Data Engineer (Ciudad de México - Toreo, MX)

Zurich Insurance
Mexico
Workplace: OnsiteFull timeFunction: Software EngineeringSkills: []

Build scalable lakehouse solutions that ingest, store, and process large volumes of structured and unstructured data, including streaming and real-time processing. Create reusable enterprise data assets and define conceptual, logical, and physical data architecture for a single source of truth. Partner with analytics, data science, and business unit teams to deliver self-service experiences. Operationalize agentic AI/ML models by optimizing data pipelines, model deployment, and monitoring.

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FursaFursa
Zurich Insurance
Zurich Insurance
1 month ago

Data Engineer (Ciudad de México - Toreo, MX)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 20 hours agoStatus: Live

Job Summary

Build scalable lakehouse solutions that ingest, store, and process large volumes of structured and unstructured data, including streaming and real-time processing. Create reusable enterprise data assets and define conceptual, logical, and physical data architecture for a single source of truth. Partner with analytics, data science, and business unit teams to deliver self-service experiences. Operationalize agentic AI/ML models by optimizing data pipelines, model deployment, and monitoring.
Location: Mexico
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Design and build scalable solutions for ingesting, storing, and processing large data volumes, including streaming and real-time into a cloud lakehouse.
  • •Build enterprise-grade, reusable data assets for analytics consumption.
  • •Develop data architecture blueprints and system specifications to establish a single source of truth for the enterprise.
  • •Collaborate with analytics experts, data scientists, and business unit analysts to deliver data democratization and self-service experiences.
  • •Own the operationalization of agentic AI/ML models, optimizing data pipelines, model deployment, and monitoring.

Pay and Benefits

Perks:Meal AllowanceRestaurant VouchersLife InsuranceHealth Insurance

Key Requirements

  • •Design and build scalable solutions to ingest, store, and process large volumes of structured and unstructured data, including streaming and real-time into a cloud lakehouse.
  • •Develop enterprise-grade, reusable data assets to support analytics consumption.
  • •Create conceptual, logical, and physical data architecture blueprints and system specifications for a single source of truth.
  • •Operationalize agentic AI and ML models by optimizing data pipelines, model deployment, and model monitoring.
  • •Hands-on experience with Azure or AWS cloud and Databricks-related services (e.g., Fabric, Data Factory, Cosmos DB, Azure ML).
Experience:Data engineeringCloud data platformsLakehouseAI/MLAgentic AILLM deployments
Tech Stack:AzureAWSMicrosoft AzureFabricDatabricksData factoryCosmos DBDocument IntelligenceCognitive ServicesAI FoundryPower PlatformCo-pilot studioAzure MLPower AutomatePower BIElasticPineconeMongo AtlasRedisSnowflake

Company Brief

Zurich Insurance
Zurich Insurance Group is a global insurance company offering a wide range of general insurance and life insurance products and services to individuals, small businesses and large corporations across multiple markets worldwide.
Industry: Insurance
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Zurich, Switzerland
Founded: 1872
Glassdoor
Glassdoor: 3.7
WebsiteLinkedIn