Job Description
We're hiring: Data Engineer – Madrid (Hybrid)
We are currently looking for a Data Engineer to join a leading German multinational company in the mobility and IoT industry.
Key Responsibilities
Data Engineering & Pipeline Management
Design, develop, monitor, and maintain data pipelines and ETL processes using PySpark, Azure Databricks, SQL Server Management Studio, and Azure Data Factory
Ensure data flows are reliable, scalable, and optimized for performance
Implement automated testing and monitoring to validate and maintain data quality
Optimize data processing frameworks for efficiency and scalability
Continuous Integration, Deployment & Reliability
Manage deployments using CI/CD pipelines in Azure DevOps, aligned with best engineering practices
Ensure continuous availability, reliability, and scalability of connected systems
Support performance optimization, uptime, disaster recovery strategies, and capacity planning
Collaborate with cross-function...
We are currently looking for a Data Engineer to join a leading German multinational company in the mobility and IoT industry.
Key Responsibilities
Data Engineering & Pipeline Management
Design, develop, monitor, and maintain data pipelines and ETL processes using PySpark, Azure Databricks, SQL Server Management Studio, and Azure Data Factory
Ensure data flows are reliable, scalable, and optimized for performance
Implement automated testing and monitoring to validate and maintain data quality
Optimize data processing frameworks for efficiency and scalability
Continuous Integration, Deployment & Reliability
Manage deployments using CI/CD pipelines in Azure DevOps, aligned with best engineering practices
Ensure continuous availability, reliability, and scalability of connected systems
Support performance optimization, uptime, disaster recovery strategies, and capacity planning
Collaborate with cross-function...
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