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Data Engineer

PALO IT · PALO IT Brazil

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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.
  • Upper-intermediate English level (B2 or higher) for global collaboration. Nice to Have
  • Knowledge of streaming technologies: Kafka, Pub/Sub, Kinesis.
  • 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). 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 .