Hybrid Cloud Data Engineer: AWS, Snowflake & PySpark in London

Hybrid Cloud Data Engineer: AWS, Snowflake & PySpark in London

London Full-Time 50000 - 70000 Β£ / year (est.) No working from home possible
United States Digital Space LLC

At a Glance

  • Tasks: Design and build scalable cloud data platforms using AWS, Snowflake, and PySpark.
  • Company: Join a forward-thinking digital space company in London.
  • Benefits: Enjoy hybrid work flexibility, competitive salary, and growth opportunities.
  • Other info: Dynamic team environment with opportunities for professional development.
  • Why this job: Be at the forefront of cloud technology and make a real impact.
  • Qualifications: Experience in ETL/ELT development and data warehousing is essential.

The predicted salary is between 50000 - 70000 Β£ per year.

United States Digital Space LLC in London is seeking an experienced Cloud Data Engineer to design, build, and maintain scalable cloud-based data platforms and analytics solutions using AWS, Snowflake, dbt, PySpark, and SQL. The role focuses on ETL/ELT development, data warehousing, performance optimization, and regulatory domain experience, with hybrid work blending company offices, client sites, and remote work as needed.

Hybrid Cloud Data Engineer: AWS, Snowflake & PySpark in London employer: United States Digital Space LLC

United States Digital Space LLC is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration in the heart of Greater London. With a strong focus on employee well-being and flexible work options, we provide ample opportunities for professional growth and development, making it an ideal environment for those looking to make a meaningful impact in the field of AI-enabled SaaS engineering.

United States Digital Space LLC

Contact Details:

United States Digital Space LLC Recruitment Team

We think you need these skills to ace Hybrid Cloud Data Engineer: AWS, Snowflake & PySpark in London

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