10 hours ago

Data Engineer (Ciudad de México - Toreo, MX)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 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: 3.7

Website LinkedIn

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Zurich Insurance

10 hours ago

Data Engineer (Ciudad de México - Toreo, MX)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

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

Company Brief

Zurich Insurance

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: 3.7

Website LinkedIn