We are looking for a senior‑level engineer to own end‑to‑end DevOps pipelines and cloud‑native data platforms. You will lead automation, infrastructure design and mentor a high‑performing team, driving platform modernisation across our data and pricing engineering groups.
What You’ll Do
- Lead design, build and automation of cloud‑native data platforms.
- Drive technical strategy, architecture standards and engineering best practices.
- Design and manage secure, scalable GCP infrastructure with Terraform and Kubernetes.
- Create and maintain CI/CD pipelines (Harness, GitHub Actions, Jenkins) and GitOps workflows.
- Deliver cloud‑native data pipelines using Python, SQL, Spark, and BigQuery.
- Define monitoring, alerting, SLAs and improve system reliability and incident response.
- Mentor engineers and collaborate with product, security and architecture stakeholders.
What You Need
- Minimum 8 years of experience in Data Engineering, DevOps or Cloud Engineering.
- Deep expertise with GCP services (BigQuery, GKE, IAM, Networking, Dataflow).
- Proven hands‑on experience with Terraform and Kubernetes/Docker for IaC.
- Strong proficiency in CI/CD tools – Harness, GitHub Actions or Jenkins.
- Advanced programming in Python and SQL; familiar with Spark and modern data tooling.
- Demonstrated stakeholder management and mentoring of engineering teams.
The Opportunity
This role offers hybrid working flexibility and a chance to shape the next generation of data platforms while influencing architecture and delivery decisions across key programmes.