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Mid LevelFull-timePythonAgileGo
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Data Engineer to build and grow our Data function of our data intelligence, analytics and engineering at Mama Money. This role involves working closely with Product and Development teams to deliver components of the data roadmap.
Key Responsibilities
- →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
