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Senior Analytics Engineer

Closing: May 28, 2024

This position has expired

Published: May 13, 2024 (18 days ago)

Job Requirements

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Job Summary

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Requirements
  • Strong experience with Python or other language, and SQL
  • Dimensional data modelling for analytics / data warehouses / big data infrastructures
  • Experience working with data warehouses technologies, and with BI tools such as Looker or Tableau
  • Experience working with orchestration systems such as airflow
  • Experience working with dbt will be highly beneficial

Work - Life Balance:

  • This is a remote role in a team that spans from the UK, through Europe to Africa. Work in a similar distributed environment would be ideal.
Responsibilities
Requirements
  • Strong experience with Python or other language, and SQL
  • Dimensional data modelling for analytics / data warehouses / big data infrastructures
  • Experience working with data warehouses technologies, and with BI tools such as Looker or Tableau
  • Experience working with orchestration systems such as airflow
  • Experience working with dbt will be highly beneficial

Work - Life Balance:

  • This is a remote role in a team that spans from the UK, through Europe to Africa. Work in a similar distributed environment would be ideal.
  • Are you looking for an opportunity to work in a company where progress and humility are valued as highly as technical excellence? At M-KOPA we use the latest technologies and architectures to build fantastic customer experiences with a socially and environmentally conscious mission that echoes throughout the organization.
  • We are looking for a Senior Analytics Engineer to join our Analytics department.

Team Focused

  • You will be working in a small 3 or 4 person team role focused on Dimensional Data modelling, Data Engineering, Business and Product Optimization, Cloud Platform Utilization and Data Management.
  • You will collaborate primarily with cross-functional product teams with some additional internal business units to gather requirements, understand business needs, and deliver data-driven recommendations.
  • This is a low ego creative environment where careers can thrive.

More About the Role

  • 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.
  • We also develop semantic models in Looker, build dashboards and coach users on how to use self-serve capabilities of our platform.
  • You will be working together with software engineers to ensure that the data necessary for analysis is captured well in our systems.
  • For us applying best practices is important in order to build reliable, well tested, efficient, documented data assets.

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