Hybrid Azure Data Engineer - Python, ETL & SRE/DevOps

Experis Austria; Sheffield; Hybrid; GBP 60,000 - 99,000; Full time

Job summary

Experis Austria is seeking a Data Engineer to design, develop, and support scalable data solutions in Azure. You will work across the full software development lifecycle to build robust data pipelines and support production services.

The ideal candidate has hands-on Python development, strong Azure cloud experience, and SRE/DevOps know-how, with a focus on data engineering and production reliability. Hybrid working in Sheffield, contract to Aug 2027.

Qualifications

• Strong Python software engineering capabilities.
• Hands-on Azure cloud and data engineering experience.
• Experience building and maintaining data pipelines / ETL solutions.
• Strong SQL skills.
• Terraform and IaC.
• CI/CD, Git, and automation tooling.
• Linux administration and scripting (Bash and/or PowerShell).
• Hands-on SRE/DevOps and production support experience.

Responsibilities

• Design, develop, and support scalable data solutions within Azure across the full SDLC.
• Build robust data pipelines and automate deployments to production.
• Support production services while driving reliability and performance.

Skills

Python

Azure

Data pipelines

SQL

CI/CD

Linux scripting

SRE/DevOps

PowerShell

Tools

Terraform

Kubernetes

Job description

Experis Austria is seeking a Data Engineer to design, develop, and support scalable data solutions in Azure. You will work across the full software development lifecycle to build robust data pipelines and support production services.

The ideal candidate has hands-on Python development, strong Azure cloud experience, and SRE/DevOps know-how, with a focus on data engineering and production reliability. Hybrid working in Sheffield, contract to Aug 2027.