Nigeria Job Openings
Moniepoint
Data Engineering Lead
Lagos
September 17, 2024
Moniepoint is Africa's all-in-one financial ecosystem, empowering businesses and their customers with seamless payment, banking, credit, and management tools. In 2023, we processed $182 billion and are Nigeria's largest merchant acquirer.
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
- 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
- Data governance
- Building and deploying machine learning models
- Terraform or other infrastructure as code tools
- 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.
- 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.
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