Data Engineering Lead at Moniepoint Incorporated

Moniepoint Incorporated is a global business payments and banking platform and recently became QED Investors’ first investment in Africa. We are the partner of choice for over 600,000 businesses of all sizes, powering the dreams of SMBs and providing them with equal access to the tools they need to grow and scale.

We are recruiting to fill the position below:

Job Title: Data Engineering Lead

Location: Lagos
Employment Type: Full-time

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.

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 

Requirements
To succeed in this role, you should have:

• A Bachelor’s Degree in Computer Science, Statistics, Mathematics, Engineering, or any other related field
• 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

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’ve 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, paid leave plus other benefits.

Application Closing Date
Not Specified.

How to Apply
Interested and qualified candidates should:
Click here to apply online

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.