M-KOPA is a fast-growing FinTech company offering millions of underbanked customers across Africa access to life-enhancing products and services. From our roots as the pioneer in pay-as-you-go PayGo solar energy for off-grid homes, we have grown into one of the most advanced connected asset financing platforms in the world, empowering a broad range of customers to achieve progress in their lives.
About the job
We are looking for a Senior Analytics Engineer to join our Analytics Department; as we scale up and drive digital and financial inclusion across our markets.
As a Senior Analytics Engineer, your day-to-day work will include building easy to understand and consistently modelled datasets to serve metrics, dashboards and exploratory analysis; including building data transformation pipelines, primarily by using SQL and Python in dbt, and Airflow infrastructure.
You will collaborate primarily with cross-functional product and engineering teams with some additional internal business units to gather requirements, understand business needs, and deliver data-driven recommendations.
For us applying best practices is important in order to build reliable, well tested, efficient, documented data assets.
This is a fully remote role, you would be working within the following time zone (UTC -1 / UTC+3) with a diverse group of other employees working remotely from locations such as UK, Europe and Africa. You will be reporting to the Analytics Engineering Team Lead.
Expertise
Our expectation is that you have extensive experience with Python, Java and proficiency in SQL. Additionally, working with data warehouse technologies, and with BI tools such as Looker or Tableau and dimensional data modelling for analytics / big data infrastructures would make you an ideal candidate for the role.
Experience working with orchestration systems such as airflow working with dbt will equally be essential for this role.