ZCC is currently hiring a:

DATA ENGINEER SR / DATABRICKS

• Design and build scalable solutions to ingest, store and process very large amounts of data (structured, semi-structured and unstructured), including streaming and real time into the cloud-based Lakehouse.

• Build enterprise grade, highly reusable data assets for analytics consumption.

• Develop conceptual, logical, and physical data architecture blueprints and systems specifications to develop single source of truth for the enterprise.

• Partner with analytics experts, data scientists, and Business Unit analysts to build self-service experiences in our data democratization platform.

• Take ownership of operationalization of Agentic AI & ML Models while designing solutions to optimize data pipelines, model deployment, and model monitoring

Technical skills:

• Experience with Azure or AWS Cloud

• Experience in building enterprise grade Data & AI solutions

• Experience with various Microsoft Azure services (including Fabric, Databricks, Data factory, Cosmos DB, Document Intelligence, Cognitive Services, AI Foundry,



Power Platform, Co-pilot studio, Azure ML, Power Automate, Power BI etc.).

• Experience with vector stores like Elastic, Pinecone, Mongo Atlas, or Redis

• Experience with cloud data warehouse solutions like Snowflake, Fabric, or Redshift

• Exposure to ML frameworks including TensorFlow, PyTorch, Scikit-Learn

• Exposure to deployments for LLMs including end to end unstructured data pipeline build, design of vector stores, embeddings, and prompt engineering.

We offer:

Attractive compensation scheme.

Food vouchers

Restaurant vouchers

Benefits above the law.

Life insurance

Major medical expenses insurance

At Zurich we are an equal opportunity employer. We attract and retain the best qualified individuals available, without regard to race/ethnicity, religion, gender, sexual orientation, age, or disability.

Who we are

Looking for a challenging and inspiring work environment where yo

📌 Data Engineer (México)
🏢 Zurich Insurance Group
📍 México