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Cloud Data & AI Engineer – Databricks
ruhr.agency (ruhrdot GmbH)Cloud Data & AI Engineer focusing on modern Data-&-AI platforms using Databricks. Collaborating on solutions involving Data Engineering, Cloud technologies, and AI.
Tech Stack
Tools & technologiesAWSAzureCloudERPPySparkPythonSparkSQLUnity
About the role
Key responsibilities & impact- You develop modern data and AI solutions based on Databricks.
- You build robust batch and streaming pipelines using Python, SQL, Spark and PySpark.
- You contribute to lakehouse architectures for analytics, ML and GenAI use cases.
- You work with core Databricks components such as Delta Lake, Unity Catalog, Workflows, MLflow, Model Serving and Vector Search.
- You support the implementation and further development of ML, LLM and GenAI use cases.
- You work on topics such as serving, retrieval, evaluation, monitoring and governance for AI applications.
- You integrate various source systems such as APIs, databases, ERP or CRM systems.
- You support requirements related to data quality, security, governance and observability.
- You work with Git, CI/CD and Infrastructure as Code on production deployments.
Requirements
What you’ll need- Practical experience (from initial to several years) in Data Engineering, Machine Learning Engineering, AI Engineering or a comparable role.
- Good knowledge of Databricks.
- Strong skills in Python, SQL, Spark and PySpark.
- Practical experience with at least one cloud platform, ideally Azure or AWS.
- Experience in building or advancing modern cloud data platforms.
- Experience with MLflow, model serving and vector search, ideally in a Databricks environment.
- Basic to solid understanding of modern AI/LLM concepts, e.g., RAG, retrieval, evaluation, serving and production-ready GenAI applications.
- Good understanding of lakehouse architectures, data modeling and production data processes.
- Initial experience in data governance, data quality, security and monitoring.
- Confident in using Git and ideally initial experience with CI/CD and Infrastructure as Code.
- University degree in Business Informatics, Computer Science, Data Science or a related field.
- Structured, independent and solution-oriented working style.
- Very good German and good English language skills.
Benefits
Comp & perks- Work–life balance: flexibility is standard with us, not just a perk.
- Home office and flexible arrangements to ensure your job fits your life.
- Best-in-class setup: work with state-of-the-art cloud technologies and premium equipment.
- Genuine team culture: international exchange and flat hierarchies in the heart of the Ruhr region.
- We celebrate successes together — sometimes after work or at team events.
- We cover certification costs (Databricks, Azure, AWS)!
ATS Keywords
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Hard Skills & Tools
PythonSQLSparkPySparkData EngineeringMachine Learning EngineeringAI EngineeringData GovernanceData QualityData Modeling
Soft Skills
structured working styleindependent working stylesolution-oriented working stylecommunication skills
Certifications
University degree in Business InformaticsUniversity degree in Computer ScienceUniversity degree in Data Science