Data Engineers (Databricks / PySpark)

Location: Fully remote

Company

IT and digital professional services consultancy connecting technical talent with global enterprise clients.

What you will do

• Understand data dependencies, system interactions, processes, and source-of-truth concepts.
• Trace data flows across multiple source and target systems.
• Investigate issues across interfaces, data pipelines, and downstream processes to determine root causes.
• Use Databricks and SQL for data analysis, assumption validation, inconsistency detection, and incident resolution.
• Maintain and improve data pipelines through validation, reconciliation, monitoring, and documentation.
• Collaborate in an agile delivery environment and own 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 such as REST APIs, ITSM, ITFM, CMDB, IAM, ERP, or monitoring platforms.
• Experience with data validation, quality checks, reconciliation, monitoring, lineage, and schema evolution.
• Experience with Git-based version control, code reviews, automated testing, CI/CD, and structured DEV/TEST/PROD release processes.
• Fluent English required.

Culture & Benefits

• Full remote work.
• Freelance/contract engagement on a time-and-material basis.
• International enterprise environment.
• Agile delivery practices and end-to-end task ownership.