Azure / AWS Cloud Engineer for Data Science

DVT is one of the top software development companies on the continent. Our engineers consult on cutting\-edge platforms at leading enterprises in South Africa and globally, with a strong culture of learning and technical excellence across the Azure and AWS ecosystems. We are building a pipeline of Cloud Engineers focused on Data Science enablement to support Standard Bank (SBSA) and related data\-platform engagements. This is a client\-facing consulting role combining data engineering, DevOps automation and platform run/support on the Microsoft Azure stack (AWS exposure beneficial). You will provision and operate secure, well\-governed data platforms, build and maintain SQL/SSIS data pipelines, and keep production systems healthy under the bank's incident, change and release processes. The ideal candidate is a hands\-on problem solver who is equally comfortable engineering data pipelines, automating cloud infrastructure, and providing disciplined production support in a regulated financial\-services environment. **DUTIES AND RESPONSIBILITIES** **Cloud Platform Engineering \& Administration (Azure, or AWS equivalent)** * Provision and manage Azure resources — virtual machines, storage, networking and integration runtimes. * Maintain the availability, performance and security of the data platform. * Monitor infrastructure health across compute, storage, networking and access. * Manage patching, upgrades and ongoing platform maintenance. * Support hybrid setups, including on\-premises to cloud connectivity where applicable. **Data Engineering** * Optional: Develop and maintain MS SQL database objects — stored procedures, T\-SQL, tables, views and table types. * Optional: Build, schedule and maintain ETL data pipelines using SSIS (and Azure Data Factory / integration runtimes). * Optional: Integrate to the data platform across Silver and Gold layers; ensure data quality, lineage and reliability. * Databricks workloads where required (optional / advantageous — not mandatory). * Maintain documentation for assumptions, logic and version control. **DevOps \& Automation** * Build and maintain CI/CD pipelines (AWS Code Pipeline, Azure DevOps, GitHub Actions or similar) for application and infrastructure delivery. * Apply version control discipline using Git across all code, pipelines and configuration. * Automate provisioning and configuration using Python and Infrastructure\-as\-Code (Terraform / ARM / Bicep; CloudFormation/CDK beneficial for AWS). * Establish reusable, well\-governed platform build patterns. **Identity, Security \& Compliance** * Manage Identity \& Access — RBAC, managed identities and Key Vault integration. * Ensure platform compliance: security, encryption and audit requirements. * Operate license\-to\-operate controls including DR, backup and security controls. * Work with infrastructure and security teams on incidents and escalations. **Monitoring, Support \& Run\-the\-Org** * Monitor logs and alerts using Azure Monitor and Log...