Job Description

Who we are 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. As Nigeria’s largest merchant acquirer, it powers most of the country’s Point of Sale (POS) transactions. Through its subsidiaries, Moniepoint Inc. processes $22 billion monthly for its customers while operating profitably. 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.

Responsibilities

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+ 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

A bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or any other related field

Experience with the following would be a plus:

Data governance

Building and deploying machine learning models

Terraform or other infrastructure as code tools

What we can offer you:

Culture - We put our people first and prioritize the well-being of every team member. We have built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human.

Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.

Compensation - You’ll receive an attractive salary, pension, health insurance, annual bonus, plus other benefits.

What to expect in the hiring process:

A preliminary phone call with the recruiter

A take-home assessment

A technical interview with a Lead in our Engineering Team

A behavioural and technical interview with a member of the Executive team.

Data Engineering Lead

Job Description

Stop applying into silence.

Responsibilities

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