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Follow →Trust In SODA is seeking an experienced Data Engineer to own and optimise a cloud-based data warehouse. The role focuses on building robust ETL pipelines using Azure services within a rapidly scaling InsureTech platform.
The ideal candidate will have solid Azure DWH experience, strong SQL and data modeling skills, and a track record in data engineering for finance/insurance spaces. Remote-first with competitive benefits.
Senior Data Engineer builds and maintains SQL and Azure-based ETL pipelines for an insurance company, collaborating with stakeholders to improve data-driven operations.
Build and optimize cloud data pipelines and databases using Azure SQL, Python, and Airflow to support HR analytics and reporting.
Designs and builds Azure Databricks Lakehouse data pipelines and ETL/ELT workflows using SQL Server, ensuring data quality and performance.
Build and optimize Azure-based ETL pipelines and SQL Server data warehouses using SSIS, Python, and partitioning techniques.
Designs and builds Azure Databricks-based data pipelines and Lakehouse architectures using Spark and Delta Lake, integrating with SQL Server for analytics and BI.
Build and maintain scalable ETL/ELT pipelines and data models on Azure for analytics and operations, collaborating with data scientists and business teams.