Senior Analytics Engineer. Remote: UTC -1 : UTC+3.
M-KOPA (https://m-kopa.com/) serves over a million customers across multiple (African) geographies and is growing fast. From solar lights to phones we are powering progress through internet connected devices. The Analytic Engineering team’s mission is to upgrade the value our Data Science, BI and Business teams get from the data that we have. We're looking for a Senior Analytics Engineer to join the team (https://www.shortlist.net/jobs/4843) and:
- Increase the velocity of our transition to a modern data stack (dbt, Airflow, Python, Spark, Synapse, Kubernetes, Docker, + ?)
- Deploy new tools with effective default patterns implemented, so that other teams are empowered to work with that tool/process
- Abstract logic into libraries and patterns of work that enable teams to build value from our data independently and efficiently
- Demonstrate best practices across the data stack, and optimize the highest leverage opportunities to improve data processes, whether at data load, or with data model redesigns
- Build systems that enable us and other teams to deliver end to end value more easily
M-KOPA (https://m-kopa.com/) serves over a million customers across multiple (African) geographies and is growing fast. From solar lights to phones we are powering progress through internet connected devices. The Analytic Engineering team’s mission is to upgrade the value our Data Science, BI and Business teams get from the data that we have. We're looking for a Senior Analytics Engineer to join the team (https://www.shortlist.net/jobs/4843) and:
- Increase the velocity of our transition to a modern data stack (dbt, Airflow, Python, Spark, Synapse, Kubernetes, Docker, + ?)
- Deploy new tools with effective default patterns implemented, so that other teams are empowered to work with that tool/process
- Abstract logic into libraries and patterns of work that enable teams to build value from our data independently and efficiently
- Demonstrate best practices across the data stack, and optimize the highest leverage opportunities to improve data processes, whether at data load, or with data model redesigns
- Build systems that enable us and other teams to deliver end to end value more easily