Snowflake Data Engineering Lead in London

Snowflake Data Engineering Lead in London

London Full-Time 70000 - 90000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead teams to create scalable data solutions on the Snowflake platform.
  • Company: Join SwiftCruit, a forward-thinking company in the tech space.
  • Benefits: Enjoy competitive pay, flexible work options, and growth opportunities.
  • Other info: Dynamic role with potential for career advancement.
  • Why this job: Make a significant impact by shaping data engineering practices.
  • Qualifications: Strong leadership in cloud environments and expertise in Snowflake required.

The predicted salary is between 70000 - 90000 Β£ per year.

SwiftCruit is seeking a Data Engineering Lead to oversee the implementation of scalable data engineering solutions on the Snowflake platform. This position involves leading engineering teams, ensuring the quality and performance of data pipelines, and collaborating with business and technology stakeholders.

The ideal candidate will possess strong leadership experience in cloud-based environments, deep expertise in Snowflake, and a strong understanding of data governance principles. A bachelor's degree in a relevant field and relevant certifications are desirable.

Snowflake Data Engineering Lead in London employer: SwiftCruit

At SwiftCruit, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. As a Data Engineering Lead, you will benefit from ongoing professional development opportunities, competitive compensation, and the chance to work with cutting-edge technology in a collaborative environment. Our commitment to innovation and employee well-being makes us an exceptional employer for those seeking meaningful and rewarding careers in data engineering.

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Contact Details:

SwiftCruit Recruitment Team

We think you need these skills to ace Snowflake Data Engineering Lead in London

Leadership Experience
Snowflake Expertise
Data Engineering Solutions
Cloud-Based Environments
Data Governance Principles
Quality Assurance
Performance Optimisation