Data Engineer — Hybrid London: Real-World Pipelines

Data Engineer — Hybrid London: Real-World Pipelines

London Full-Time 50000 - 60000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Tackle complex data challenges and integrate datasets into client workflows.
  • Company: Exciting B2B SaaS start-up in London with a focus on innovation.
  • Benefits: Hybrid work model, career progression, and a dynamic team environment.
  • Other info: Great opportunities for growth in a fast-paced start-up culture.
  • Why this job: Join a passionate team and make an impact in the data engineering field.
  • Qualifications: 3+ years in data engineering with strong Python and SQL skills.

The predicted salary is between 50000 - 60000 £ per year.

A recruitment firm in London is seeking multiple Data Engineers to join a B2B Saa S start-up.

The role involves working with complex data challenges, integrating datasets into client workflows, and implementing CI/CD practices.

Candidates should have at least 3 years of experience in data engineering, strong programming skills in Python and SQL, and a passion for data engineering.

The position offers a hybrid work environment and opportunities for career progression. #J-18808-Ljbffr

Data Engineer — Hybrid London: Real-World Pipelines employer: SR2 | Socially Responsible Recruitment | Certified B Corporation™

SR2 is an excellent employer, offering a dynamic work culture that values innovation and collaboration in the heart of Edinburgh. With a focus on employee growth, we provide opportunities for professional development and the chance to make a meaningful impact in government digital transformation projects. Our flexible part-time role allows for a balanced work-life integration while contributing to significant public sector initiatives.

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Contact Details:

SR2 | Socially Responsible Recruitment | Certified B Corporation™ Recruitment Team

We think you need these skills to ace Data Engineer — Hybrid London: Real-World Pipelines

Python
Problem-Solving Skills
Communication Skills
Data Engineering
SQL
Data Quality Assurance
ETL/ELT Processes