Data Platform DevOps Analyst

Overview

In this role, you will support the reliability and performance of Primark’s Databricks-based data platform as part of the Data Platform & Engineering team. You’ll monitor data pipelines, manage incidents, coordinate releases, and ensure data products are governed, scalable, and production-ready. You’ll collaborate with Data Engineering and Platform teams to deliver trusted data solutions while driving operational excellence. This is a chance to contribute to a modern data platform and impact cross-team data-driven decisions.

Pay / Benefits

• Healthcare
• Pension
• Bonus
• 27 days leave
• Bank holidays
• Tax Saver Tickets

Responsibilities

• Support operation and reliability of the data platform (Databricks, dbt Cloud, Azure data services) ensuring production readiness
• Proactively monitor pipelines and services, identify failures and data quality issues, and coordinate incident triage and resolution
• Coordinate releases, deployments, environment readiness, and change governance to ensure smooth delivery
• Maintain runbooks, dashboards, service catalogs, and documentation to support platform health and governance
• Collaborate with Data Engineering, Platform, Security, Governance, SIAM, Analytics and business teams to improve reliability and supportability
• Contribute to data platform modernization, including migration from Teradata to Databricks and enhancing monitoring and automation

Key requirements

• 2-4 years’ experience in Data Operations or similar operational role
• Strong understanding of modern data platforms and DataOps practices
• Exposure to Azure DevOps, Databricks, dbt Cloud, Azure data services, SQL, Python
• Experience with production environments, monitoring, incident management, release management and change governance
• Analytical problem-solving with ability to identify root causes and drive resolution
• Excellent stakeholder management and cross-team communication skills
• Proactive, detail-oriented with focus on continuous improvement and automation

• strong communication
• stakeholder management
• proactive problem-solving
• Databricks
• dbt Cloud
• Azure data services

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