Staff Data Engineer: Data Pipelines, Quality & Observability in London

Staff Data Engineer: Data Pipelines, Quality & Observability in London

London Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Job Search Place Limited

At a Glance

  • Tasks: Design and maintain data pipelines while ensuring quality and compliance.
  • Company: Job Search Place Limited, a diverse workplace in Holborn, London.
  • Benefits: Generous stock options, 25 days annual leave, and private medical insurance.
  • Other info: Great opportunity for career growth in a supportive environment.
  • Why this job: Join a dynamic team and shape the future of data engineering.
  • Qualifications: Extensive experience with data warehousing and orchestration tools.

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

Job Search Place Limited is seeking a Staff Data Engineer in Holborn, London, to design and maintain data pipelines while ensuring quality, observability, and compliance. The ideal candidate will have extensive experience with data warehousing software and orchestration tools, along with a solid understanding of scalable data architectures.

The role offers generous stock options, 25 days of annual leave, and private medical insurance, promoting a diverse workplace environment.

Staff Data Engineer: Data Pipelines, Quality & Observability in London employer: Job Search Place Limited

Goldman Sachs is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets finance. With a strong emphasis on employee growth, comprehensive benefits including healthcare and competitive vacation policies, and a culture that fosters collaboration and creativity, this role as a VP Software Engineer provides a unique opportunity to be at the forefront of AI-driven technology in global markets.

Job Search Place Limited

Contact Details:

Job Search Place Limited Recruitment Team

We think you need these skills to ace Staff Data Engineer: Data Pipelines, Quality & Observability in London

SQL
Python
Problem-Solving Skills
Communication Skills
Automation
Attention to Detail
Data Engineering