Enterprise Platforms Integration & Automation Specialist, SSA

Job description

Function: Enterprise Technology – Business Platforms Location: Cape Town, Hybrid Coverage: Sub-Saharan Africa Employment Type: Permanent Reports to: Enterprise Technology Business Partner, SSA Role Purpose We are looking for a technically curious Enterprise Platforms Integration & Automation Specialist to join the SSA Business Platforms team. The role will work across enterprise applications, cloud data, integrations and automation, helping connect systems, improve data flows and solve practical technology challenges across the region. This is a hands-on technology role suited to someone with a strong foundation in business systems, data, integrations or automation who wants to broaden their experience across enterprise platforms, cloud technologies and emerging AI capabilities. Candidates are not expected to have experience across every platform listed. We are looking for strong technical fundamentals, problem-solving ability, curiosity and the ability to learn quickly. Job Description: Key Responsibilities Support the implementation, integration and ongoing improvement of enterprise platforms across SSA. Build and support integrations between systems using APIs, data mapping, workflow tools and other appropriate technologies. Work with SQL, data extracts, transformations and reconciliation processes to improve data quality and reliability. Support ERP and finance-system initiatives across platforms such as Microsoft Dynamics NAV / Business Central, SAP, Deltek Maconomy, Sage or equivalent systems. Support automation using tools such as Power Automate, Logic Apps, RPA or similar technologies. Contribute to Microsoft Fabric, Power BI and other data and reporting initiatives. Support Google Cloud and Google data technologies where relevant, including BigQuery, Looker and the wider Google ecosystem. Troubleshoot integration failures, data discrepancies and platform issues through to resolution. Support testing, UAT, releases, deployment and production support. Work with business stakeholders, technology teams and vendors to translate business requirements into practical technical solutions. Maintain clear documentation, source-to-target mappings, support procedures and technical artefacts. Support appropriate security, access, governance and change-management practices. Explore practical uses of modern AI technologies including LLMs, copilots and AI agents within approved enterprise environments. What We Are Looking For Ideally, candidates will have approximately 3–5 years of relevant experience in one or more of the following: Enterprise applications or business systems Systems integration Data / BI / analytics engineering Automation or low-code development ERP or finance systems Cloud technology Application or integration development Equivalent practical experience will also be considered. Core Skills Good SQL and data-handling skills. Experience working with business applications, enterprise systems or data platforms. Exposure to APIs, system integrations, automation or workflow technologies. Strong analytical, troubleshooting and problem-solving ability. Ability to understand business requirements and translate them into technical solutions. Good communication and documentation skills. Ability to work independently while collaborating with business and technical stakeholders. Strong willingness to learn and work across different technologies. Preferred Technical Exposure Google Cloud & Data Google Cloud Platform BigQuery Looker / Looker Studio GA4 or Google Marketing Platform Gemini or Vertex AI Microsoft Power Platform Power Automate / Power Apps / Logic Apps Microsoft Fabric Power BI Azure Copilot Studio / Azure OpenAI Development & Integration Python or another scripting / development language REST APIs JSON Git Data pipelines / ETL / ELT Source-to-target mapping and data reconciliation Enterprise Platforms Dynamics NAV / Business Central Deltek Maconomy Sage SAP or equivalent ERP Workday HubSpot Salesforce ServiceNow or similar platforms Emerging Technology Exposure to LLMs, generative AI, copilots or AI agents AI-assisted development RAG or enterprise knowledge-search concepts Qualifications A relevant degree, diploma or equivalent practical experience in areas such as: Information Systems Computer Science Software Engineering Data / Analytics Engineering Finance / Business Technology Related technical disciplines Relevant Microsoft, Google Cloud, data, ERP or application certifications would be advantageous. The Person We Are Looking For We are particularly interested in someone who: Enjoys understanding how systems and data connect. Likes solving real business problems with technology. Takes ownership of issues and follows them through to resolution. Is comfortable working across both technical and non-technical teams. Can learn new platforms and technologies quickly. Has an interest in cloud, data, automation and emerging AI technologies. Is comfortable working in a small regional team where responsibilities can span multiple platforms. Wants to grow into a broader enterprise technology specialist over time. Location: Cape Town Brand: Dentsu Time Type: Full time Contract Type: Permanent