Support Hub Analyst

Ninety One; East London; On-site; ZAR 300 000 - 400 000; Full time

Job summary

A global asset management firm based in East London seeks an experienced professional to build and maintain their Enterprise Data Platform. This role focuses on Azure and Databricks technologies, with hands-on responsibilities in architecture, DevOps, and data governance. Ideal candidates will have 7-10 years of experience in technology, strong cloud services skills, and relevant certifications. Join a collaborative team dedicated to leveraging data as a product to deliver business value and drive innovation.

Qualifications

• 7-10 years of technology experience, with at least 3 years in cloud/data platform roles.
• Microsoft AZ and/or DP Certifications.
• Databricks certifications.

Responsibilities

• Build, maintain, and evolve the firm’s Enterprise Data Platform.
• Ensure secure, scalable, performant data platform infrastructure.
• Implement FinOps practices for cloud cost optimization.

Skills

Azure Cloud Services

Infrastructure as Code: Bicep and Terraform

Azure Databricks management

Azure DevOps and/or GitHub Actions pipeline management

Python scripting

SQL Server administration and performance tuning

Education

BSc Computer Science or equivalent

Tools

Azure Monitor

Log Analytics

Application Insights

Job description

About us

Ninety One is an independent, active global asset manager with R3,5 trillion * of assets under management.

Established in South Africa in 1991, as Investec Asset Management, the firm started offering domestic investments in an emerging market. In 2020, almost three decades of organic growth later, the firm demerged from Investec Group and became Ninety One.

Our distinctive capabilities sit within differentiated fixed income and credit as well as specialist equities, and we have a unique perspective and approach to investment opportunities presented by emerging markets and the energy transition.

*as at 30 September 2025

Ninety One is an equal opportunities employer. Our imperative is to attract and retain the best talent by providing a corporate environment where people from varying backgrounds can develop professionally and build a rewarding career.

About the team

At Ninety One, the vision for data is for trustworthy, discoverable and timely information to be at everybody’s fingertips. Data is our number one technology priority and foundational in our journey to become an AI-centred organisation.

The Data Technology team are custodians of Ninety One’s enterprise data platform and the core data domains that drive the firm’s investments and analytics engines. The team comprises several cross-functional, high-performing delivery squads, resourced through a mix of business and technology stakeholders. Their mandate is to deliver high quality, business value solutions, while assuring the highest standards of speed, accuracy, stability and security.

We treat data as a product and subscribe to a modern, customer-centred product development philosophy and as a team our key objectives are:

• Better data - by improving the quality, trustworthiness, traceability and ownership of data
• Faster data - by continuously reducing the time between data sourcing and information delivery
• More data - by expanding the contextual, historical and domain content available and making it discoverable

We believe in the power of technology to enable our vision and are looking for passionate, committed individuals to join us on our journey.

In this role you will

Play a pivotal role in building, maintaining, and evolving the firm’s Enterprise Data Platform from existing hybrid on-prem SQL and Azure Cloud technologies, into a fully Azure Cloud and Databricks architecture. This role is responsible for ensuring we provide a secure, scalable, and performant data platform infrastructure — enabling analytics, data science, and enterprise data integration across the business. The position is a hands-on engineering role with a blend of architectural design, DevOps and governance responsibilities across Azure, Databricks, and on-premises environments.

Platform Engineering & Management

• Build, configure, and manage Azure infrastructure components supporting the Core Data Platform.
• Develop and maintain Infrastructure-as-Code using Bicep and Terraform.
• Manage and maintain the Azure Databricks environments, including workspace creation, access management, and environment configuration.
• Oversee Azure DevOps and GitHub pipelines for CI/CD of data infrastructure and integration components.
• Implement FinOps practices to optimize cloud cost management and forecasting.

Database & Integration Management

• Support on-premises SQL Server environments (3rd line), including performance troubleshooting, tuning, and high-availability configurations.
• Collaborate with Data Integration teams to ensure smooth data movement between on-premises and cloud environments.
• Oversee and maintain secure, high-performance data pipelines and connectivity between systems.

Security, Governance & Compliance

• Design and enforce role-based access controls (RBAC) across the Databricks platform and Core Data subscriptions.
• Ensure compliance with internal security policies, regulatory standards, and data governance frameworks.
• Implement and maintain platform monitoring, logging, and alerting for proactive issue resolution.

Architecture & Standards

• Contribute to architectural design and technical standards for Azure and Databricks solutions.
• Evaluate and recommend improvements to infrastructure patterns and automation processes.
• Ensure platform architecture aligns with best practices, scalability, and resilience requirements.

Collaboration & Continuous Improvement

• Partner with Data Engineering, Architecture, and Security teams to deliver end-to-end solutions.
• Mentor junior engineers and promote knowledge sharing within the Core Data team
• Identify automation opportunities to improve efficiency and platform reliability.

You should consider applying if you have:

• Microsoft AZ and/or DP Certifications
• Databricks Data Platform, Data Engineer, Platform Architect Certifications
• BSc Computer Science or equivalent
• 7-10 years technology experience, with at least 3 years in the cloud platform/data platform roles
• Azure Cloud Services (compute, networking, storage, security, cost management)
• Infrastructure as Code: Bicep and Terraform
• Azure Databricks management (workspace setup, security, clusters, policies)
• Azure DevOps and/or GitHub Actions pipeline management
• Python scripting for automation and tooling
• SQL Server administration and performance tuning (3rd-line level)
• FinOps awareness and cloud cost optimization experience

Desirable Skills

• Experience with Azure Monitor, Log Analytics, and Application Insights
• Knowledge of data governance tools
• Familiarity with CI/CD principles for data pipelines
• Understanding of data integration frameworks and patterns (ETL/ELT)
• Exposure to enterprise identity management (Entra ID)

Some of the attributes we look for in a person are

• The ability to ‘approach and own’ and continuously look for opportunities to develop
• High conviction and be comfortable sharing opinions
• The ability to build and maintain meaningful relationships
• A client focused and collaborative approach
• A curiosity about technology and its potential to drive innovation

#LI-DNI