Senior Lead Engineer – GCP Data Platforms & DevEx Lead
Location: London - Hybrid
Rate: up to £700 per day inside IR35
We’re seeking a hands-on Senior engineering lead to design and deliver high-volume financial data pipelines on Google Cloud Platform (GCP) while improving the Developer Experience (DevEx). This is a pivotal role bridging complex data architecture and high-velocity engineering, ensuring our platforms remain secure, observable, and robust.
What You’ll Do
* Lead technical architecture and hands-on engineering across batch data pipelines (BigQuery, Dataproc, Cloud Storage)
* Own Developer Experience (DevEx): automate environments, refine CI/CD pipelines, and reduce friction for engineering teams
* Build and optimize CI/CD pipelines using GitHub Actions
* Implement Infrastructure-as-Code (Terraform) for secure, scalable cloud environments
* Integrate database change management tools like Liquibase into automated pipelines
* Apply DevSecOps best practices across the lifecycle: static analysis, dependency scanning, and secure credential management
* Ensure observability, monitoring, and performance using GCP Operations Suite or New Relic
* Mentor engineers and collaborate across global, distributed teams
What We’re Looking For
* Proven experience in Lead Engineer, DevOps, or SRE roles with technical leadership
* Expert-level CI/CD automation and pipeline optimization
* Strong GCP expertise: BigQuery, Dataproc, Cloud Composer
* Deep data architecture and engineering knowledge: Spark, DBT, Oracle, BigQuery
* Experience designing scalable architectures (Microservices, Monoliths, Batch)
* Skilled in observability, monitoring, and DevSecOps integration
* Excellent communication with a record of collaborating globally
Why You’ll Love It
* Combine architecture, coding, and leadership in one role
* Influence the Developer Experience for a large engineering team
* Work on high-impact financial data systems
* Drive innovation in GCP cloud infrastructure and automated pipelines
Apply now to shape the future of financial data processing and developer productivity!