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.
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
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