We are looking for a Senior Analytics Engineer to join our team at M-KOPA. Build the analytics infrastructure that powers data-driven decisions across our FinTech platform serving millions in Africa.
Required Experience:
- Dimensional data modelling for analytics / data warehouses / big data infrastructures
- High proficiency in SQL (any dialect)
- Programming in Python, Java or other language
- Deep understanding of data warehouse technologies
- Hands-on with BI tools such as Looker or Tableau
- Track record using transformation tools such as dbt
- Practical experience with orchestration systems such as Airflow
- Strong communication skills with proven ability to explain technical concepts to non-technical audiences
What You’ll Do –
You’ll own analytics datasets and pipelines for specific product domains with real-world impact. Our analytics engineers have full autonomy to drive the analytics direction for their areas – from defining success metrics to building self-serve capabilities. Join us in combining cutting-edge data engineering with purpose-driven analytics.
Technical Environment
- Modern Analytics Stack: SQL and Python in dbt on Airflow infrastructure
- Data Warehouse Architecture: Dimensional data modelling for big data infrastructures – Modern distributed data warehouse solutions (Databricks experience a plus)
- BI & Semantic Layer: Looker for semantic models and self-serve analytics
- Orchestration: Airflow for pipeline automation and scheduling