Who We Are

Building the AI-first frontier enterprise.

We are a integral 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.

📌 AI Native Data Engineer (Ciudad de México)
🏢 Palo It
📍 Ciudad de México