We are looking for you as a (Senior) Data Engineer – AI and Data Analysis Platform for our Berlin location as soon as possible.

• Technical guidance and mentoring from data engineers
• Development and participation in the technical-strategic development of the team as well as the products and projects
• Responsibility for the design and (further) development of complex, use case-specific data architectures and data models
• Design, development, testing, and monitoring of processes for extracting, transforming, and loading data from source systems into data warehouses, data lakes (ETL/ELT pipelines), and data lakehouses
• Design of automated quality processes to ensure software and data quality as well as data availability to comply with service level agreements
• Guidance and further development of technical skills and knowledge transfer within the data engineering team
• Collaboration and technical leadership in a cross-functional team within an agile project

• Successfully completed studies in (business) informatics, mathematics, statistics or a comparable course of study; alternatively, training in a corresponding IT field with relevant professional experience
• Professional experience in the conception and implementation of (agile) projects and products in the context of data engineering
• Comprehensive knowledge of Python and SQL development as well as software development standards, best practices, and testing (unit testing, test frameworks, mocking)
• Extensive expertise in data processes (e.g., ETL tools such as Apache Airflow, Argo Workflows, and dbt), data warehousing, and data modeling/architecture (3NF, Kimball, Inmon, Data Vault 2.0, Lambda/Kappa architectures), as well as data interfaces/APIs (including REST and MQTT)
• Experience in analytical databases, containerization, Kubernetes, Linux and Bash as well as in the implementation of data governance, especially in the areas of data security and data privacy
• Sound knowledge of setting up and optimising enterprise data warehouse/data lake structures as well as in the areas of big data (HDFS, S3, Spark), data streaming (Kafka, Apache Beam) and ELT
• Broad data engineering market and technology knowledge in the areas of tools (query engines), frameworks (e.g., Delta Lake, Kafka), and concepts (Lakehouse, Data Mesh)
• Fluent written and spoken German (C1) and good English skills for technical communication (B2)