Data Engineer

KiK is building up its Data Science area and actively shaping the company's data-driven development. Together with the specialist departments, the team develops solutions that improve processes along the entire value chain, from ordering goods to selling them in the stores. Machine learning models and software products are supported from the first idea to productive use, in close cooperation with IT. You can contribute your own ideas and help shape the build-up of the area.

• You develop, operate and optimize reliable data pipelines and ETL/ELT processes.
• You build data models in Databricks and develop them further for different analysis and use cases.
• You integrate different data sources and prepare the data in a structured way for further use.
• Through automated checks and monitoring you ensure data quality, stable processing, performance and scalability.
• For analytics, data science and AI applications you provide a reliable data foundation, from the first prototype to productive use.
• Together with data scientists, data analysts and the specialist departments you translate business requirements into suitable data structures and technical solutions.
• You support the automated deployment of data pipelines and ensure traceable documentation and maintainable code.
• You bring your experience and ideas into our existing Data Hub team and share your knowledge with your colleagues.

• You bring practical experience in data engineering as well as very good SQL and Python skills.
• You have already gained first knowledge or practical experience with Databricks.
• You have solid knowledge of data pipelines, ETL/ELT processes and data modeling.
• You have experience integrating different data sources and ensuring data quality.
• You are familiar with version control, for example Git, and with testing data pipelines.
• Ideally you have knowledge of Spark/PySpark, Microsoft Azure and automated deployment of software and data pipelines (CI/CD).
• Your hands-on mentality, personal responsibility and enjoyment of working in an interdisciplinary team set you apart.