Data Engineer
Listed on 2026-10-06
-
IT/Tech
Azure, Cloud Computing: Infrastructure & Operations, Data Engineering
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/Dev Ops expertise to join a high-profile programme. This is not a pure SRE/Dev Ops 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 Power Shell)
- Hands-on SRE/Dev Ops 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/Dev Ops 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, Dev Ops, Infrastructure, or Platform Engineering without significant software and data engineering expertise.
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