Data Engineer

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., 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.

• 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.

To be considered, please submit your latest CV highlighting your experience with Python, Azure, Data Engineering, Terraform, CI/CD, and production support environments.