At a Glance
- Tasks: Design and develop data pipelines using Azure services for advanced analytics.
- Company: Join a leading tech firm with a focus on innovation and collaboration.
- Benefits: Competitive daily rate, hybrid work model, and opportunities for skill enhancement.
- Other info: Exciting projects with potential for career advancement in a supportive team.
- Why this job: Be at the forefront of data engineering and machine learning in a dynamic environment.
- Qualifications: Experience with Azure services and strong problem-solving skills required.
The predicted salary is between 50000 - 70000 £ per year.
Key Responsibilities:
- Design and develop robust data pipelines using Azure services (e.g., Azure Synapse, Data Factory)
- Build and maintain scalable data architectures to support analytics and reporting
- Integrate data from multiple sources, ensuring quality, reliability, and performance
- Collaborate with data scientists and analysts to enable advanced analytics and Azure ML use cases
- Optimise data workflows and troubleshoot performance issues
Core Skills:
Azure Data Engineer - SC Cleared - Machine Learning employer: Damia Group
As an Azure Data Engineer with us, you'll thrive in a dynamic and innovative environment that champions collaboration and professional growth. Our London-based team offers competitive daily rates, flexible hybrid working arrangements, and a strong commitment to employee development, ensuring you have the resources and support needed to excel in your role. Join us to be part of a forward-thinking company that values your contributions and fosters a culture of continuous learning and advancement.
We think you need these skills to ace Azure Data Engineer - SC Cleared - Machine Learning
SQL
Python
Problem-Solving Skills
Communication Skills
Data Engineering
Data Governance
Data Quality Assurance
