Data Engineer - AI/ML (f/m/d)

Awin is part of the Axel Springer group, operating in a global environment with a focus on data-driven decision making and AI/ML projects. The company emphasizes diversity and inclusion and supports flexible and remote working arrangements.

• Bachelor’s degree or higher in Data Science, Data Engineering, or related field with focus on mathematics, statistics, or data engineering
• 2+ years experience as data engineer on AI/ML projects using Python
• Strong experience with Databricks (Jobs, Asset Bundles, Delta Lake, MLflow) and Azure data engineering tools (Azure Data Factory, Azure Data Lake Storage)
• Solid understanding of Scrum practices and Agile mindset
• Advanced proficiency in Python and key data/ML libraries (NumPy, PySpark, Scikit-learn, TensorFlow/PyTorch)
• Working knowledge of generative AI models (e.g., ChatGPT, Claude), Databricks GenAI tooling, and vector databases
• Expertise in designing end-to-end ETL solutions using Databricks
• Strong knowledge of cloud platforms (Azure and AWS) and relevant services
• Hands-on experience with big data technologies including Databricks and Spark
• Very strong analytical skills, communication, project and process management competencies
• Ability to work independently, take autonomous decisions, and contribute proactively to engineering standards

• Write clean, elegant, and maintainable code following Data engineering and AI/ML best practices
• Understand business objectives and develop models to achieve them, including creating and monitoring relevant metrics
• Find new ways to solve complex business problems with self-improving automated predictive models
• Evaluate existing models and recommend improvements for better results and performance efficiency
• Develop best practices for building and orchestrating predictive models
• Be responsible for quality, accuracy, and interpretation of result sets