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🧑🏻‍💻 BUSINESS CENTRAL DEVELOPER(S)

📆 3-6 Month Contract (Full-Time Hours)

💰 R300 - R480 per hour (Negotiable)

We're hiring:

✅ Intermediate BC Developer (3+ years' experience)

✅ Senior BC Developer (6+ years' experience)

You'll be working across Microsoft Dynamics NAV & Business Central, developing and customising solutions using AL/C/AL, building SSRS reports, providing functional support, managing change requests, conducting UAT, and resolving system issues in a collaborative ERP environment.

Key Skills Required:

✅ Microsoft Dynamics 365 Business Central

✅ Dynamics NAV

✅ AL & C/AL Development

✅ SSRS

✅ Microsoft SQL Server

✅ ERP Solutions

❗ Open to South African Citizens, Permanent Residents & Valid Work Permit Holders only.

🚫 Applicants residing outside South Africa will not be considered.

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Are you a skilled Dynamics 365 Finance & Operations Developer looking to work on enterprise-scale ERP implementations and digital transformation projects?

We are seeking an experienced Dynamics 365 F&O Developer to join a high-performing consulting and delivery team. This role offers the opportunity to work with leading organisations, delivering innovative ERP solutions, customisations, integrations, and enhancements within the Microsoft Dynamics ecosystem.

Key ResponsibilitiesDevelopment & CustomisationDesign, develop, and customise Microsoft Dynamics 365 Finance & Operations solutions using X++.Develop and extend forms, reports, workflows, and business logic.Create and deploy code packages through Azure DevOps pipelines.Manage source control, branching, and code merging processes.Integration & Technical SolutionsDevelop integrations between Dynamics 365 F&O and third-party systems.Work with Azure Functions, Logic Apps, Dataverse, and Dual Write technologies.Support data migration and synchronisation initiatives.System Optimisation & SupportReview and optimise existing code.Conduct peer code reviews and ensure development best practices.Troubleshoot and resolve technical issues and bugs.Support upgrades and maintain compatibility with platform updates.Project DeliveryParticipate in solution design workshops, gap-fit analysis, and technical design sessions.Develop technical specifications and provide effort estimates.Support testing, deployment, and go-live activities.Work closely with functional consultants and business stakeholders to deliver quality solutions.RequirementsEssential Skills & ExperienceMinimum 3 years' hands-on experience developing within Microsoft Dynamics 365 Finance & Operations.Strong X++ development skills.Experience with Dynamics AX and/or Dynamics 365 F&O.Proficiency in Visual Studio, SQL Server, and SSRS.Experience with Azure DevOps and CI/CD pipelines.Strong understanding of ERP development principles.Advantageous ExperienceFull lifecycle Dynamics 365 F&O implementation experience.Exposure to Finance, Supply Chain Management, or Manufacturing modules.Experience with Dataverse, Dual Write, Azure Functions, and Logic Apps.Microsoft Dynamics certifications.

If you're passionate about Dynamics 365 development and want to work on impactful ERP projects, we'd love to hear from you.

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We are seeking a detail-oriented and technically skilled Microsoft Dynamics 365 Supply Chain Support Consultant to join a fast-paced ERP support environment.

In this role, you will provide 1st and 2nd line functional support across Dynamics 365 Finance & Operations (Supply Chain Management) or Business Central environments, ensuring smooth business operations across procurement, inventory, warehousing, and logistics processes.

You will act as a key link between business users, functional consultants, and technical teams-resolving issues, improving processes, and supporting continuous system optimisation.

🔧 Key Responsibilities

🛠 Functional Support & Issue Resolution

Provide 1st and 2nd line support for Dynamics 365 SCM modules:Procurement & sourcingInventory managementWarehouse management (WMS)Sales order processingLogistics & transportationTroubleshoot and resolve functional system issues and user queriesLog, track, and manage incidents using ITSM tools (ServiceNow / Jira / Zendesk)Perform root cause analysis and escalate complex issues where required

👥 User Support & Training

Support end users with system processes and best practicesAssist with onboarding and training on SCM-related processesCreate and maintain SOPs, user guides, and knowledge base articles

