Senior DevOps Engineer: GCP & Data Pipelines, Remote-First

BI:PROCSI; United Kingdom; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A leading IT consultancy in the United Kingdom seeks a Senior DevOps Engineer to design and manage GCP infrastructures. This role is remote-first with occasional office presence. Candidates should have strong experience in GCP services, proficiency in CI/CD, and excellent analytical skills. The successful individual will troubleshoot complex data pipelines and collaborate effectively with technical and non-technical stakeholders. A commitment to data privacy and security is essential. Attractive company culture and growth opportunities offered.

Qualifications

• Proven experience as a DevOps Engineer/Consultant with successful project delivery.
• Hands-on experience with GCP services like BigQuery and Dataflow.
• Strong programming and scripting skills in Python, Bash, or Go.
• Experience with data processing frameworks like Apache Kafka and Spark.
• Proficiency in CI/CD tools such as Jenkins and Git.
• Understanding of data privacy regulations.

Responsibilities

• Design and implement scalable GCP infrastructures for clients.
• Work with stakeholders and developers to define data solutions.
• Automate deployment processes using CI/CD pipelines.
• Implement data processing frameworks as per project needs.
• Build monitoring systems ensuring system health and performance.
• Troubleshoot complex technical challenges during client engagements.

Skills

GCP Services (BigQuery, Dataflow, Pub/Sub)

Python programming

Bash scripting

Go programming

Apache Kafka

Apache Spark

CI/CD tools (Jenkins, GitLab CI/CD)

Terraform

Analytical skills

Strong communication

Job description

A leading IT consultancy in the United Kingdom seeks a Senior DevOps Engineer to design and manage GCP infrastructures. This role is remote-first with occasional office presence. Candidates should have strong experience in GCP services, proficiency in CI/CD, and excellent analytical skills. The successful individual will troubleshoot complex data pipelines and collaborate effectively with technical and non-technical stakeholders. A commitment to data privacy and security is essential. Attractive company culture and growth opportunities offered.