Hybrid Data Engineer: Azure & PySpark

Hybrid Data Engineer: Azure & PySpark

Full-Time 50000 - 60000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and maintain data pipelines using Python and Azure services.
  • Company: Vantage Data Centers, a leader in enterprise data solutions.
  • Benefits: Competitive pay, health benefits, and hybrid work flexibility.
  • Other info: Great opportunities for career growth in a dynamic environment.
  • Why this job: Join a collaborative team and make an impact on data engineering.
  • Qualifications: Experience with Python, Azure, and a self-starter attitude.

The predicted salary is between 50000 - 60000 £ per year.

Vantage Data Centers is looking for a Mid‐Level Data Engineer in London to help build and scale the enterprise data platform. You'll design and maintain data pipelines using Python and Azure services, ensuring quality and compliance.

This role requires collaboration with cross-functional teams and a self-starter mindset. The position supports hybrid work, with 3 days on-site and 2 days remote.

The company promotes a culture of teamwork and offers a competitive compensation package including health benefits.

Hybrid Data Engineer: Azure & PySpark employer: Vantage Data Centers

Vantage Data Centers is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration. With flexible work arrangements that promote a healthy work-life balance, employees benefit from opportunities for professional growth and development in a cutting-edge environment focused on data engineering and analytics. Located in London, the company provides a vibrant setting for those looking to make a meaningful impact in the tech industry.

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Contact Details:

Vantage Data Centers Recruitment Team

We think you need these skills to ace Hybrid Data Engineer: Azure & PySpark

Python
Problem-Solving Skills
SQL
Data Engineering
Data Pipeline Development
API Integration
Communication Skills