Azure Data Engineer for Large-Scale Data Transformation

Azure Data Engineer for Large-Scale Data Transformation

Full-Time 70000 - 80000 £ / year (est.) No working from home possible
Involved Solutions

At a Glance

  • Tasks: Design and maintain data pipelines on Azure for a high-impact project.
  • Company: Involved Solutions, a leader in data transformation based in Central London.
  • Benefits: Competitive rate of up to £350/day and potential contract extension.
  • Other info: Work 2 days a week onsite with opportunities for career growth.
  • Why this job: Join a transformative project and enhance your skills in a dynamic environment.
  • Qualifications: Strong experience with Azure Data Factory and Databricks required.

The predicted salary is between 70000 - 80000 £ per year.

Involved Solutions is looking for an Azure Data Engineer to support a high-impact data transformation project in Central London. This contract position offers a rate of up to £350/day and requires 2 days a week onsite.

The successful candidate will:

  • Design and maintain data pipelines on Azure
  • Optimize ETL processes
  • Integrate various data sources

Strong experience with Azure Data Factory and Databricks is essential. Potential for extension after the initial 6-month period.

Azure Data Engineer for Large-Scale Data Transformation employer: Involved Solutions

Involved Solutions is an excellent employer, offering a dynamic work environment in the heart of Central London. With a strong focus on employee growth and development, we provide opportunities for skill enhancement through challenging projects like our high-impact data transformation initiative. Our collaborative culture fosters innovation and teamwork, making it a rewarding place to advance your career while enjoying the vibrant city life.

Involved Solutions

Contact Details:

Involved Solutions Recruitment Team

We think you need these skills to ace Azure Data Engineer for Large-Scale Data Transformation

Azure Data Factory
Databricks
Data Pipeline Design
ETL Process Optimisation
Data Integration
Cloud Computing
Data Transformation