Senior Analytics Engineer at M-Kopa Solar

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Senior Analytics Engineer

You’re excited about this opportunity because you will

  • Supporting the team by providing technical leadership on data modelling in dbt and Looker
  • Managing a specific domain teams (or a group of teams) analytics models
  • Demonstrating best practices and increase the highest use opportunities to improve data processes, whether at data load or with data model redesign
  • Working closely with our Product and Backend Engineers team to provide clean, timely, reliable datasets
  • You’ll enjoy low ego environment and cohesive team spirit
  • Taking ownership of your work, partnering with cross functional peers to ensure projects success
  • You are naturally data curious, excited by data stack architecture and motivated by having an impact on the business

We’re excited about you because you have experience with

  • Have strong experience working with relational data models
  • Have experience working with tools such as dbt, Looker, Airflow or similar
  • Are experienced working with modern data warehouses and querying on them
  • Have experience coding with Python and SQL
  • Comfortable with software best practices (version control/git, Agile, testing, automated release pipelines, CI/CD processes, logging, observability etc.)
  • Familiar with an event-based architecture
  • Current stack
  • dbt for Transformation
  • Looker for visualisation
  • Spark / Data Factory / Event Hub / Airflow for ingestion
  • Airflow / AKS for orchestration
  • Microsoft Azure as our base cloud provider
  • The stack is managed by the analytics platform team who you’ll work with.

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