onsite
Senior Cloud Data & AI Engineer - ruhrdot GmbH
AI Engineer
Lead the design and implementation of scalable data and AI platforms on Databricks, driving robust cloud architectures, production-grade pipelines, and end‑to‑end ML workflows.
About the role
Key Responsibilities
- Architect and build end‑to‑end data pipelines and AI workflows on Databricks, ensuring scalability, reliability, and performance.
- Collaborate with cross‑functional teams to translate business requirements into production‑ready data solutions.
- Implement best practices for data governance, security, and compliance across cloud environments.
- Mentor junior engineers, fostering a culture of clean code, automated testing, and continuous delivery.
- Stay current with emerging cloud, data, and AI technologies, evaluating their applicability to the platform.
Requirements
- 5+ years of experience in data engineering and AI/ML engineering, with a strong focus on cloud platforms.
- Deep expertise in Databricks, Apache Spark, and Python for data processing and model development.
- Proven track record of designing and deploying production‑grade data pipelines and ML models.
- Solid understanding of cloud architecture (AWS, Azure, or GCP) and related services.
- Excellent communication skills and a collaborative mindset.
Skills
databricksmachine learningpythonapache spark