Hybrid Data Engineer: Cloud Pipelines on GCP

Ipsos; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Annual leave

Pension

Income protection

Life assurance

Hybrid work

Wellbeing benefits

Professional development

Job summary

Ipsos is recruiting a Data Engineer to help evolve our Audience Measurement data platforms. You will work with a team to build robust data pipelines on GCP, using Python for backend processing, and apply serverless and IaC practices.

The role involves collaborating with data scientists, implementing ETL and CI/CD, and contributing to data contracts and DataOps within a hybrid London-based setting. Join a cloud-native environment on AWS/GCP, with cross-training opportunities and a focus on

Qualifications

• Extensive Data Engineering Experience building scalable data pipelines on cloud platforms (preferably GCP).
• Expert Python skills for decoupled, testable functions and clear data contracts.
• Serverless and event-driven design with managed workflow services.
• IaC and containerization: packaging runtimes into containers and provisioning resources.
• Team collaboration with PMs, Data Scientists, Engineers and non-technical staff.

Responsibilities

• Develop robust scalable data pipelines and optimize storage on GCP.
• Implement ETL processes and CI/CD pipelines for clean, structured data.
• Collaborate with data scientists to productionise models and set data contracts.
• Provide technical support, troubleshoot issues, and research new technologies.
• Document pipelines and architectures to enforce data standards.
• Engage in DataOps and improve data delivery performance.

Skills

Python

Data pipelines

GCP

Cloud

Serverless

IaC

Terraform

Pulumi

Event-driven

Data storage

CI/CD

Tools

Pulumi

Terraform

Docker

Job description

Ipsos is recruiting a Data Engineer to help evolve our Audience Measurement data platforms. You will work with a team to build robust data pipelines on GCP, using Python for backend processing, and apply serverless and IaC practices.

The role involves collaborating with data scientists, implementing ETL and CI/CD, and contributing to data contracts and DataOps within a hybrid London-based setting. Join a cloud-native environment on AWS/GCP, with cross-training opportunities and a focus on