Ryan Specialty
DataEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer at Ryan Specialty. Skills: Azure Databricks, PySpark, Spark SQL, Data pipelines. Implement scalable ETL pipeline. Transform raw data”
Industry & Context.
Troubleshoot failures
What They're Looking For.
Must Have
2+ years hands-on experience with Azure Databricks, Expertise in PySpark/Spark SQL, Knowledge of Unity Catalog, Knowledge of modern Azure Databricks features, Knowledge of data best practices, Knowledge of data concepts, Proficiency building end-to-end data pipelines, Delta Lake/Lakehouse architecture
Nice to Have
Experience supporting BI reporting layers, Power BI or similar, Insurance experience
What You'll Do.
Implement scalable ETL pipeline
Support reporting and analytics
Follow medallion architecture
Leverage email ingestion tool
Design validation rules
Monitor pipeline runs
Troubleshoot failures
Integrate with CI/CD flows
Produce technical documentation
Full Job Description
**Position Summary:** An experienced data engineer with strong Azure Databricks expertise is required for a 6 month contract to develop and deliver a scalable data pipeline that ingests files and transforms them into standardised, high-quality datasets for reporting. This is a hands-on delivery role focused on building a production-grade pipeline, suited to someone comfortable working independently, defining technical solutions, and rapidly delivering high-quality data engineering components. # **Location:** London - UK - Fenchurch **What will your job entail?** Key Responsibilities • Implement a scalable ETL pipeline in Azure Databricks, that transforms raw data into standardised schemas to support reporting and analytics, following a medallion architecture in line with internal design standards. • Leverage an existing email ingestion tool to extract multiple format source files from a shared mailbox. • Develop notebooks, jobs and pipelines in Databricks for ETL orchestration. • Design and implement robust validation rules, monitor pipeline runs and troubleshoot failures, with logging and notifications to support robust data processes. • Integrate with CI/CD flows across environments using Azure DevOps. • Produce clear technical documentation of the solution to ensure maintainability post-delivery. Experience • 2+ years hands-on experience with Azure Databricks, including data validation, transformation, and optimization. • Expertise in PySpark/Spark SQL. • Knowledge of Unity Catalog and modern Azure Databricks features, as well as data best practices and concepts. • Proficiency building end-to-end data pipelines with Delta Lake/Lakehouse architecture. • Experience implementing CI/CD pipelines (Azure DevOps preferred). • Experience supporting BI reporting layers (Power BI or similar) is nice to have. • Insurance experience is nice to have. **Disclaimer** Ryan Specialty is an Equal Opportunity Employer. We are committed to building and sustaining a diverse workforce
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