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Why this grade This listing scored 57/100, which is a C. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Freshness 12 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Pay transparency 12 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Role specificity 0 / 10 Whether the listing is tagged well enough to tell what the role actually is.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
This listing does not state a salary
$126k – $163k
That is the middle half of what comparable roles paid on this board over the last 90 days — 39 listings that did publish a figure, median $140k. It is not this employer's offer, and we have no idea what they pay. It is only what the rest of the market advertised.
Who we are
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.
Originally posted on Himalayas
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
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Where this listing came from
- 10 Sep 2026 Himalayas first sighting
Seen on 1 board over 0 days.