Mid-Level Cloud Data Platform Engineer – GCP & DevOps

This role is for a client in the financial sector, focused on developing and maintaining robust data platforms within a hybrid infrastructure.

• 3+ years of experience in DevOps, Data Engineering, or Cloud Platform engineering.
• Strong knowledge of CI/CD tools (Jenkins, GitHub, Nexus, Ansible).
• Practical understanding of cloud platforms, especially GCP, including deployment, optimization, and security best practices.
• Infrastructure as Code experience with Terraform.
• Programming skills in Bash and Python.
• Linux administration proficiency.
• Solid understanding of networking principles and system automation.
• Familiarity with SRE, Service Management, and Application lifecycle management.

Nice to have:

• Experience working within highly regulated environments.
• Skills in Kubernetes.
• Background in Data Engineering and associated tooling (Airflow, Spark).

• Maintain and enhance CI/CD tooling such as Jenkins, GitHub, Nexus, and Ansible to ensure smooth development pipelines.
• Develop and optimize CI/CD pipelines to streamline software delivery.
• Contribute to the creation of shared services components and deployment patterns on GCP.
• Automate resilience and compliance checks to meet industry standards.
• Support the development and implementation of SRE practices to improve system reliability and efficiency.

Only candidates with an existing legal right to work in the European Union will be considered for this role.