Data Engineer (Databricks)
Core
Build and maintain robust data pipelines to validate and transform policyholder data for actuarial modelling and assumption setting.
Role type
Data Engineer (Actuarial Data)
Builds
Data pipelines for actuarial valuation and reporting
Domain
Financial Services / Actuarial Science
Deliverable
production ML models | product features
Required skills
SQL, Data management and modelling, Data pipeline development, Data validation, Data governance
Preferred skills
Azure Databricks, Spark, Spark SQL, Python/PySpark
Responsibilities
Design scalable data pipelines for actuarial data, Implement data quality checks and controls, Collaborate with stakeholders to define data needs, Resolve data exceptions with suppliers and users, Monitor and optimize data performance, Contribute to data governance standards
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