Azure Data Engineer - Brighton, United Kingdom - Networkers
Description
Public sector client requires an Azure Data EngineerBrighton (flexibkle hybrid working - 4 days per month office)
Work within a modern data architecture within the Microsoft Cloud (Azure) skilled and enthusiastic data engineers required to support our on-going innovation and development.
Embracing Agile methodologies, automated processes, and DevOps practices, we are hoping to continue to build modern data services and a mature data engineering team that delivers for both the organisation, and savers, for years to come.
- Work with business users and product owner to translate user stories into technical delivery.
- Be a handson data engineer across the suite of Azure services compiling the Data Platform.
- Build scalable and costefficient solutions using Azure data technologies, adhering to best practices and agile processes to the highest possible standards.
- Stay up to date on evolving technologies, ensure data platform and the data engineering team remain current.
- Ensure that the platform adheres to clients data governance and compliance policies.
- Support of operational processes and end users, implementing monitoring and alerting practices to ensure service reliability.
Essential
- Understanding of cloud data platforms and data storage technologies (Ideally Azure)
- Exposure to big data concepts and design practices
- Proven handson Data Engineering development experience
- Excellent SQL skills at both a functional and nonfunctional level
- Experience of building and maintaining relationships with a range of stakeholders
- Understanding of Agile working methodologies
- Use of a branchbased source control
Desirable
- Azure Databricks
- Python, Spark, C#, Powershell or other relevant programming skills
- Development of DevOps pipelines (Test automation, Infrastructure as Code, Continuous Integration/Deployment)
- Experience of Azure Analysis Services or SQL Analysis Services
- PowerBI (or similar)
- NoSQL and Graph Databases (Azure Cosmos DB)
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