Cloud Data Engineer: Serverless Pipelines on GCP/AWS

Cloud Data Engineer: Serverless Pipelines on GCP/AWS

Full-Time 50000 - 70000 Β£ / year (est.) Hybrid
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At a Glance

  • Tasks: Build and optimise serverless data pipelines on GCP/AWS for audience measurement.
  • Company: Ipsos, a leader in data-driven insights and audience measurement.
  • Benefits: Flexible work environment, competitive salary, and opportunities for professional growth.
  • Other info: Collaborative culture focused on innovation and continuous improvement.
  • Why this job: Join a dynamic team and shape the future of data engineering with cutting-edge technology.
  • Qualifications: Experience in cloud data engineering and familiarity with serverless architectures.

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

Ipsos is recruiting a Data Engineer to evolve our Audience Measurement data platforms using cloud-native, serverless patterns. You will join a team focused on managed cloud services, cost-conscious design, and incremental improvement, working with internal teams to develop robust data pipelines and optimize storage on GCP.

The role emphasizes serverless architectures, DataOps practices, and agile delivery, with collaboration across data scientists and engineers to productionise models.

Cloud Data Engineer: Serverless Pipelines on GCP/AWS employer: Marketing Management Analytics, Inc.

Ipsos is an exceptional employer that fosters a dynamic and inclusive work culture, allowing you to thrive as a Lead Analytics Consultant in London. With a hybrid working model, you can enjoy the flexibility of working from home while collaborating closely with talented colleagues in the office. The company prioritises employee growth through mentorship opportunities and encourages innovative thinking, making it a rewarding place to advance your career in market strategy.

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Contact Details:

Marketing Management Analytics, Inc. Recruitment Team

We think you need these skills to ace Cloud Data Engineer: Serverless Pipelines on GCP/AWS

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