Platform Engineer

La Fosse; Greater London; Hybrid; GBP 81,000 - 99,000; Full time

Benefits offered by this job

Performance bonus

Job summary

La Fosse is hiring a Senior GCP Data Platform Engineer to own and evolve a cloud-native data platform in a hybrid model. You will design and operate GCP infrastructure, refine Terraform modules, and drive end-to-end platform automation, enabling data engineering teams with self-service capabilities.

You'll work autonomously, collaborating with Data Engineering and Platform squads while upholding security, governance and best practices across cloud environments including Azure.

Qualifications

• Strong hands-on experience operating and engineering platforms within GCP.
• Excellent Terraform and Infrastructure as Code expertise.
• Experience building and maintaining CI/CD pipelines from the ground up.
• Strong DevOps and platform engineering background.
• Experience supporting production cloud environments.
• Knowledge of networking, security and cloud infrastructure best practices.
• Experience implementing monitoring, logging and alerting solutions.
• Ability to work autonomously, take ownership of technical delivery.
• Strong stakeholder management and communication skills.
• Pragmatic approach to engineering, balancing technical excellence with business needs.
• Experience with Backstage or similar developer enablement tooling.
• Experience with BigQuery, Cloud Composer, Cloud Run, Pub/Sub, Dataflow or Dataplex.
• Exposure to both GCP and Azure environments.
• Experience supporting modern data platforms or analytics environments.
• Experience working within regulated industries such as insurance or financial services.

Responsibilities

• Design, build and maintain cloud infrastructure within GCP using Infrastructure as Code (IaC).
• Own and evolve Terraform modules, deployment standards and platform patterns.
• Build and enhance CI/CD pipelines to support data platform delivery.
• Support and optimise core GCP services used across the data estate.
• Implement monitoring, alerting, logging and observability capabilities.
• Define and maintain secure IAM, access control and governance practices.
• Develop reusable tools and automation that improve developer experience.
• Support integration and migration activities between Azure and GCP where required.
• Create and maintain technical documentation, standards and operational runbooks.
• Partner with Data Engineers and Platform teams to ensure solutions align with wider engineering standards.

Skills

GCP platform engineering

Terraform IaC

CI/CD pipelines

DevOps

Stakeholder mgmt

Autonomy

Communication

Tools

Backstage

BigQuery

Cloud Composer

Cloud Run

Pub/Sub

Dataflow

Dataplex

Azure

Terraform

Job description

Insurance | Up to £90,000 + 30% Bonus | Hybrid (1 day per week in office) - easily accessible from South West London

We're partnering with a leading UK insurance business that is building out a modern, cloud-native data platform to support its growing data and analytics capabilities. As part of this journey, they're looking for a Senior GCP Data Platform Engineer to take ownership of the infrastructure, automation and platform capabilities that underpin the wider Data Engineering function.

This is a senior individual contributor role suited to someone who enjoys building, owning and evolving cloud platforms. You'll have the autonomy to make decisions, drive technical improvements and deliver outcomes without requiring constant oversight, whilst working closely with Data Engineering and Platform teams.

The environment is highly collaborative and pragmatic, with a strong focus on enabling teams through automation, self-service tooling and engineering best practice.

What You'll Be Doing

• Design, build and maintain cloud infrastructure within GCP using Infrastructure as Code
• Own and evolve Terraform modules, deployment standards and platform patterns
• Build and enhance CI/CD pipelines to support data platform delivery
• Support and optimise core GCP services used across the data estate
• Implement monitoring, alerting, logging and observability capabilities
• Define and maintain secure IAM, access control and governance practices
• Develop reusable tools and automation that improve developer experience
• Support integration and migration activities between Azure and GCP where required
• Create and maintain technical documentation, standards and operational runbooks
• Partner with Data Engineers and Platform teams to ensure solutions align with wider engineering standards

What We're Looking For

• Strong hands-on experience operating and engineering platforms within GCP
• Excellent Terraform and Infrastructure as Code expertise
• Experience building and maintaining CI/CD pipelines from the ground up
• Strong DevOps and platform engineering background
• Experience supporting production cloud environments
• Knowledge of networking, security and cloud infrastructure best practices
• Experience implementing monitoring, logging and alerting solutions
• Ability to work autonomously, make informed decisions and take ownership of technical delivery
• Strong stakeholder management and communication skills
• Pragmatic approach to engineering, balancing technical excellence with business needs
• Experience with Backstage or similar developer enablement tooling
• Experience with BigQuery, Cloud Composer, Cloud Run, Pub/Sub, Dataflow or Dataplex
• Exposure to both GCP and Azure environments
• Experience supporting modern data platforms or analytics environments
• Experience working within regulated industries such as insurance or financial services

Why Apply?

This is an opportunity to join a business that is investing heavily in its data platform and cloud capabilities. You'll be given genuine ownership of a critical platform area, working on modern technologies and helping shape how data engineering is delivered across the organisation. The role combines strategic influence with hands-on engineering and would suit someone who enjoys building scalable, reusable platform capabilities while remaining close to the technology.