Our client is seeking two full-time Temp Data Engineers to join their Technology Division for a limited term of 12 months in their Isle of Man office. In this role, you will be a crucial part of a small, dynamic team tasked with delivering and evolving the company's data warehousing project. As the organisation transitions from legacy reporting to a real-time intelligence framework, you will help shape the future direction of data solutions. Your responsibilities will involve building scalable, cloud-first solutions using Microsoft Azure, enhancing business intelligence and operational reporting capabilities.
JOB DUTIES:
- Approach complex problems with thoughtful and practical solutions.
- Balance immediate responsibilities with broader strategic objectives.
- Configure data pipelines and services using Azure Synapse Analytics, Azure Data Factory, and other relevant tools.
- Integrate legacy systems effectively as the organisation adopts a cloud-first architecture.
- Apply appropriate data modelling techniques to facilitate reporting and integration use cases.
- Collaborate with analysts and stakeholders to deepen your domain knowledge.
- Contribute to agile delivery practices by sizing work, refining tasks, and supporting your teammates.
JOB REQUIREMENTS:
- Demonstrated experience with Microsoft Azure cloud services is essential.
- Proficiency in SQL Server databases with strong T-SQL skills is required.
- Experience using Git for source control is necessary.
- Programming skills in C#, Java, Python, or JavaScript are required.
- Familiarity with agile software delivery practices is essential.
- Experience with Azure Synapse Analytics or Azure Data Factory is crucial.
- Knowledge of DevOps practices including CI/CD pipelines and automated deployment is required.
- Experience with SQL Server Integration Services (SSIS) or SQL Server Reporting Services (SSRS) is necessary.
- Familiarity with Microsoft PowerBI is desirable.
- Understanding of data modelling approaches, such as Data Vault 2.0 or Kimball, is desirable.
- Knowledge of secure development and deployment practices is desirable.
WHAT YOU’LL LOVE:
This opportunity offers a collaborative and innovative work environment where you can contribute significantly to the transformation of data practices. You will be part of an enthusiastic team dedicated to modernising the data ecosystem, providing you with the chance to grow your skills while working on impactful projects.
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