Analytics Engineer M/F/D

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Requirements:

• You have at least 1 significant experience in Analytics Engineering with dbt
• SQL & data modelling in DBT has no more secrets for you
• Experience with Airflow (with a good knowledge of Python) is a plus
• You know how to deal with technical and non-technical stakeholders to collect needs, challenge them and make clear and informed decisions on the data model
• You carry a clear technical vision on how to structure data management practices
• You have excellent communication skills, both written and spoken
• You have a result-driven and impact-oriented mindset

Responsibilities:

• Build data models: collect needs for data transformations, define unique sources of truth for our metrics and dimensions, implement data models in dbt, make sure we make the most of dbt’s features, in particular through constant watch
• Govern our data model: keep overall consistency of our data model, define policies and standards for data management, ensure quality and reliability of our data model, ensure the documentation of our data model
• Provide support & train the main users of your models: deliver the necessary training to make sure People use your models, iterate on models to make sure they better tackle their needs.
• Contribute to maintaining the data pipeline: contribute to maintain the Python code base for Airflow, launch relevant incident process to fix the refresh with developers, keep an eye on potential evolution to suggest evolutions to the pipeline.