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.