Data Ops Analyst

What You’ll Do as Data Ops Analyst In your role, you’ll collaborate with different people across a range of skillsets. Here’s a flavour of your day-to-day: - Support the operation and reliability of Primark’s modern data platform helping manage Databricks, dbt Cloud and Azure data services while ensuring data products are production-ready, supportable and aligned with engineering standards. - Monitor and maintain critical data pipelines and platform services proactively identifying failures, delays, data quality issues and operational risks while coordinating incident triage, escalation and resolution to minimise business impact. - Coordinate releases, deployments and production handovers managing environment readiness, promotion activities, change governance, operational checklists, release schedules and service readiness documentation to ensure smooth delivery. - Drive operational excellence through governance and documentation maintaining runbooks, support guides, monitoring dashboards, service catalogues and reporting on platform health, SLA performance, deployment activity and support trends. - Collaborate with Data Engineering, Platform, Cloud, Security, BAU and SIAM teams supporting access management, environment support, platform issue resolution, service reviews and continuous improvement initiatives that enhance reliability and supportability. - Contribute to Primark’s data platform modernisation journey supporting the migration from Teradata to Databricks, validating production readiness, improving monitoring and automation capabilities and helping embed modern DataOps practices across deployment, observability and support processes. What You’ll Bring Here at Primark, we want everyone to feel valued – so please bring your authentic self to work, of course with some other key experience and abilities for this role in particular: - 2-4 years’ experience in Data Operations, Application Support, Platform Support, Data Engineering Support or a similar operational role supporting business-critical systems and data platforms in a fast-paced environment. - Strong understanding of modern data platforms and DataOps practices with exposure to Azure DevOps, Databricks, dbt Cloud, Azure data services, SQL, Python, ETL/ELT processes, job scheduling, monitoring, observability and deployment automation. - Experience supporting production environments and service operations including monitoring, alerting, incident management, ticketing systems, release management, environment management, change governance and enterprise support processes. - Excellent analytical and problem-solving skills with the ability to investigate incidents methodically, identify root causes, assess business impact and drive issues through to resolution while maintaining high operational standards. - Strong stakeholder management and communication skills with the ability to collaborate effectively across Data Engineering, Platform Engineering, Security, Governance, SIAM, Analytics and business teams while clearly communicating technical issues and recommended actions. - Proactive, detail-oriented and continuous improvement focused with experience maintaining operational documentation, runbooks, handover materials and support processes while identifying opportunities to improve reliability, reduce recurring issues, increase automation and enhance overall platform supportability.