2 of 2 Infrastructure Automation Jobs in the City of Westminster

based data architectures using Azure services. Building robust and scalable data pipelines to support complex, high-volume processing. Deploying and managing containerised workloads through Kubernetes, Helm, and Docker. Automating infrastructure using Infrastructure-as-Code tools such as Terraform and Ansible. Ensuring system reliability through observability, monitoring, and proactive issue resolution. Collaborating with cross-functional teams to align data … continuous improvement of processes, deployment, and data quality standards. What We Are Looking For: Previously worked as a Senior Data Engineer, Data Engineer, Data Platform Engineer, Data Architect, Data Infrastructure Engineer, Cloud Data Engineer, DataOps Engineer, Data Pipeline Engineer, Devops Engineer or in a similar role. Proven experience with Azure cloud platforms and related architecture. Highly skilled in Python … for data engineering, scripting, and automation. Strong working knowledge of Kubernetes, Docker, and cloud-native data ecosystems. Demonstrable experience with Infrastructure as Code tools (Terraform, Ansible). Hands-on experience with PostgreSQL and familiarity with lakehouse technologies (e.g. Apache Parquet, Delta Tables). Exposure to Spark, Databricks, and data lake/lakehouse environments. Understanding of Agile development methods, CI More ❯

based data architectures using Azure services. Building robust and scalable data pipelines to support complex, high-volume processing. Deploying and managing containerised workloads through Kubernetes, Helm, and Docker. Automating infrastructure using Infrastructure-as-Code tools such as Terraform and Ansible. Ensuring system reliability through observability, monitoring, and proactive issue resolution. Collaborating with cross-functional teams to align data … continuous improvement of processes, deployment, and data quality standards. What We Are Looking For: Previously worked as a Senior Data Engineer, Data Engineer, Data Platform Engineer, Data Architect, Data Infrastructure Engineer, Cloud Data Engineer, DataOps Engineer, Data Pipeline Engineer, Devops Engineer or in a similar role. Proven experience with Azure cloud platforms and related architecture. Highly skilled in Python … for data engineering, scripting, and automation. Strong working knowledge of Kubernetes, Docker, and cloud-native data ecosystems. Demonstrable experience with Infrastructure as Code tools (Terraform, Ansible). Hands-on experience with PostgreSQL and familiarity with lakehouse technologies (e.g. Apache Parquet, Delta Tables). Exposure to Spark, Databricks, and data lake/lakehouse environments. Understanding of Agile development methods, CI More ❯