Introduction Sentence

Your Mission

• Your focus is on modelling data, implementing ELT/ETL pipelines and on developing concepts of data warehouse solutions
• You integrate a variety of data sources like Salesforce, Google Big Query, (rest) APIs
• You mainly work with state-of-the-art technologies and concepts (e.g. AWS, Snowflake, message queues) and evaluate new technologies with regard to their appropriate use
• You provide the complete data flow from the source to reporting for the end user
• You design and ensure a uniform data model with its data structures, central lookup tables, central fact tables and important dimensions
• You ensure data consistency and quality

Your essential experience and education

• Extensive professional experience in data engineering
• Affinity for the Internet and a keen interest in e-commerce
• Practice know-how in relational and multidimensional data modeling
• Practice know-how in data warehouse solutions
• Technologies: SQL, Python, Rest, JSON, ETL-tools (Airflow), Amazon AWS, Google Cloud Big Query, DBT
• Fluent in spoken and written English, knowledge of the German Language is a plus

What's in it for you?

• Around 500 employees from over 35 nations as a collegial community
• Open and diverse corporate culture with flat hierarchies, as well as a modern and appreciative working environment
• Generous Mobile office regulations enabling flexible work from home and within the EU
• Individual area of responsibility with space for the development of one's own ideas and concepts
• Uncomplicated cooperation: we are on first-name terms & don't insist on dress codes
• Exclusive employee benefits such as a job ticket, job bike, lunch subsidies via Sodexo, and employee discounts
• Company health management, including company pension schemes, Urban Sports Club, Crossfit, and Mental Health Days
• Centrally located offices in Heidelberg, Berlin, Munich, and Leipzig with optimal transportation connections

Closure

Company Text