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.
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We are small enough to care locally, big enough to deliver globally (10 countries, 450+ experts from 50+ nationalities)
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We are becoming an agentic organization, adopting the AI-native operating model we bring to our clients.
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We are robust and resilient (100% independent, 0 debt, founded 2009)
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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.
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Design, build, and maintain scalable and secure data pipelines in cloud environments (AWS, GCP, or Azure).
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Integrate large volumes of structured and unstructured data from core insurance systems (such as policies, claims, CRM, ERP).
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Automate data ingestion, transformation, and quality processes using tools such as Apache Spark, dbt, Kafka, and Airflow.
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Build and maintain modern data lakes and warehouses (Snowflake, BigQuery, Redshift).
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Implement data quality, lineage, and governance validations (Great Expectations, Deequ, OpenMetadata).
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Ensure compliance with data regulations (GDPR, SOC2, etc.) and internal security policies.
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Design optimized datasets to enable machine learning models, predictive analytics, and dashboards (Power BI, Looker, Tableau).
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Collaborate with data scientists, architects, and business stakeholders to democratize access to trusted data.
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Document data architectures, pipelines, transformation standards, and lineage.
Who You Are.
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Experience with modern data processing frameworks: Spark, databricks, dbt, Kafka, Apache Beam.
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Strong command of Python and advanced SQL.
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Hands-on experience with Azure cloud platforms (Data Factory, Synapse).
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Knowledge of modern Data Lake / Data Warehouse design (Snowflake, Redshift, BigQuery).
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Familiarity with DataOps, testing, and CI/CD practices in data pipelines.
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Experience with workflow orchestration systems such as Airflow or Dagster.
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Understanding of data quality and governance frameworks: Great Expectations, Deequ, DataHub, OpenLineage.
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Upper-intermediate English level (B2 or higher) for global collaboration.
Nice to Have
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Knowledge of streaming technologies: Kafka, Pub/Sub, Kinesis.
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Familiarity with event-driven architectures and microservices.
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Previous experience in the financial or insurance sector.
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Certifications such as Azure Data Engineer or Fabric Data Engineer.
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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
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Stimulating working environments
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Unique career path
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International mobility
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Internal R&D projects (including Gen-e2)
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Knowledge sharing
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Personalized training via PALO IT Academy
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Entrepreneurship & intrapreneurship
For more on our team culture and benefits, check out our careers page.