would be a plus.
Info
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