Senior Data Engineer

Job not on LinkedIn

🔥 2 hours ago

🇳🇬 Nigeria – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Moniepoint Inc. (Formerly TeamApt Inc.)

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💳 Fintech

🏦 Banking

Fintech • Banking • Payments

Moniepoint Inc. is Africa's all-in-one financial ecosystem that provides seamless solutions in payments, banking, credit, and business management for over 10 million businesses and individuals. Operating as Nigeria's largest merchant acquirer, Moniepoint powers the majority of Point of Sale (POS) transactions in the country. The company processes $17 billion monthly while ensuring profitable operations. With operations starting in 2019, Moniepoint continues to support businesses through its comprehensive financial services platform, making significant strides in financial inclusion across emerging markets.

📋 Description

• Build and maintain robust data pipelines processing large volumes of data • Update and optimise the data platform for speed, scalability, and cost • Coordinate with 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

🎯 Requirements

• 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 such as Google Cloud, AWS, or Azure • Experience using version control tools such as Git • Excellent written and verbal communication skills • Drive to learn and master new technologies and techniques • Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or another related field • Experience with data governance, building and deploying machine learning models, and Terraform or other infrastructure-as-code tools would be a plus

🏖️ Benefits

• Culture prioritising employee well-being, respect, inclusion, and having all voices heard • Learning and development-focused environment • Knowledge sharing, training, and regular internal technical talks • Attractive salary • Pension • Health insurance • Annual bonus • Other benefits