Cloud Data Engineer: Serverless Pipelines on GCP/AWS

Marketing Management Analytics, Inc.; Greater London; Hybrid; GBP 70,000 - 90,000; Full time

Benefits offered by this job

25 days annual leave

Pension contribution

Income protection

Life assurance

Job summary

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 and

Qualifications

• Extensive Data Engineering experience with modern cloud providers (prefer GCP).
• Strong Python programming with decoupled, testable functions and clear data contracts.
• Experience with serverless and event-driven architectures and managed workflow services.

Responsibilities

• Develop robust scalable data pipelines and optimise storage in GCP.
• Implement ETL processes and CI/CD to ensure clean data for analytics.
• Collaborate with data scientists to productionise models and provide guardrails.

Skills

Python

Data pipelines

Cloud computing

Testable functions

Data contracts

Tools

GCP

AWS

Pulumi/Terraform

Job description

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 and