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Key skills for this role
What you will get to do
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
To succeed in this role, you should have
Minimum of 5 years of proven experience as a Data Engineer
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
What we can offer you
Culture -We put our people first and prioritise the well-being of every team member. We’ve 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.
What to expect in the hiring process
A take-home assessment
A preliminary phone call with the recruiter
A technical interview with a Lead in our Engineering Team
A behavioural and technical interview with a member of the Executive team.
Moniepoint is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.
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What you will get to do
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
To succeed in this role, you should have
Minimum of 5 years of proven experience as a Data Engineer
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
What we can offer you
Culture -We put our people first and prioritise the well-being of every team member. We’ve 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.
What to expect in the hiring process
A take-home assessment
A preliminary phone call with the recruiter
A technical interview with a Lead in our Engineering Team
A behavioural and technical interview with a member of the Executive team.
Moniepoint is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.
Nigerian fintech providing an all-in-one payments, banking, and business management platform serving over 1.8 million businesses processing billions monthly.
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