31 data engineer Jobs and Work in remote

Data Engineer
Mama Money —Home Based
- Full-time
- Remote
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Data Engineer

Mama Money -
Home Based

Apply Now

Job Details

Full-time

Full Job Description

Who we are:

Mama Money is a growth-stage fintech on a mission to improve the financial lives of migrants and underserved communities across Africa and beyond. What started in 2015 as a cross-border payments service has grown into a multi-product financial platform. We give people the tools to send, save, and manage money — on their own terms, at a socially fair price.

Mama HQ is in beautiful Cape Town, South Africa. We're 150 people strong (and counting), representing 19 countries across Africa, Asia, the UK, and Europe. From remittances to a growing range of financial products, everything we build is in service of people who deserve better. Our culture reflects that same commitment. We look after our team the way we want them to look after our customers. "Just be lekker!" means we trust our talented, diverse people to do what's right and make it happen — simply and with heart.

We've earned a few accolades, built lasting partnerships, and grown our reach in ways we're proud of. We've had good times and tough times, but our focus has never shifted. People over profit, always.

We are looking for a Data Engineer to build and grow our Data function of our data intelligence, analytics and engineering at Mama Money.

As our Data Engineer you will:

Work closely with Product and Development teams to help deliver components of the data roadmap
Gain a strong understanding of the organisation’s data needs and contribute to building accessible, reliable data solutions
Develop an interest across key business areas such as customer acquisition, conversion, retention, commercial performance, and user experience
Build, refine, and deliver data backlog items in collaboration with the Agile development team
Design, build, and maintain data pipelines, integrations, and transformations to support business reporting and analytics
Support data analysis, dashboard development, and self-service analytics by providing clean, well-structured datasets
Implement data management best practices to ensure data quality, consistency, and reliability
Apply techniques for accurate and complete data collection and validationFollow secure and efficient procedures for data handling, storage, and processing
Assist colleagues with data access, extracts, and reporting as required
Monitor data systems and pipelines to identify issues, performance bottlenecks, and opportunities for improvement
Troubleshoot data-related issues and support routine maintenance and enhancements
Help ensure data platforms and databases are protected from data loss and security risks
Analyse data trends and provide well-structured datasets to support informed decision-making

About you:

Experience working as a Data Engineer
Solid understanding of data analysis, BI, and analytics practices
Familiarity with modern databases, data warehouses, and data platforms
Experience with at least one BI tool (e.g. Tableau, Power BI, Qlik)
Strong analytical and problem-solving skills
Ability to work collaboratively with cross-functional teams
Good communication and time management skills
Has experience with building Data pipelines and ETL processes
Needs to be adequate with PythonExperience working with dbt

Why Mama?

At Mama Money, we build products that help people do more with their money, from sending money home, to saving, to accessing money in ways that feel safe & simple. The work we do matters because it helps real people in real ways every day.

We care about making life easier for our customers. We’re not afraid to give things a go, and we take ownership of what we do. We keep learning, support each other, and stay focused on what matters most.

If you’re looking for meaningful work and a team that cares about what they’re building, Mama Money could be the right place for you.

Mama’s values:

Making it easier for customers
Give it a go
Just own it

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Apply Now

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