Data Engineer
Core
Design and maintain scalable, secure data pipelines to transform raw data into strategic insights for underwriting, risk management, fraud prevention, and customer experience.
Role type
Senior Data Engineer
Builds
Cloud-based data pipelines, data lakes, and warehouses for an insurance client
Domain
Insurance / Data Engineering
Required skills
Python, SQL, Apache Spark, dbt, Kafka, Airflow, Snowflake, BigQuery, Redshift, Azure Data Factory, Azure Synapse
Preferred skills
Streaming technologies, event-driven architectures, MLOps solutions, DataOps practices
Technologies
AWS, GCP, Azure, Apache Spark, dbt, Kafka, Airflow, Snowflake, BigQuery, Redshift, Great Expectations, Deequ, OpenMetadata, Power BI, Looker, Tableau
Responsibilities
Design, build, and maintain scalable and secure data pipelines in cloud environments; Integrate large volumes of structured and unstructured data from core insurance systems; Automate data ingestion, transformation, and quality processes; Build and maintain modern data lakes and warehouses; Implement data quality, lineage, and governance validations; Ensure compliance with data regulations and internal security policies; Design optimized datasets to enable machine learning models, predictive analytics, and dashboards; Collaborate with data scientists, architects, and business stakeholders to democratize access to trusted data; Document data architectures, pipelines, transformation standards, and lineage.
Seniority
Senior, hands-on IC