Who we are
Moniepoint Inc. is Africa’s all-in-one financial platform, helping 20 million businesses and individuals access seamless payments, banking, credit, cross-border, and business management tools each month.
As Nigeria’s largest merchant acquirer, we power most of the country’s point-of-sale (POS) transactions. Through our subsidiaries, Moniepoint Inc. processes over $250 billion in digital payment transaction value annually.
About the role
At Moniepoint, data is at the core of everything we do. We are a customer-centric company, and your work will enable our teams to make informed, data-driven decisions that directly impact the success of our business. As a Data Engineering Lead, you will help craft robust, scalable systems that support our business intelligence and data-driven operations. We value leaders who are not only technically adept but also excited about mentoring others and pushing the boundaries of what’s possible with data.
Curious about what makes Moniepoint an incredible place to work? Check out posts on how we cultivate a culture of innovation, teamwork, and growth.




What you will get to do

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

To succeed in this role, you should have

Proven experience as a Data Engineer (5-7+ years, can be made up for with accomplishments)
Strong Leadership experience
Strong problem solving skills
Advanced proficiency with SQL
Proficiency with Python
Expe

📌 Data Engineering Lead (España)
🏢 Moniepoint
📍 España