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Data Engineers Databricks PySpark Full Remote

Avanda Solutions


Job Location:

Zürich - Switzerland

Monthly Salary: Not provided by the employer
Posted: 24 August 2026 (2 days ago)
Application Deadline: 21 November 2026
Vacancies: 1 Vacancy

Job Summary

This is a remote position.

Were hiring: Data Engineer (Freelance / Contract) Remote

Remote Time & Material International enterprise environment

For our client an enternational organization were 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



Required Skills:

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