Senior Data Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Work mode

Remote From the posting source checked Jun 20, 2026

In-office days

0 days From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

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Application

Cover letter

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Assessment

Required From the posting source checked Jun 20, 2026

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Senior Data Engineer Remote, Bangalore 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 - 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

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