⚙ System Maintenance & Process Improvement

Assist with system updates, enhancements, and configuration testingParticipate in UAT and release validation cyclesIdentify opportunities to improve supply chain system efficiency and accuracy

📊 Data & Reporting Support

Support data validation, cleansing, and integrity across SCM modulesAssist with reporting using tools such as Power BI, SSRS, or ExcelEnsure accuracy of procurement, inventory, and vendor data

🤝 Collaboration & Project Support

Work closely with Finance, Operations, and IT teamsSupport ERP rollout, enhancement, and upgrade initiativesCollaborate with developers and functional consultants on escalations

🎯 Minimum Requirements

2+ years experience supporting Microsoft Dynamics 365 F&O or Business CentralStrong understanding of end-to-end supply chain processesExposure to SCM modules (procurement, inventory, warehouse, sales orders)Experience with ITSM tools (ServiceNow, Jira, Zendesk, or similar)Strong troubleshooting and problem-solving skillsAbility to work with both technical and non-technical stakeholders

⭐ Nice to Have

Experience with Power BI, SSRS, or advanced Excel reportingExposure to WMS, TMS, or vendor management systemsBasic understanding of integrations or ERP data flowsExperience in UAT or ERP implementation projectsMicrosoft certifications (Dynamics, Power Platform, Azure)

🧠 What We're Looking For

Strong analytical thinker with a hands-on problem-solving approachCustomer-focused mindset with excellent communication skillsAbility to work under pressure in a support-driven environmentPassion for ERP systems and continuous improvement

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As a Senior Java Developer, you will be responsible for designing, developing, and maintaining robust backend services that power mission-critical financial systems. You will work closely with cross-functional teams to deliver secure, high-performance, and scalable solutions that support large-scale transaction processing.

Key ResponsibilitiesDesign, develop, and maintain high-performance Java-based backend systems using Spring / Spring BootBuild and optimize services for high-volume transaction processing environmentsCollaborate with architects and product teams to translate business requirements into technical solutionsEnsure system reliability, scalability, and low-latency performance in production environmentsImplement secure coding practices aligned with financial services compliance standardsTroubleshoot and resolve complex production issues in distributed systemsContribute to code reviews, mentoring, and improving engineering best practicesIntegrate with payment gateways, banking systems, and third-party financial APIsParticipate in system design discussions and architectural decisions

Required Experience & SkillsStrong experience with Java (8+) and Spring Framework / Spring BootProven background in payments, fintech, banking, or financial servicesExperience working in high-throughput, transaction-heavy systemsStrong understanding of RESTful APIs and microservices architectureFamiliarity with distributed systems, messaging queues (e.g., Kafka/RabbitMQ)Experience with SQL/NoSQL databasesSolid understanding of system performance tuning and scalabilityStrong problem-solving and debugging skillsNice to HaveExperience with cloud platforms (AWS, Azure, or GCP)Knowledge of containerization (Docker, Kubernetes)Exposure to DevOps practices and CI/CD pipelinesUnderstanding of PCI-DSS or financial compliance standards Read less

Responsibilities
Designing and building applications

Develop custom business applications using Microsoft Power Apps, translating business requirements into functional, user-friendly solutions.

Integrating data sources

Connect apps to data sources such as Dataverse, SharePoint, SQL Server, and other Microsoft or third-party services to ensure seamless data flow.

Automating business processes

Create workflows using Power Automate to streamline tasks like approvals, notifications, and data processing across systems.

Testing and troubleshooting applications

Identify and fix bugs, performance issues, and usability problems to ensure apps run reliably and meet user expectations.

Collaborating with stakeholders

Work closely with business users, analysts, and IT teams to gather requirements, provide updates, and deliver solutions aligned with business needs.

Qualification and experience
5 Years in solution design, handles complex integrations (SQL, APIs, Azure services), optimizes performance, and mentors others

Bachelor's Degree in Computer Science, Information Technology, Software Engineering, or Information System

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We are looking for an experienced and highly skilled Senior MERN Developer to join our dynamic team. The ideal candidate will have strong expertise in the MERN stack, including ReactJS, ExpressJS, MongoDB, and NodeJS.

