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.
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.
