AI Native Data Engineer

🗓️ Posted 2026-09-08 PALO IT Mexico Fulltime Hybrid ICT

Company shared salary

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Market rate

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Based on similar roles (title + domain + location).

About the Company

Building the AI-first frontier enterprise. We are a global technology consultancy with a trademarked, AI-first approach-Gen-e2 . It redefines how enterprises build digital products and transform their organizations with AI. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company. - We are small enough to care locally, big enough to deliver globally (10 countries, 450+ experts from 50+ nationalities) - We are becoming an agentic organization, adopting the AI-native operating model we bring to our clients. - We are robust and resilient (100% independent, 0 debt, founded 2009) - We are AI-native professionals who invest in what we believe and work as a collective intelligence - We are positive, courageous and deliver at the leading edge. YOUR ROLE As a Data Engineer for a leading insurance company, you will play a key role in building a data-driven decision-making culture. You will design resilient and secure solutions that transform raw data into strategic insights for underwriting, risk management, fraud prevention, and customer experience. - Design, build, and maintain scalable and secure data pipelines in cloud environments (AWS, GCP, or Azure). - Integrate large volumes of structured and unstructured data from core insurance systems (such as policies, claims, CRM, ERP). - Automate data ingestion, transformation, and quality processes using tools such as Apache Spark, dbt, Kafka,

Requirements

  • Strong command of Python and advanced SQL.
  • Hands-on experience with Azure cloud platforms (Data Factory, Synapse).
  • Knowledge of modern Data Lake / Data Warehouse design (Snowflake, Redshift, BigQuery).
  • Familiarity with DataOps, testing, and CI/CD practices in data pipelines.
  • Understanding of data quality and governance frameworks: Great Expectations, Deequ, DataHub, OpenLineage.
  • Knowledge of streaming technologies: Kafka, Pub/Sub, Kinesis.
  • Upper-intermediate English level (B2 or higher) for global collaboration.
  • Nice to Have
  • Familiarity with event-driven architectures and microservices.
  • Previous experience in the financial or insurance sector.
  • Certifications such as Azure Data Engineer or Fabric Data Engineer.
  • AI-Native Engineering (Core Expectation)
  • Use Generative AI coding tools (e.g., GitHub Copilot, Cursor) as a first-class engineering assistant for:
  • Code scaffolding and refactoring
  • Code generation and optimisation
  • Test-cases and documentation generation
  • Build applications through AI-driven development practices, including:
  • AI-assisted debugging and troubleshooting
  • Intelligent code completion and pattern recognition
  • Automated documentation generation

Benefits

  • Stimulating working environments
  • Unique career path
  • International mobility
  • Internal R&D projects (including Gen-e2 )
  • Knowledge sharing
  • Personalized training via PALO IT Academy
  • Entrepreneurship & intrapreneurship
  • For more on our team culture and benefits, check out our careers page https://www.palo-it.com/en/career.