This is a full-time, onsite role requiring a committed professional with a proven history of delivering robust, high-quality software solutions. The successful candidate will be responsible for designing and implementing applications that effectively meet client requirements while ensuring exceptional standards of performance, scalability, and quality.

Design, develop, and maintain robust web applications using the MERN stack.Collaborate with cross-functional teams to define, design, and deliver new features.Optimize applications for maximum speed and scalability.Troubleshoot, debug, and enhance existing software systems.Lead code reviews and provide constructive feedback to team members.Stay updated with emerging technologies and industry trends to ensure applications remain current and competitive.Mentor junior developers and contribute to overall team development.Ensure the technical feasibility of UI/UX designs.

Education & experience
Bachelor's degree in Computer Science, Software Engineering, or a related field, with a minimum of 7 years of professional software development experience, specifically working with the MERN stack.
Core technical skills (JavaScript & MERN stack)
Strong proficiency in JavaScript, including DOM manipulation and JavaScript object models. Extensive hands-on experience with ReactJS, ExpressJS, NodeJS, and MongoDB.
API development & integration
Proven experience in designing and building RESTful APIs, as well as integrating third-party APIs into scalable applications.
Database expertise
Solid understanding of database design and management, with specific expertise in MongoDB.
Problem solving & quality focus
Strong problem-solving abilities with a keen attention to detail, ensuring high-quality and reliable software delivery

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Client engagement & solution design

Engage with clients to conceptualize and design data solutions, support sales teams with pre-sales activities and proof of concepts (POCs), and collaborate with executive, product, data, and design stakeholders to address data-related requirements and technical challenges.

Data engineering & platform development

Design, build, and maintain scalable data pipeline architectures and large, complex datasets that meet business requirements. Develop infrastructure for efficient data extraction, transformation, and loading (ETL/ELT) using technologies such as Microsoft, Azure, AWS, and GCP, while modernizing existing data environments and improving scalability.

Optimization, analytics & support

Identify and implement process improvements by automating manual workflows and optimizing data delivery. Build analytics tools to generate actionable insights on business performance, collaborate with data and analytics experts to enhance system functionality, and provide support to the support desk where applicable.

Experience & data engineering expertise Minimum of 3 years' experience in data engineering, with a proven ability to work with large-scale, complex, and disconnected datasets, extracting meaningful value through advanced data processing and manipulation techniques.

SQL, databases & data modeling Advanced SQL proficiency with strong experience in relational databases, query authoring, and familiarity with a variety of database technologies. Skilled in designing and working with robust data structures and data models.

Data pipelines & architecture development Experience building, optimizing, and maintaining scalable data pipelines and data architectures. Capable of designing end-to-end data solutions that support efficient ingestion, transformation, and delivery of data.

Data processing & workflow management Ability to build and maintain processes for data transformation, metadata management, dependency tracking, and workload orchestration to ensure reliable and efficient data operations.

Analytics & problem solving Strong analytical skills with experience working with unstructured datasets. Proven ability to perform root cause analysis on internal and external data and processes to answer business questions and identify improvement opportunities.

Collaboration & stakeholder engagement Experience working in cross-functional teams within dynamic environments, with strong communication and collaboration skills to support shared goals and data-driven decision-making.

Project management & delivery Strong organizational and project management skills, with the ability to manage priorities, deliverables, and timelines effectively while supporting multiple stakeholders and initiatives.

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Our client is seeking a hands-on GCP Architect to help accelerate customer onboarding into Google Cloud by designing, automating, and governing scalable cloud landing zones. The role sits between architecture, cloud engineering, networking, security, and automation, supporting public sector and enterprise clients adopting GCP.

This is not a pure architecture or advisory role. The successful candidate will be expected to combine strategic cloud design with hands-on implementation and automation.

Key Responsibilities

GCP Landing Zone Design & Deployment

Design and implement scalable GCP landing zones for enterprise and public sector customers.Build secure cloud foundations that support pilot, PoC, and production workloads.Ensure environments can scale without creating future technical debt.Develop reusable deployment patterns and templates.

Infrastructure Automation

Build and maintain Infrastructure as Code (IaC) solutions using Terraform.Extend and optimise Google Cloud Foundation Toolkit / Cloud Fabric templates.Create repeatable automation processes that reduce onboarding time for new customers.Drive continuous improvement of internal cloud deployment assets.

