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.