Senior Data Engineer – Remote UK, Build Scalable Pipelines

Senior Data Engineer – Remote UK, Build Scalable Pipelines

Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
Kargo

At a Glance

  • Tasks: Build and scale data pipelines while ensuring reliable data products.
  • Company: Kargo, a forward-thinking tech company focused on data infrastructure.
  • Benefits: Remote work flexibility, competitive salary, and opportunities for professional growth.
  • Other info: Fast-paced environment with a focus on innovation and collaboration.
  • Why this job: Join a dynamic team and make an impact on cutting-edge data solutions.
  • Qualifications: Experience in ETL/ELT processes and familiarity with AWS, Docker, and Kubernetes.

The predicted salary is between 63000 - 77000 Β£ per year.

Kargo is hiring a Senior Data Engineer to build and scale the data infrastructure powering our targeting, identity, and measurement capabilities.

This remote role is based in London, UK, allowing you to contribute to data pipelines, CI/CD, and architecture decisions that move fast at scale.

You will own ETL/ELT pipelines, integrate new data sources, implement privacy-aware methods, and collaborate with engineering to ensure reliable data products across AWS, EKS, Docker, and Kubernetes.

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Senior Data Engineer – Remote UK, Build Scalable Pipelines employer: Kargo

Kargo is an exceptional employer that fosters a dynamic and innovative work culture, perfect for Senior Data Engineers looking to make a significant impact. With the flexibility of a remote role based in London, employees enjoy a collaborative environment that prioritises professional growth and development, alongside competitive benefits that support work-life balance. Join us to be part of a forward-thinking team that values your contributions and encourages you to push the boundaries of data engineering.

Kargo

Contact Details:

Kargo Recruitment Team

We think you need these skills to ace Senior Data Engineer – Remote UK, Build Scalable Pipelines

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