LinuxRecruit

Mid Level DevOps Engineer

Open 21d UKMiddle

Azure CI/CD Cloud Infrastructure as Code

Overview As a mid-level engineer, you contribute to Azure infrastructure projects under experienced mentors, delivering secure, scalable cloud solutions. You work with cross-functional teams to apply best practices in…

Lead Data Engineer

Open 22d UKLead

Agile CI/CD Cloud Data Engineering Data Governance +13 skills

Overview You drive cloud‑first data transformation for clients, leading data architecture and ETL in a Google Premier Partner context. You design scalable data solutions on GCP, building data lake/warehouse hubs and…

DevOps Engineer (SC Cleared)

Open 22d HybridUK

AWS CI/CD Cloud Infrastructure as Code Kubernetes +1 skills

Overview In this role you will advance public sector digital initiatives by shaping cloud adoption and modern engineering practices. You will work within a centre of excellence that combines corporate backing with…

Senior Azure DevOps Engineer

Open 22d UKSenior

AKS Automation Azure Cloud Infrastructure as Code

Overview In this role you will lead a large Azure-based project, shaping its direction and making key technical decisions. You will drive infrastructure as code to deliver scalable, secure cloud solutions and enhance a…

Cloud Data Engineering Data Modeling GCP IAM +3 skills

last month

Gcp data engineer - sme

Open 35d Africa

South Africa

A senior GCP data engineering SME role in Gauteng, South Africa, owning the design and delivery of a large-scale cloud data platform: defining ingestion into GCP, building and optimising data models in BigQuery, automating pipelines, and mentoring teams. Core tech is GCP (BigQuery, Cloud Storage, Pub/Sub, Kubernetes, Cloud Functions, IAM), advanced SQL, orchestration tooling and infrastructure as

BigQuery Cloud Cloud Security Data Engineering Data Lake +6 skills

last month

GCP Data Engineer - SME

Open 37d Africa

South Africa

A subject-matter-expert GCP Data Engineer role owning large-scale cloud data engineering: designing ingestion from a data lake into GCP, building automated ETL pipelines, and optimising BigQuery SQL and data models for low latency at massive scale. Core stack is GCP (BigQuery, Cloud Storage, Pub/Sub, Kubernetes, Cloud Functions, IAM) plus orchestration tooling and infrastructure as code.