Data Engineer - Snowflake

• Design, build, and maintain scalable data pipelines for ingesting, transforming, and modeling insurance data (claims, policies, premiums, customers, brokers, etc.).
• Develop and manage analytics-ready data models using dbt following best practices (testing, documentation, version control).
• Implement and orchestrate workflows using Dagster (or similar tools such as Airflow or Prefect).
• Build and optimize data warehouses and data marts in Snowflake.
• Ensure data quality, reliability, and governance through automated tests, monitoring, and documentation.
• 3-5 years of experience in data engineering, analytics engineering, or similar roles.
• Experience with BI and analytics tool Qlik.

", "key_skills_required": "

• Design, build, and maintain scalable data pipelines for ingesting, transforming, and modeling insurance data (claims, policies, premiums, customers, brokers, etc.).
• Develop and manage analytics-ready data models using dbt following best practices (testing, documentation, version control).
• Implement and orchestrate workflows using Dagster (or similar tools such as Airflow or Prefect).
• Build and optimize data warehouses and data marts in Snowflake.
• Ensure data quality, reliability, and governance through automated tests, monitoring, and documentation.

",

Beinex is looking for talented Snowflake Data Engineers to join our growing data team. You will work on building scalable data pipelines, developing analytics-ready data models, and delivering high-quality data solutions using Snowflake, dbt, Dagster, and Qlik.

If youre passionate about modern data engineering, cloud-based data platforms, and transforming complex data into actionable insights, especially within the insurance domain, wed love to hear from you. We are looking for proactive, hands-on professionals who take ownership and get things done.

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