Jobs / Primark
Data Platform DevOps Analyst
Primark · Reading, ENG, United Kingdom
Reading, ENG, United KingdomExp: 2-4 yrsHybrid
Remuneration
Healthcare, pension, potential bonus, 27 days of leave plus bank holidays, option to buy 5 additional days, Tax Saver Tickets, fitness centre, and subsidised cafeteria
Location
Reading, ENG, United Kingdom
Visa sponsorship
Not specified
Job summary
The Data Ops Analyst supports the reliability, performance, and operational readiness of an enterprise data platform, partnering with Data Engineering and Platform teams to deliver trusted, well-governed data products. Responsibilities include monitoring pipelines, coordinating incident resolution, releases, and production handovers, and improving documentation, observability, automation, and support processes. The platform uses Databricks, dbt Cloud, and Azure data services, with migration work from Teradata to Databricks.
Benefits
HealthcarePensionPotential bonus27 days of leave plus bank holidaysOption to buy 5 additional days of leaveTax Saver TicketsFitness centreSubsidised cafeteria
Qualifications
- 2–4 years of experience in Data Operations, Application Support, Platform Support, Data Engineering Support, or a similar operational role.
- Understanding of modern data platforms and DataOps practices.
- Exposure to Azure DevOps, Databricks, dbt Cloud, Azure data services, SQL, Python, ETL/ELT, job scheduling, monitoring, observability, and deployment automation.
- Experience supporting production environments and service operations, including incident, release, environment, and change management.
- Strong analytical, problem-solving, stakeholder management, and communication skills.
- Proactive, detail-oriented approach to documentation and continuous improvement.
Responsibilities
- Support the operation and reliability of the enterprise data platform.
- Monitor pipelines and platform services to identify failures, delays, data quality issues, and operational risks.
- Coordinate incident triage, escalation, and resolution.
- Coordinate releases, deployments, environment readiness, and production handovers.
- Maintain runbooks, support guides, monitoring dashboards, service catalogues, and service reporting.
- Collaborate with Data Engineering, Platform, Cloud, Security, BAU, and SIAM teams on access, support, and service improvements.
- Support the migration from Teradata to Databricks and improve monitoring and automation.
Skills
AzureAzure DevOpsDatabricksdbtPython
Industry
Retail
Relocation
No