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.

• 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.

• 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.

• 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.

• 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.

• Monitor logs and alerts using Azure Monitor and Log Analytics; configure proactive alerting.

• Provide production (Run-the-Org) support: troubleshooting, bug fixes, monitoring and corrective maintenance per the bank's Incident and Problem Management process.

• Test, document and implement changes per the bank's Change and Release Management process.

• Participate in disaster-recovery testing, planning and documentation; adhere to and mitigate audit/compliance findings.

• 5+ years in Cloud Engineering, DevOps, Data Engineering or related roles, with hands-on delivery in regulated/enterprise environments.

• Mandatory: MS SQL (including stored procedures), SSIS, Microsoft Azure cloud, and version control (Git).

• Strong Python for automation and data tooling (highly advantageous).

• Azure platform operations: VMs, storage, networking, integration runtimes, Azure Monitor, Log Analytics, RBAC, managed identities, Key Vault.

• AWS platform operations: EC2, storage, Route-53, Cloudwatch

• CI/CD pipeline construction and Infrastructure-as-Code (Terraform / ARM / Bicep).

• Production / Run-the-Bank support: incident, problem, change and release management; DR and backup.

• Experience in banking or financial-services / regulated environments.

• Beneficial (not required): AWS engineering (EC2, ECS/EKS, Lambda, S3, IAM, CloudFormation/CDK), Databricks, Azure Data Factory / Synapse, Power BI.

• Matric (Grade 12) certificate

• Bachelor's degree in Computer Science, Information Technology, Engineering or a related field (or equivalent practical experience).

• At least two (foundation and solution architect associate) one relevant professional cloud certification (Microsoft Azure or AWS; Kubernetes equivalent acceptable).

• South African work authorisation or valid work permit

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