Data Engineer

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.