Data Engineer – Real-Time Pipelines for Trading Analytics

Data Engineer – Real-Time Pipelines for Trading Analytics

Full-Time 50000 - 55000 Β£ / year (est.) No working from home possible
FIELD

At a Glance

  • Tasks: Build and maintain data pipelines for an innovative trading platform.
  • Company: Field, a forward-thinking Energy Storage Provider in Greater London.
  • Benefits: Hybrid working options, competitive salary, and various perks.
  • Other info: Exciting opportunities for growth in a collaborative environment.
  • Why this job: Join a dynamic team making a real impact in sustainable energy solutions.
  • Qualifications: Strong skills in Python, SQL, and cloud computing required.

The predicted salary is between 50000 - 55000 Β£ per year.

Field, an innovative Energy Storage Provider in Greater London, is seeking a Data Engineer to enhance their automated trading platform, GAIA. Your role will involve building and maintaining data pipelines while collaborating with the trading team to ensure data accuracy and availability.

The ideal candidate will have a strong background in Python, SQL, and cloud computing. You will be part of a dynamic team committed to sustainable energy solutions, enjoying hybrid working options and a competitive compensation package with various benefits.

Data Engineer – Real-Time Pipelines for Trading Analytics employer: FIELD

Field is an exceptional employer, offering a dynamic work environment in London that fosters innovation and collaboration. With a strong focus on employee growth, we provide extensive benefits including medical coverage and performance-based bonuses, ensuring our team feels valued and supported. Our hybrid working model allows for flexibility, making it an ideal place for those seeking meaningful and rewarding employment in the green energy sector.

FIELD

Contact Details:

FIELD Recruitment Team

We think you need these skills to ace Data Engineer – Real-Time Pipelines for Trading Analytics

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