Azure Data Engineer — Python, Pipelines & Cloud Ops

Undisclosed; Sheffield; Presencial; GBP 55.000 - 85.000; Jornada completa

Descripción de la vacante

Undisclosed is seeking an experienced Data Engineer to design, develop, and support scalable data solutions within Azure. You will work across the full software development lifecycle to build robust data pipelines and automate deployments for production systems.

The role requires strong Python development, hands‑on Azure cloud expertise, and SRE/DevOps experience to drive reliability, performance, and operational excellence across data platforms.

Formación

• Strong Python software engineering capabilities.
• Hands‑on Azure cloud and data engineering experience.
• Experience building and maintaining data pipelines / ETL solutions.
• Terraform and Infrastructure as Code (IaC).
• CI/CD, Git, and automation tooling.
• Linux administration and scripting (Bash and/or PowerShell).
• Hands‑on SRE/DevOps and production support experience.
• Kafka, Event Hubs, or Spark.
• Cybersecurity experience, including SIEM/SOAR technologies.

Responsabilidades

• Designing, developing, and supporting scalable data solutions within Azure.
• Work across the full software development lifecycle.
• Build robust data pipelines and automate deployments.
• Support production services with a focus on reliability and performance.

Conocimientos

Python

Azure

CI/CD

SRE/DevOps

Data pipelines

Bash/PowerShell

Linux scripting

Kafka/Spark

Cybersecurity

ETL development

Herramientas

Terraform

Git

Automation tooling

PowerShell

Descripción del empleo

Undisclosed is seeking an experienced Data Engineer to design, develop, and support scalable data solutions within Azure. You will work across the full software development lifecycle to build robust data pipelines and automate deployments for production systems.

The role requires strong Python development, hands‑on Azure cloud expertise, and SRE/DevOps experience to drive reliability, performance, and operational excellence across data platforms.