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AI Native Data Engineer
ICT
Company shared salary
NA
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Based on similar roles (title + domain + location).
About the Company
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,
Requirements
- ● 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.
- ● 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.
- ● 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
Benefits
- ● 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.
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