Analytics Engineer focused on building and developing the Data-Warehouse platform for an e-commerce company. Utilizing dbt and SQL to create scalable data models for analysis and reporting.
Responsibilities
Build and further develop the data warehouse platform using dbt and SQL
Model according to Data Vault 2.0 and develop standardized, scalable data models for analyses and reports
Apply software development principles such as versioning, testing, and CI/CD
Collaborate with data engineers and data analysts to develop a deep understanding of e-commerce data sources
Train users on working with data models and reports
Support the design of data marts and Power BI datasets
Requirements
You have professional experience as a Data Analyst, Data Engineer, Data Scientist, or in a similar role, including modeling data structures—ideally with Data Vault
You are proficient in 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, attention to detail, and strong analytical skills
German skills: minimum B2; English skills: minimum A2
Experience with Azure SQL and Power BI is a plus
Prior experience with e-commerce data structures and processes is especially welcome
Benefits
Financial support for childcare (KITA)
Subsidies for the Deutschland-Ticket (public transport pass), company pension plan, and sports program
Subsidized meal options and bike leasing
Online academy and personalized training opportunities
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