Harvey Nichols

Data Engineer

• Designing and developing large-scale, high-performance data pipelines for batch and real-time processing.
• Leveraging Azure services (Data Factory, Event Hubs, Service Bus) and Databricks to orchestrate complex workflows.
• Building robust ingestion and transformation frameworks using Spark/PySpark and Python, ensuring data quality and reliability.
• Implementing CI/CD pipelines for automated deployment and testing with tools like Azure DevOps and GitHub Actions.
• Collaborating in an agile, cross-functional team, working closely with data scientists, engineers, and product stakeholders.
• Driving best practices in data architecture, security, and infrastructure-as-code (Terraform/Bicep).

Senior Data Engineer