Data Engineer, Babbel

• Expertise in Python for building robust, maintainable data solutions
• Hands-on experience working with Data Lake and Lakehouse platform (preferably Databricks), including processing frameworks like Apache Spark and open table formats such as Delta Lake (or Iceberg)
• Strong proficiency with Airflow for orchestrating complex data workflows
• Experience in deploying and operationalizing AI/ML models in production, ideally including hands-on work with OpenAI APIs or similar large language models (LLMs)
• Solid understanding of cloud data architectures, especially on AWS
• Commitment to high standards in code, data quality, and engineering practices
• Excellent communication skills in English, both written and spoken

Desirable

• As a Data Engineer in our Dynamic Content Team, you’ll play a key role in enhancing how learners interact with the Babbel Learning Experience
• You’ll architect, build, and optimize smart products that power an experience that adapts to the individual needs of our learners
• You’ll collaborate with product managers, data scientists, and engineers to deliver robust, scalable, and innovative solutions
• Engineer robust data pipelines using Python, Databricks, and Airflow to support dynamic content delivery and personalization at scale
• Integrate and operationalize AI capabilities (with OpenAI and other LLMs), enabling smarter content recommendations and automation
• Design and optimize data models for content management, learner analytics, and AI experimentation
• Ensure data quality, reliability, and security across all stages of the data lifecycle
• Automate platform operations and deployment workflows to drive efficiency and repeatability
• Collaborate cross-functionally with content creators, product managers, and data scientists to deliver impactful learner experiences
• Champion best practices in data engineering, code quality, and documentation
• Participate in knowledge sharing, learning sessions, and team rituals, helping us all grow togethe