Data Engineers Databricks / PySpark - Full Remote

Job Description

This is a remote position.

We're hiring: Data Engineer (Freelance / Contract) – Remote

Remote | Time & Material | International enterprise environment

For our client, an enternational organization, we're looking for two experienced Data Engineers to join an IT Service Engineering team within a large international enterprise, supporting critical data engineering activities and ensuring continuity and knowledge transfer.

This position is full remote based.

Tasks and Responsibilities :

• Understand data-related dependencies, processes, system interactions, and source-of-truth concepts
  
• Identify and trace data flows across multiple source and target systems
  
• Investigate issues across system interfaces, data pipelines, and downstream processes to determine root cause
  
• Use Databricks and SQL for data analysis, assumption validation, inconsistency detection, and incident resolution
  
• Maintain and improve reliable data pipelines: validation, reconciliation, monitoring, documentation
  
• Work within established version-control, deployment, change, and release procedures
  
• Collaborate in an agile delivery environment, owning tasks end-to-end
  

Requirements

• Proven experience designing, developing, testing, and operating production-grade ETL/ELT pipelines
  
• Hands-on experience with Databricks, Python/PySpark, and SQL
  
• Experience integrating and reconciling data across enterprise systems (REST APIs, ITSM, ITFM, CMDB, IAM, ERP, monitoring, or similar)
  
• Experience with data validation, quality checks, reconciliation, monitoring, lineage, and schema evolution
  
• Git-based version control, code reviews, automated testing, CI/CD or comparable practices
  
• Experience with DEV/TEST/PROD environments and structured release/change processes
  
• Strong root-cause analysis skills across interfaces, pipelines, and downstream systems
  
• Fluent English
  

Requirements
Proven experience designing, developing, testing, and operating production-grade ETL/ELT pipelines Hands-on experience with Databricks, Python/PySpark, and SQL Experience integrating and reconciling data across enterprise systems (REST APIs, ITSM, ITFM, CMDB, IAM, ERP, monitoring, or similar) Experience with data validation, quality checks, reconciliation, monitoring, lineage, and schema evolution Git-based version control, code reviews, automated testing, CI/CD or comparable practices Experience with DEV/TEST/PROD environments and structured release/change processes Strong root-cause analysis skills across interfaces, pipelines, and downstream systems Fluent English