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About this role
<p><strong>Who we are</strong></p>
<p>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.</p>
<p>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.</p>
<p><strong>About the role : </strong></p>
<p>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.</p>
<p><em>Curious about what makes Moniepoint an incredible place to work? <a href="https://moniepoint.com/blog">Check out posts on how we cultivate a culture of innovation, teamwork, and growth.</a></em></p>
<p><strong>What you will get to do</strong></p>
<ul>
<li>Build and maintain robust data pipelines processing large volumes of data</li>
<li>Analysis of large data sets using tools such as Python & SQL</li>
<li>Update and optimize our data platform for speed, scalability and cost</li>
<li>Coordinate with different functional teams to understand and meet their data needs</li>
<li>Develop processes and tools to monitor and analyze model performance and data accuracy</li>
<li>Solve general data-related problems</li>
<li>Setting up new pipelines for the full stream/enrichment/curation process</li>
<li>Upkeep of source code locations</li>
<li>Investigating and utilising ML & AI to improve the cloud offering</li>
<li>Development of junior staff members </li>
</ul>
<p><strong>To succeed in this role, you should have</strong></p>
<ul>
<li>Proven experience as a Data Engineer (5-7+ years, can be made up for with accomplishments)</li>
<li>Strong Leadership experience </li>
<li>Strong problem solving skills</li>
<li>Advanced proficiency with SQL</li>
<li>Proficiency with Python</li>
<li>Experience with cloud platforms (e.g. Google Cloud, AWS, Azure)</li>
<li>Experience using version control tools such as git</li>
<li>Excellent written and verbal communication skills</li>
<li>A drive to learn and master new technologies and techniques</li>
<li>A bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or any other related field</li>
</ul>
<p><strong>Experience with the following would be a plus</strong></p>
<ul>
<li>Data governance</li>
<li>Building and deploying machine learning models</li>
<li>Terraform or other infrastructure as code tools</li>
</ul>
<p><strong>What we can offer you</strong></p>
<ul>
<li>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.</li>
<li>Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.</li>
<li>Compensation - You’ll receive an attractive salary, pension, health insurance, annual bonus, plus other benefits.</li>
</ul>
<p><strong>What to expect in the hiring process</strong></p>
<ul>
<li>A preliminary phone call with the recruiter</li>
<li>A take-home assessment </li>
<li>A technical interview with a Lead in our Engineering Team</li>
<li>A behavioural and technical interview with a member of the Executive team. </li>
</ul>
<p><em>Moniepoint is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.</em></p>
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