Analytics Engineer building and evolving Data-Warehouse Platform with dbt and SQL for E-commerce. Collaborating with Data Engineers and Analysts to model data according to Data Vault 2.0.
Responsibilities
The focus of your role will be building and further developing our data warehouse platform with dbt and SQL for a modern data ecosystem.
You design models according to Data Vault 2.0 and develop standardized, scalable data models for analyses and reports.
In your work you apply software development principles such as versioning, testing, and CI/CD.
In collaboration with our data engineers and data analysts, you build a deep understanding of our e‑commerce data sources.
You train users on working with data models and reports and support the design of data marts and Power BI datasets.
Requirements
You have professional experience modeling data structures as a Data Analyst, Data Engineer, Data Scientist, or in a comparable role — ideally following Data Vault.
You are confident with SQL and have experience with dbt, BigQuery, and workflow management tools (e.g. Airflow).
You are passionate about data modeling and your strengths include quality awareness, precise work, and strong analytical thinking.
Your German language skills are at least B2 level and your English at least A2 level.
Experience with Azure SQL and Power BI is an advantage.
We would especially welcome prior experience with data structures and processes in e‑commerce.
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