Jobs at Moniepoint Inc.

About the role

• Engineering at Moniepoint is an inspired, customer-focused community committed to pushing the boundaries of what is possible. Our R&D team takes this even further—leading exploration, experimentation, and innovation efforts that inform the entire organization.
• Our Research & Development (R&D) team operates at the group level, driving innovation, guiding technical strategy, and shaping the next generation of financial technology across all our business units.
• This is a rare opportunity to work at the center of our most forward-thinking initiatives, helping us imagine, design, and build what comes next. You will work on projects that span multiple domains, from designing next-generation architectures to powering new business lines, modernizing infrastructure, and shaping future-facing strategies around AI, security, KYC, automation, and more.
• If you’re excited about solving complex problems, experimenting with cutting-edge technologies, and building the future of fintech from the ground up, this role is for you.

What You'll Be Doing

• Collaborate on ideation, prototyping, and execution of new revenue-generating products and businesses.
• Lead early-stage technical design and market-fit experiments.
• Design scalable, production-ready backend systems.
• Spearhead key initiatives such as implementing an API Gateway, rethinking architecture patterns, and modernizing our CI/CD and security infrastructure.
• Contribute to group-wide strategies in areas like AI adoption, KYC modernization, change management, and long-term technical planning.
• Partner with multiple business units to align R&D outcomes with group objectives.
• Identify inefficiencies and transform existing workflows, systems, and tools to boost operational excellence.
• Drive developer experience improvements through automation, refactoring, and standardization.
• Assess, experiment with, and recommend emerging technologies for adoption across the organization.
• Support engineering teams with innovation initiatives and guide toolchain modernization.
• Write clean, maintainable, well-documented code with a focus on reliability and testability.
• Debug complex issues and provide technical guidance across multiple stacks.
• Participate in code reviews, architectural discussions, and knowledge-sharing sessions.
• Document systems, decisions, experiments, and methodologies to support transparency across teams.

What We're Looking For

• We’re seeking innovative, curious, and highly skilled engineers who are driven to build what doesn’t yet exist. You thrive at the intersection of research and execution while being comfortable exploring cutting-edge ideas and grounding them in strong engineering principles. 
• Strong backend engineering expertise, with the ability to design and implement scalable, reliable systems from scratch.
• Energized by ideation, rapid prototyping, and validating new business opportunities through technical experimentation.
• Strategic mindset and can contribute to architecture evolution, including API gateways, CI/CD modernization, security enhancements, and platform-wide improvements.
• Comfortable working across multiple domains including AI, KYC, infrastructure, automation, change management, and can adapt quickly as priorities evolve.
• Partners with diverse stakeholders across business units to align technology initiatives with organizational goals.
• Keen eye for identifying inefficiencies and a passion for modernizing processes, tool chains, and developer workflows.
• Debugs complex issues, providing technical leadership across stacks, and elevating engineering standards.
• Excels at documentation and transparency, ensuring that experiments, decisions, and systems are well-understood across teams.

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About the Role

• 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

Requirements
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