Networking & Security Architecture

Design GCP networking architectures including:Shared VPCsHybrid connectivityIPSEC VPNsCloud InterconnectIAM and identity integrationApply Zero Trust principles where appropriate.Advise on Security Command Center (SCC) Standard vs Premium implementations.Ensure cloud environments follow security and compliance best practices.

Multi-Cloud Integration

Design integrations between:GCPMicrosoft AzureOn-Premises InfrastructureSupport organisations operating hybrid and multi-cloud environments.Integrate Azure AD / Entra ID identity models with GCP.

Customer Advisory & Architecture

Engage directly with customers during onboarding and discovery workshops.Make architectural decisions and defend technical recommendations.Balance speed, security, scalability, and cost considerations.Support complex customer environments and cloud adoption journeys.

Typical Project Work

Enterprise GCP Adoption

Large enterprises launching multiple GCP pilots simultaneously.Greenfield landing zone creation.Hybrid cloud architecture design.

Public Sector Cloud Transformation

Government organisations moving into GCP for the first time.Secure cloud environments.Compliance-focused architectures.

AI & Data Platform Enablement

Building cloud foundations for:Vertex AIData AnalyticsBigQueryContact Centre AIVideo AnalyticsEnabling future AI and data workloads.

Storage & Data Modernisation

Migrating large-scale video and data repositories to GCP.Designing cost-effective storage architectures.Preparing environments for AI-driven analytics.

Required Technical Skills

Google Cloud Platform

Strong experience across:

Resource HierarchyOrganization PoliciesIAMShared VPCCloud DNSCloud NATCloud VPNCloud InterconnectSecurity Command CenterCloud Logging & Monitoring

Infrastructure as Code

Terraform (essential)Google Cloud Foundation ToolkitCloud Fabric FrameworkCI/CD automation

Networking

Enterprise networking principlesHybrid cloud networkingNetwork securityVPN architectureIdentity federation

Security

Zero Trust conceptsCloud security architectureIAM governanceSecurity posture managementRegulatory and compliance awareness

Multi-Cloud

Experience with:

AzureMicrosoft Entra ID / Azure ADHybrid cloud connectivityEnterprise identity management

Ideal Candidate Profile

Strong Fit

Senior GCP ArchitectCloud Infrastructure ArchitectGCP Network ArchitectCloud Security Architect with GCP expertise

Experience

Multiple GCP landing zone implementations.Experience supporting enterprise-scale cloud adoption.Strong Terraform and automation background.Comfortable working directly with customers.Able to make architectural decisions independently.

Nice to Have

Google Cloud Professional Cloud Architect Certification.Google Cloud Professional Network Engineer Certification.Experience supporting public sector clients.Knowledge of AI infrastructure and Vertex AI ecosystems.Exposure to Google Cloud Agentic AI and emerging AI networking/security capabilities.

Soft Skills

Strong consulting mindset.Ability to engage with technical and executive stakeholders.Comfortable operating independently.Excellent communication and documentation skills.Pragmatic problem solver.Focus on automation and efficiency.

Work Environment

Remote role.Primarily supporting US-based customers.Preference for US Citizens due to public sector engagements.Initial engagement expected to be 3-6 months with potential extension.Flexible workload depending on project demand and internal automation initiatives.

Summary

The ideal candidate is a hands-on GCP Architect who can design secure landing zones, automate deployments using Terraform, advise customers on networking and security decisions, and help build repeatable cloud onboarding capabilities that accelerate customer adoption of Google Cloud.

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About the Role

Our client is embarking on a strategic AI transformation across its retail operations, supply chain, and corporate functions. The business requires an experienced AI Solution Architect to lead the design, governance, and enterprise-wide deployment of AI capabilities - ensuring that tools are adopted responsibly, costs are controlled, and measurable value is delivered at scale.

This is a senior, hands-on role that sits at the intersection of enterprise architecture, AI engineering, and organisational change. The successful candidate will be the primary authority on how AI is built, governed, and consumed across the ecosystem - from Tier 1 stores through to group-level corporate and supply chain functions.

