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.

Job Location: Remote

What you will get to do

• Build and maintain robust data pipelines processing large volumes of data
• Update and optimise 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 analyse model performance and data accuracy
• Solve general data-related problems

To succeed in this role, you should have

• A Bachelor’s Degree in Computer Science, Statistics, Mathematics, Engineering, or any other related field
• Minimum of 5 years of proven experience as a Data Engineer
• 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 prioritise 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, annual bonus, plus other benefits.

What to expect in the hiring process

• A take-home assessment 
• A preliminary phone call with the recruiter
• A technical interview with a Lead in our Engineering Team
• A behavioural and technical interview with a member of the Executive team.