Senior Data Engineer

• Strong understanding of data engineering concepts including data pipelines, data marts, ETL/ELT processes, and data warehousing.
• Experience with SQL and Python for data ingestion, transformation, and validation.
• Excellent communication skills.
• Strong analytical and problem-solving skills.
• Ability to manage competing priorities effectively.
• Experience with cloud-based data services and platforms.

Nice to have:

• Experience in the insurance or health insurance sector.
• Experience in Pricing and Underwriting departments.
• Familiarity with modern data platforms such as Databricks, Snowflake, AWS, and Azure.
• Experience with project management methodologies (Agile, Waterfall, or hybrid).
• Knowledge of data governance frameworks and data quality management.
• Experience with application migration or platform consolidation programmes.

• Define and document requirements for the current pricing data mart as part of the application transformation.
• Ensure data is fed back into the pricing data marts during and after migration.
• Ingest data files into the Pricing Datamart.
• Validate incoming data for completeness, accuracy, and conformance.
• Identify, investigate, and resolve data quality issues.
• Clean and transform raw source data to meet Pricing Datamart standards.
• Write, maintain, and optimize SQL and Python scripts to support workflows.
• Support design and implementation of data pipelines and integrations.
• Contribute to the strategy for migrating the Pricing team to a new target data platform.
• Work with technical teams on data architecture decisions.

This role is aimed at professionals with significant expertise in data engineering, particularly in insurance-related environments, focusing more on technical data skills than project management capabilities.