Description review
Senior Data Engineer
Moniepoint · Nigeria · back to the listing
HR standards
68/100
needs work
Title ↔ description
96/100
strong
Reads as
Data Engineer
100% confident
How others title the same work
Large employers
- Data Engineer, Product Analytics Meta
- Senior Staff Data Engineer Mozilla
- Staff, Analytics Engineer, GTM Data Science & Analytics Twilio
- Senior Software Engineer - Data Platform Coinbase
- Senior Security Data Engineer Doordash
Startups
- Business Intelligence Engineer GoSats
- IPinfo.io | Data Engineer | REMOTE (Anywhere) | Full-time IPinfo.io
- Senior Data Engineer Camber
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- Cardog | Toronto, Canada or REMOTE | Full-time Cardog
What the listing never says
- 24 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
- No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
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
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