Senior Data Engineer

Moniepoint Inc.; United States; Remote; USD 120,000 - 160,000; Full time

Benefits offered by this job

Culture

Learning opportunities

Competitive compensation

Job summary

Moniepoint Inc. is hiring a Data Engineer to build and maintain robust data pipelines handling large data volumes. You will optimise the data platform for speed, scalability, and cost, and collaborate with cross-functional teams to meet data needs.

Ideal candidates hold 5+ years of data engineering experience, strong SQL and Python skills, and hands-on cloud experience (GCP/AWS/Azure). Excellent communication and a drive to learn are essential.

Qualifications

• 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 (GCP, AWS, Azure).
• Experience using Git.
• Excellent written and verbal communication skills.
• A bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or any other related field.

Responsibilities

• 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.

Skills

SQL

Python

Problem solving

Communication

Data engineering

Education

Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or related field

Tools

Git

Cloud platforms (GCP, AWS, Azure)

Terraform

Job description

Moniepoint Inc. is Africa’s all-in-one financial platform, helping 20 million businesses and individuals access seamless payments, banking, credit, cross-border, and business management tools each month.

As Nigeria’s largest merchant acquirer, we power most of the country’s point-of-sale (POS) transactions. Through our subsidiaries, Moniepoint Inc. processes over $250 billion in digital payment transaction value annually.

About the 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.