Key Responsibilities

AI Strategy & Architecture

Design and own the enterprise AI reference architecture, aligning with technology strategy and long-term digital roadmap.Evaluate and recommend AI platforms, foundation models, and vendor tools - balancing capability, cost, data sovereignty, and vendor lock-in risk.Define patterns for model deployment including cloud, on-premise, and edge scenarios relevant to retail environments.Lead proof-of-concept and pilot engagements, translating business problems into viable AI solution designs.

Governance & Best Practice

Establish and enforce an AI governance framework covering model risk, data privacy, bias, auditability, and compliance (POPIA, relevant SA and international standards).Define the AI operating model: tooling standards, development workflows, model lifecycle management, and responsible use policies.Create and maintain AI policy documentation, architecture decision records, and solution design templates.Serve as the internal AI ethics and assurance checkpoint for new use cases before production deployment.

Cost & Usage Management

Implement FinOps practices for AI workloads - API usage tracking, model inference cost optimisation, and budget governance across teams.Define token/compute budgets per business unit and establish showback/chargeback mechanisms where applicable.Identify opportunities to reduce cost through model selection, prompt engineering, caching, and RAG architectures versus full fine-tuning.Provide regular reporting on AI spend, utilisation, and ROI to senior stakeholders.

Implementation & Enablement

Lead cross-functional delivery teams in building AI-powered solutions across retail operations, supply chain, HR, and customer experience.Collaborate with data engineering and platform teams to ensure clean, governed data pipelines that underpin AI initiatives.Define integration patterns for AI capabilities within existing enterprise systems (ERP, WMS, CRM, e-commerce platforms).Drive internal capability uplift - mentoring engineers, running enablement sessions, and building an internal AI community of practice.

Required Skills & Experience

Technical

Deep expertise in AI/ML solution design including LLMs, GenAI, classical ML, and computer vision use cases.Hands-on experience with major AI platforms and tooling (Azure OpenAI, Claude, CoPilot, Hugging Face, Langchain/LlamaIndex).Proficiency in Python and at least one cloud-native AI/ML stack (MLflow, SageMaker, Azure ML, Vertex AI Pipelines).Strong understanding of RAG architectures, vector databases (Pinecone, Weaviate, PGVector), embedding strategies, and agentic frameworks.Experience with enterprise integration patterns (APIs, event streaming, microservices) and deploying AI within complex system landscapes.Familiarity with AI observability, model monitoring, and MLOps tooling.

Architecture & Governance

Proven track record designing AI solutions at enterprise scale, with responsibility for architecture governance and standards.Experience implementing AI governance frameworks, responsible AI policies, and risk controls in regulated or high-compliance environments.Familiarity with South African regulatory context (POPIA) and international AI risk frameworks (EU AI Act, NIST AI RMF) is advantageous.

Domain & Sector

Retail, FMCG, or supply chain experience strongly preferred - familiarity with store operations, demand forecasting, and last-mile logistics is a significant advantage.Experience deploying AI in organisations with distributed, franchise, or wholesale operating models is a differentiator.

Soft Skills & Leadership

Ability to engage credibly with both technical teams and executive stakeholders - translating between business value and technical complexity.Strong communication skills - able to produce clear architecture documentation, business cases, and executive briefings.Comfortable operating in ambiguity and shaping the role alongside business leadership.Collaborative, pragmatic approach - focused on delivering working solutions, not just architecture artefacts.

Qualifications

Degree in Computer Science, Information Systems, Engineering, or related field (or equivalent demonstrated experience).Relevant certifications advantageous: AWS/Azure/GCP AI or Solutions Architect certification; TOGAF or equivalent enterprise architecture qualification.10+ years of experience in solution architecture or data/AI engineering, with at least 3 years focused on AI/ML implementation.

Ideal Candidate Profile

The ideal candidate has moved beyond being a practitioner and is now shaping AI strategy for large organisations. They understand what it means to govern AI at scale - not just build it. They are commercially aware, can hold a conversation about cost optimisation in the morning and model architecture in the afternoon, and are equally comfortable in a boardroom and a technical design session.

Prior consulting or advisory exposure is an asset given the breadth of this role. Experience in South African enterprise environments - especially those with franchise, wholesale, or distributed store networks - will significantly reduce the ramp-up period.

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