Mama Money

Data Engineer – Intermediate

Mama Money

full-time

Posted on:

Location Type: Remote

Location: South Africa

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Tech Stack

ETLPythonTableau

About the role

  • 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 validation
  • Follow 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

Requirements

  • 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 Python
  • Experience working with dbt
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data engineeringdata analysisbusiness intelligenceanalyticsdata pipelinesETL processesPythondbtdata management best practicesdata validation
Soft Skills
analytical skillsproblem-solving skillscollaborationcommunication skillstime management