Data DevOps Engineer

Job Description

As a Data DevOps Engineer (Consultant), you will be responsible for:

• Participating in the full lifecycle of data solution development, from requirements engineering through to continuous optimisation engineering and all the typical activities in between
• Providing technical thought-leadership and advisory on technologies and processes at the core of the data domain, as well as data domain adjacent technologies
• Engaging and collaborating with both internal and external teams and be a confident participant as well as a leader
• Assisting with solution improvement activities driven either by the projector service

Requirements

To excel in this very technical role, you will need to have:

• Experience of working in hybrid environments with both classical and DevOps
• Excellent written & spoken English skills

The following Technical skills & experience are required:

• Excellent knowledge of Linux operating system administration and implementation
• Broad understanding of the containerization domain adjacent technologies/services, such as: Docker, OpenShift, Kubernetes etc.
• Infrastructure as Code and CI/CD paradigms and systems such as: Ansible, Terraform, Jenkins, Bamboo, Concourse etc.
• Monitoring utilising products such as: Prometheus, Grafana, ELK, filebeat etc.
• Observability - SRE
• Big Data solutions (ecosystems) and technologies such as: Apache Spark and the Hadoop Ecosystem