About the Role

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.

How to Apply

https://jobs.lever.co/m-kopa/537bee54-9474-4ce3-bbb4-e74da247d8f7?utm_source=MyJobMag