Full Time Data Engineer

The ALDI Nord group is one of the leading food retailers. For over 110 years, ALDI has stood for the creation of the discount principle. Your benefits

Modern Work Environment: Work on the ALDI Nord campus with an open-space concept, company cafeteria, café, parent-child office, and parking garage including electric charging stations Work-Life Balance: Flexible working hours and a hybrid working model with the possibility of partial remote work (up to 40%) as well as 30 vacation days (full-time) Mobility: Free electric charging at the ALDI Nord campus, coverage for the Deutschlandticket, or a travel allowance Onboarding & Training: Structured onboarding and a variety of opportunities for personal and professional development (e.g., ALDI Academy, eLearning, etc.) Impact & Team Power: High degree of creative freedom and unbeatable team power in a high-performance work environment Salary & Employee Discounts: Secure job with the pioneer of discounts offering an attractive salary and corporate benefits Design, develop, and operate reporting solutions for Procurement on our Data Lake - together with our team Take end-to-end responsibility for your reporting products: connecting data sources, developing and optimizing complex ETL pipelines, and modeling data according to a star schema Collaborate closely with BI Engineers through joint conceptualization and refinement of user stories to optimize and extend our data models. Ensure the continuous operation of our solutions by handling user tickets and supporting daily operational processes Perform adhoc analyses to support strategic decisionmaking Work with state-of-the-art tools and methodologies such as DataOps, DevOps, and Scrum - continuously expanding and sharing your knowledge with your colleagues At least 5years of professional experience in Data Engineering, Business Intelligence or Data Analytics - preferably in the retail industry Strong expertisein developing ETL pipelines, ideally with Python, SQL, or Spark. Experience with Big Data technologies, especially Databricks together with Microsoft Azure ecosystem (e.g. Azure Data Lake, Azure Data Factory, Azure DevOps), as well as SQL Server and Git; The ability to understand complex data structures, make robust architectural decisions, and ensure longtermstability of data products AZ900, Databricks Certified Data Engineer Associate Good English skills, both written and spoken