Your mission
We are looking for a Cloud Data & AI Engineer with a focus on Databricks to design, implement, and evolve modern Data & AI platforms on Azure or AWS. Working alongside our team and our clients, you will mergedata engineering, cloud technologies, and AI-driven topics into solutions that are both functionally impactful and technically robust.
Your Impact:
Architecting Solutions: You develop modern Data & AI solutions powered by Databricks.
Pipeline Engineering: You build robust batch and streaming pipelines using Python, SQL, Spark, and PySpark.
Lakehouse Evolution: You contribute to the design and implementation of Lakehouse architectures for Analytics, Machine Learning, and Generative AI (GenAI) use cases.
Mastering the Stack: You leverage core Databricks components, including Delta Lake, Unity Catalog, Workflows, MLflow, Model Serving, and Vector Search.
Advancing AI: You support the implementation and further development of ML, LLM, and GenAI use cases.
AI Operations: You work on critical areas such as Serving, Retrieval (RAG), Evaluation, Monitoring, and Governance for AI applications.
Data Integration: You connect diverse source systems, including APIs, databases, ERP, and CRM systems.
Quality & Standards: You assist in implementing requirements for Data Quality, Security, Governance, and Observability.
Your profile
Must-haves:
Initial to several years of hands-on experience in Data Engineering, Machine Learning Engineering, AI Engineering, or a comparable role.
Strong proficiency in working with the Databricks platform.
Solid knowledge of Python, SQL, Spark, and PySpark.
Practical experience with at least one major cloud platform, ideally Azure or AWS.
Experience in building or evolving modern cloud-based data platforms.
Experience with MLflow, Model Serving, and Vector Search, preferably within the Databricks ecosystem.
A fundamental to strong understanding of modern AI/LLM concepts, such as RAG, retrieval, evaluation, serving, and production-grade GenAI applications.
Deep understanding of Lakehouse architectures, data modeling, and production data processes.
Initial experience in the areas of Data Governance, Data Quality, Security, and Monitoring.
Confident use of Git and ideally initial experience with CI/CD and Infrastructure as Code.
A degree in Business Informatics, Computer Science, Data Science, or a related field of study.
A structured, independent, and solution-oriented way of working.
Fluency in German and good proficiency in English.
Nice-to-Haves:
Experience with Terraform or OpenTofu.
Experience with Kafka, CDC, or event-driven architectures.
Familiarity with Airflow, dbt, or similar tools.
Experience in integrating diverse source systems.
A passion for collaborating with clients and interdisciplinary teams.
Relevant certifications for Databricks, Azure, or AWS.
Why us?
Do you want to develop modern data and AI platforms in the cloud and take on responsibility in real-world projects? Do you enjoy working hands-on, thinking structurally, and building solutions that are scalable, maintainable, and production-ready?
Then this could be the perfect fit:
We are looking for a Cloud Data & AI Engineer with a focus on Databricks to design, implement, and evolve modern Data & AI platforms on Azure or AWS. Working alongside our team and our clients, you will merge data engineering, cloud technologies, and AI-driven topics into solutions that are both functionally impactful and technically robust.
What awaits you: High-end tech & genuine appreciation
Engineering Excellence: You build modern Cloud Data & AI platforms. We value clean engineering, quality, and pragmatism - no quick-and-dirty hacks.
Steep Learning Curve toward Core Expertise: We support your growth from specialist to Trusted Advisor. Certifications (Databricks, Azure, AWS) are fully covered by us!
Your Playing Field: From agile startups to DAX corporations. You consult as a peer and turn innovative concepts into reality.
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 area. We celebrate successes together - whether after work or at our team events.
Work-Life Balance: Flexibility is a standard for us, not just a benefit. Home office and individual models ensure that your job fits your life.

