DevOps Specialist / Data Engineer (all genders) - Data & Analytics
Core
Design, build, and operate production-grade data, ML, GenAI, and BI solutions using Databricks and Azure services.
Role type
DevOps Specialist / Data Engineer
Builds
Group-wide data, ML, GenAI, and BI solutions
Domain
Insurance & Financial Services / Cloud Data Engineering
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
Databricks (Python, Spark, Lakehouse), Azure Data Factory, Azure DevOps, CI/CD pipelines, infrastructure automation, Git, Power BI, Fabric
Preferred skills
DataOps mindset, observability, cost optimization
Technologies
Databricks, Python, Spark, Lakeflow, Azure Data Factory, Azure DevOps, Git, Power BI, Fabric
Responsibilities
Collaborate with data engineers and scientists to build data solutions; Design and operate data pipelines on Databricks; Implement CI/CD pipelines and environment management; Standardize release and deployment processes across DataOps and MLOps; Ensure monitoring, logging, security, and performance optimization in production
Seniority
Mid-Senior, hands-on IC
