Databricks Data Engineer - Cloud, Automation & Commodities

Databricks Data Engineer - Cloud, Automation & Commodities

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design and implement scalable data architecture using Databricks for innovative trading systems.
  • Company: Join a global commodities trading company with a hands-on approach.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Exciting projects with a focus on modern data architecture principles.
  • Why this job: Be at the forefront of data engineering in a dynamic and impactful industry.
  • Qualifications: Experience in data migration, Python, AWS, and SQL required.

The predicted salary is between 60000 - 80000 Β£ per year.

Bonhill Partners is looking for a hands-on Data Engineer to join a global commodities trading company.

This position focuses on designing and implementing scalable data architecture using Databricks to deliver innovative multi-asset-class systems.

The ideal candidate will possess extensive experience in data migration, particularly from RDBMS, and a solid understanding of modern data architecture principles.

Key skills include Python, AWS, and SQL.

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Databricks Data Engineer - Cloud, Automation & Commodities employer: Bonhill Partners

Bonhill Partners offers an exceptional work environment for Data Engineers, providing the opportunity to engage with cutting-edge technologies in a dynamic global commodities trading setting. Employees benefit from a culture of innovation and collaboration, alongside ample opportunities for professional growth and development. Located in a vibrant industry hub, the company fosters a supportive atmosphere that values creativity and encourages team members to push the boundaries of data engineering.

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Contact Details:

Bonhill Partners Recruitment Team

We think you need these skills to ace Databricks Data Engineer - Cloud, Automation & Commodities

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