Data DevOps Engineer

Location: Gloucestershire / Bristol (full-time onsite)
Salary: £65 – £95K per annum Negotiable DOE
Benefits: Flexible working hours, career opportunities, private medical, excellent pension, and social benefits

NOTE: Active DV Clearance is highly desirable. Please note that candidates will need to be eligible to undergo DV Clearance.

The Client:
Curo are collaborating with a global edge-to-cloud company advancing the way people live and work. They help companies connect, protect, analyse, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world.

The Candidate:
We are looking for a bright, driven, customer focussed professional to join our clients Hybrid Cloud Delivery team, and work alongside Enterprise Data Engineering Consultants to accelerate and drive data engineering opportunities.

This is a fantastic opportunity for a dynamic individual with big ambitions, who is an established technologist with both outstanding technical ability and consultative mindset. This would suit an open-minded personable self-starter who relishes the fluidity and collaborative nature of consultancy.

The Role:
This role sits on our clients Advisory and Professional Services delivery team, who provide thought-leadership, industry know-how and technical excellence to consultative engagements. Helping customers to reap maximum business benefit from their technical investments, leveraging best in class Vender & Partner technologies to create relevant and effective business-valued technical solutions.

The Data DevOps Engineer role is all about the detailed development and implementation of scalable clustered Big Data solutions, with a specific focus on automated dynamic scaling, self-healing systems.

Duties:

• 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 project or service.

Essential Requirements:

• Excellent knowledge of Linux operating system administration and implementation .
• Broad understanding of the containerisation 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
• Edge technologies e.g. NGINX, HAProxy etc.
• Excellent knowledge of YAML or similar languages

Desirable Requirements:

• Jupyter Hub Awareness
• Minio or similar S3 storage technology
• Trino / Presto
• RabbitMQ or other common queue technology e.g. ActiveMQ
• NiFi
• Rego
• Familiarity with code development, shell-scripting in Python, Bash etc.

To apply for this Data DevOps Engineer job, please click the button below and submit your latest CV.

Job Reference: RL6903