Building and optimizing data models and pipelines to support business initiatives.
Ensuring data quality, performance, and reliability across systems.
Collaborating with cross-functional teams to deliver impactful data solutions.
Addressing performance bottlenecks and resolving data-related issues. Key Requirements
4+ years of experience in Data Engineering or a similar role.
Proficiency in Microsoft SQL Server and SQL.
Hands-on experience with ETL/ELT pipeline development.
Knowledge of data warehousing and data modelling concepts.
Familiarity with data security and compliance standards (e.g., GDPR).
Experience with Snowflake Data Cloud and tools like FiveTran, DBT, Dataiku, and Collibra (preferred).Expertise in Microsoft Azure (e.g., Synapse, Azure DevOps).
Programming skills in Python and C#
Proficiency in Power BI and Microsoft Office 365.
A background in the insurance domain is essential.
