Data Engineer

The Data Engineer is responsible for designing, building, and operating high-quality, scalable, and reusable data services that support analytics, AI, and GenAI use cases across business domains. In this role, you will design and work hands-on with data pipelines, data models, orchestration frameworks, storage layers, and observability tooling. You will collaborate closely with AI Engineers, Data Scientists, Product Owners, and Platform teams to deliver reliable, well-governed, and self-service data products. Key Responsibilities Data Platform & Services Engineering • Build and maintain scalable data pipelines and ingestion frameworks for batch, streaming, and event-driven data. • Develop and maintain modular data models and semantic layers optimized for analytics, BI self-service and AI use cases. • Implement and operate orchestration workflows (e.g., Databricks Workflows) and compute engines (Spark, SQL, Python). • Work with storage technologies such as Delta Lake, ADLS, feature and ...