DataOps / Data Quality Engineer

The search

We’re hiring a hands-on DataOps / Data Quality Engineer to build and automate data validation and testing across Azure-based data platforms. The role focuses on ensuring reliable, observable, and well-governed data pipelines while applying Data Reliability Engineering (SRE) principles.

Responsibilities

• Build and automate data validation frameworks and quality checks

• Test and validate Azure data pipelines and PySpark notebooks

• Define monitoring, alerting, KPIs, and SLAs using Azure Monitor and KQL

• Automate validations and reconciliations using SQL and scripting

• Embed DataOps and reliability best practices across engineering teams

Essential skills

• Strong experience in data quality, validation, and automated testing

• Experience working with PySpark and large-scale data processing

• Familiarity with CI/CD and Azure DevOps