Specsavers is seeking a Senior DataOps Engineer to build and evolve their DataOps capability, automating data pipelines, testing data quality, and ensuring production and development environments are monitored and performant. The role requires strong experience in DataOps and cloud-based data platforms, with a focus on quality, observability, and operational excellence.
Requirements
- Strong, real-world experience in DataOps and cloud-based data platforms
- Experience with Azure based technologies such as Databricks, Data Factory, Data Lake and Azure SQL
- Proficiency in Python, SQL, Git, and automation tooling
- Experience with containerisation, Kubernetes, Terraform, and modern DevOps practices
Benefits
- Competitive salary and benefits package
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