# AI Native Data Engineer - Company: [Palo It]() - Location: PALO IT Mexico - Remote: Yes - Team: Mexico City Technology - Employment type: Full Time - Posted: September 8, 2026 ## Job description **Who We Are** **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, and Airflow. * Build and maintain modern data lakes and warehouses (Snowflake, BigQuery, Redshift). * Implement data quality, lineage, and governance validations (Great Expectations, Deequ, OpenMetadata). * Ensure compliance with data regulations (GDPR, SOC2, etc.) and internal security policies. * Design optimized datasets to enable machine learning models, predictive analytics, and dashboards (Power BI, Looker, Tableau). * Collaborate with data scientists, architects, and business stakeholders to democratize access to trusted data. * Document data architectures, pipelines, transformation standards, and lineage. **Who You Are**. * Experience with modern data processing frameworks: Spark, databricks, dbt, Kafka, Apache Beam. * 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. * Experience with workflow orchestration systems such as Airflow or Dagster. * 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. * Experience with MLOps solutions (Vertex AI, SageMaker, MLFlow). **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 * Apply **prompt engineering best practices** for reliable, repeatable engineering outcomes. * Validate **GenAI output**(determinism checks, guardrails, fallback logic). ### **More About PALO IT** Our clients include some of the world’s most successful companies. We collaborate with leading enterprises, next-generation businesses and frontier partners, shaping what comes next, helping them scale AI and solve complex business and technology challenges. **What We Offer** * 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). ## Apply [Apply on Palo It]() Canonical job page: