Data Engineer developing and implementing data models and ETL/ELT processes. Working with cutting-edge technologies in a hybrid environment for innovative digital transformation.
Responsibilities
Identification and analysis of business/customer requirements
Design and implementation of data models, data flows, and ETL/ELT processes (SSIS packages, Oracle packages)
Use of state-of-the-art technologies, including cloud contexts such as Azure, MS SQL Server (SSIS, SSRS, SSAS, MDS), Oracle, Snowflake, Airflow, Databricks, and other components
Creation of reports (SSRS, Power BI) and cubes (SSAS)
Continuous optimization and harmonization of data flows and architecture
Establishment and expansion of data quality processes
Requirements
Several years of experience in Data Engineering, Big Data, and Business Intelligence
Deep expertise in data integration and data warehouse design/architecture
Strong knowledge of SQL, SQL procedures, and implementation of ETL/ELT processes
Experience with cloud and big data architectures
University degree or completed vocational training in IT with relevant professional experience
Willingness to travel within the DACH region (Germany, Austria, Switzerland)
Very good communication skills in German (at least C1) and English
Benefits
Attractive, performance-based compensation
A family-friendly company with flexible working arrangements: remote, on client site, or in the office
Excellent working atmosphere with flat hierarchies and short decision-making paths
Individual development and training opportunities — our employees’ expertise drives us forward
Exciting projects in an innovative and international environment using the latest technologies
Teamwork is important to us
Life is more than work; therefore we offer 30 days of vacation
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