Build and maintain cloud-first data warehousing solutions, pipelines and reporting capabilities using Microsoft Azure and related tools.
Our client seeks a Data Engineer to join their team on a 12 Month fixed contract.
Role Profile
You will be a key member of a small team of Data Engineers, contributing not only to the delivery of the solution but also helping shape its future direction.
As we shift from building the data warehousing project to maintaining and evolving it, you'll play a crucial role in defining your own path by generalising capabilities, streamlining processes, and optimising for long-term impact.
Join the team in modernising the data ecosystem by building fast, scalable, cloud-first solutions with Microsoft Azure, revolutionizing data warehousing, business intelligence, and operational reporting capabilities.
Transforming how decisions are made, moving from legacy reports to real-time intelligence. A good data solution enables business users to explore ideas and make informed choices quickly and effectively.
Key Responsibilities
- Approach problems, familiar and novel, with thoughtful solutions.
- Balance immediate tasks with broader, strategic goals.
- Configure data pipelines and services using Azure Synapse Analytics, Azure Data Factory, and other tooling.
- Integrate legacy systems pragmatically as we transition to tomorrow's cloud-first architecture.
- Apply appropriate data modelling techniques to enable reporting and integration use cases.
- Grow your domain expertise through collaboration with analysts and stakeholders.
- Contribute to agile delivery: sizing work, refining tasks, and supporting teammates.
Key Skills and Experience
- Microsoft Azure cloud services.
- SQL Server databases, with strong T-SQL proficiency.
- Git source control.
- Programming in C#, Java, Python or JavaScript.
- Agile software delivery.
- Azure Synapse Analytics or Azure Data Factory.
- DevOps practices: CI/CD pipelines, automated deployment.
- SQL Server Integration Services (SSIS) or SQL Server Reporting Services (SSRS).
- Microsoft PowerBI.
- Data modelling approaches: Data Vault 2.0 or Kimball - Desirable.
- Secure development and deployment practices - Desirable.
If you have the required skills please apply online at searchandselect.com quoting reference number: 16884
