Data Engineer

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

Data Engineer

Sheffield / Hybrid
Contract until end of August 2027
Up to £538 per day (Umbrella)

We are seeking an experienced Data Engineer with strong Python development, Azure cloud, and SRE/DevOps expertise to join a high-profile programme. This is not a pure SRE/DevOps position. We are looking for a candidate who is first and foremost a Software/Data Engineer, with hands-on experience building and supporting modern cloud-based data platforms and production environments.

The Role

You will be responsible for designing, developing, and supporting scalable data solutions within Azure, working across the full software development lifecycle. The successful candidate will have experience building robust data pipelines, automating deployments, and supporting production services while driving reliability, performance, and operational excellence.

Essential Skills & Experience

• 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 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

Desirable Skills

• Azure Databricks, Data Factory, or Data Lake
• Kafka, Event Hubs, or Spark
• Kubernetes
• Azure Monitor, Grafana, or Prometheus
• Cybersecurity experience, including SIEM/SOAR technologies
• Financial Services experience

Ideal Candidate

You will be a Software/Data Engineer first, with strong Azure expertise and the ability to work across development, automation, and operational support. Candidates with a blend of Data Engineering, Cloud Engineering, and SRE/DevOps experience will be particularly well suited. Cybersecurity experience would be advantageous but is not essential.

Please Note

We are not looking for candidates whose experience is primarily focused on SRE, DevOps, Infrastructure, or Platform Engineering without significant software and data engineering expertise.