Azure Data & DevOps Engineer

Azure Data & DevOps Engineer

Sheffield, South Yorkshire – 500 – 526.5 (Inside IR35) – Umbrella Contract Posted by: GIOS Technology Limited

Posted: Monday, 5 October 2026

We are hiring Azure Data & DevOps Engineer (No Visa Sponsorship)

Location: Hybrid 3 Days in Sheffield

• Strong expertise in data pipeline development with hands‑on Azure SRE/DevOps production support (not a standalone infrastructure role).
• Design, build, automate, and support end‑to‑end data pipelines and ETL workflows in an Azure cloud environment.
• Strong Python software engineering, advanced SQL, Infrastructure as Code (Terraform), CI/CD (Git, continuous integration pipelines), and Linux Scripting (Bash/PowerShell).
• Azure Cloud ecosystem combined with practical SRE/DevOps practices, monitoring, and production troubleshooting.
• Databricks, Azure Data Factory (ADF), Azure Data Lake, Apache Spark, Kafka, Event Hubs, and Kubernetes.
• Azure Monitor, Grafana, Prometheus, and exposure to Cybersecurity, SIEM/SOAR platforms, or Financial Services domains.

Key Skills

• Python
• SQL
• Database & Querying
• Azure cloud
• ETL
• Data pipelines
• Infrastructure as Code (IaC)
• Terraform

Additional Details

• Location: Sheffield, South Yorkshire, UK
• Industry: IT
• Duration: 10 months – To Start with
• Start Date: 02-NOV-2026
• Rate: 500 – 526.5 (Inside IR35) – Umbrella
• Employment Business: GIOS Technology Limited
• Contact: Kamal Chinnasami
• Email Contact: This Employment Business
• Reference: JS PYTHON / SQL / DATABASE & QUERYING / AZURE CLOUD / ETL / DATA PIPELINES / INFRASTRUCTURE AS CODE (I
• Posted Date: 10/5/2026 9:18:59 AM
• Permalink: http://www.careerboard.com/hBqKv

#s1-Gen

• Strong expertise in data pipeline development with hands‑on Azure SRE/DevOps production support (not a standalone infrastructure role).
• Design, build, automate, and support end‑to‑end data pipelines and ETL workflows in an Azure cloud environment.
• Strong Python software engineering, advanced SQL, Infrastructure as Code (Terraform), CI/CD (Git, continuous integration pipelines), and Linux Scripting (Bash/PowerShell).
• Azure Cloud ecosystem combined with practical SRE/DevOps practices, monitoring, and production troubleshooting.
• Databricks, Azure Data Factory (ADF), Azure Data Lake, Apache Spark, Kafka, Event Hubs, and Kubernetes.
• Azure Monitor, Grafana, Prometheus, and exposure to Cybersecurity, SIEM/SOAR platforms, or Financial Services domains.

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