Hybrid Graduate Data Engineer: Build Scalable Data Pipelines

Hybrid Graduate Data Engineer: Build Scalable Data Pipelines

Full-Time 28000 - 38000 Β£ / year (est.) No working from home possible
Quantum

At a Glance

  • Tasks: Build and maintain scalable data pipelines while ensuring data quality.
  • Company: Quantum, a forward-thinking tech company in Greater London.
  • Benefits: Gain hands-on experience, collaborate with a dynamic team, and develop your skills.
  • Other info: Great opportunity for career growth and innovation in data engineering.
  • Why this job: Join a fast-paced environment where your ideas can make a real difference.
  • Qualifications: Bachelor's degree in a relevant field and coding experience in Python or SQL.

The predicted salary is between 28000 - 38000 Β£ per year.

Quantum is seeking a Data Engineering Graduate to join their Data Engineering team in Greater London. This role offers hands-on experience in building reliable data infrastructure, with key responsibilities including:

  • Maintaining data pipelines
  • Supporting data integration
  • Ensuring data quality

The ideal candidate will possess a Bachelor's degree in a relevant field and have exposure to coding, especially in Python or SQL. Working in a fast-paced environment, you'll have the opportunity to contribute fresh ideas and engage in a team dynamic that prioritises collaboration and innovation.

Hybrid Graduate Data Engineer: Build Scalable Data Pipelines employer: Quantum

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Quantum

Contact Details:

Quantum Recruitment Team

We think you need these skills to ace Hybrid Graduate Data Engineer: Build Scalable Data Pipelines

Python
SQL
Problem-Solving Skills
Data Pipeline Development
Communication Skills
Automation
Data Engineering