Front-end Developer (react)

Network Recruitment

Johannesburg, Gauteng, south-africa

Key Responsibilities: Build high-performance web applications using React or Angular Develop Clean HTML5, and modern, responsive UI using CSS3 Integrate LLM-based features (Chatbots, summarization, document understanding, and AI-driven UI workflows) Work with AI / ML Engineering or back-end teams to consume (LLM APIs, REST and GraphQL) Implement intelligent user experience Transform wireframes into production-quality front-end experience Job Experience and Skills Required: 3-5 years' experience as a Front-End Developer Degree / Diploma in IT or similar Extensive experience in React or Angular Apply now! For more IT jobs, please visit /> I also specialise in recruiting in the following: Software Development Data Engineer Data Analyst Infrastructure Architecture ... and more! If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles / positions. For more information contact: Monica de Wet Senior Recruitment Consultant

9 days ago

Data Integration Specialist

The National Student Financial Aid Scheme(NSFAS)

Western Cape, south-africa

full-time

POSITION OVERVIEW: The incumbent will be responsible for the strategic planning, development, and implementation of techniques for merging data from various sources into a cohesive, understandable, and useful format. Ensure that data flows seamlessly between systems, maintaining data integrity and supporting the organisations objectives RESPONSIBILITIES: Data Integration/Quality and Architecture Develop and implement data integration solutions to ensure seamless flow of data between disparate systems, databases, and applications. Responsible for mapping data fields from source systems to target systems, transforming data as necessary to ensure compatibility and maintain data quality. Design build and manage ETL (Extract, Transform, Load) processes to efficiently transfer data between systems. Develop workflows, scripts or use ETL tools to automate data movements and transformations. Implement processing tools to ensure data quality and integrity throughout the integration process, including data cleansing, duplication, and validation. Continuously monitor and optimised data integration processes to improve efficiency, reliability, and performance, ensuring timely and accurate delivery of data to end-users Contribute to the development of strategies to improve data integration, analysis and reporting processed within across departments/stakeholders. Responsible for designing and implementing data architecture that supports efficient integration, transformation, and storage of data across various systems and platforms. Integrate various software systems, applications, and APIs to facilitate data exchange and interoperability across the organization. Reporting and Documentation Provide clear and concise reports to stakeholders, highlighting key findings and recommendations. Responsible for documenting integration processes, configurations and workflows as well as generating reports to track performance metrics, KPIs and compliance with SLAs. Participation in organizational AI efforts. Collaboration and Communication Collaborate with cross-functional teams to understand business requirements and ensure data integration solutions align with organizational goals. Communicate and collaborate with data analysts, developers, and business stakeholders to understand data requirements and ensure alignment with business objectives. Communicate findings and insights in a clear and understandable manner to stakeholders at various levels. Train end-users on basic functionality Continuous Improvement Stay abreast of industry trends and best practices in data integration processes and procedures. Identify opportunities for process improvements and automation to enhance efficiency. Risk and Compliance Ensure that data integration activities comply with data governance policies, privacy laws and security standards. Evaluate internal processes for efficiency, problems, and inaccuracies. Responsible for the handling, processing, and cleansing of data. Identify and resolve issues within the data integration processes and infrastructure. Monitor system performance, making adjustments as necessary to optimise operations. Support the implementation of identified key controls and established risk mitigation procedures. Work closely with IT and other relevant teams to address data quality issues. Assist with policies and procedures for the collection and analysis of data. DESIRED SKILLS AND EXPERIENCE Minimum requirements: NQF Level 7 in Computer science, Information Technology or related. 6 - 8 Years' experience in the ICT Domain of which at least 4 should be focused on Data. Knowledge of programming languages like SQL, Python, Java, or R is valuable for manipulating and transforming data, as well as for scripting ETL processes. A solid understanding of data management principles, including data governance, data quality, data modelling, and data architecture, is essential. This includes knowledge of relational databases, data warehouses, data lakes, and ETL (Extract, Transform, Load) processes. Experience with data warehousing concepts and technologies is important for designing, implementing, and maintaining data integration solutions. This includes knowledge of dimensional modelling, star and snowflake schemas, and OLAP (Online Analytical Processing) techniques. Understanding of data security principles and compliance regulations (such as GDPR, HIPAA, or CCPA) is crucial to ensure that data integration processes adhere to legal and regulatory requirements. Experience with project management methodologies and tools can be beneficial for planning, executing, and monitoring data integration projects, ensuring they are completed on time and within budget. Preferred NQF Level 8 in Computer science, Information Technology or related. Cloud Computing Certifications AWS Preferable/Cloud Computing Project management Skills Knowledge of the higher education sector Knowledge of SSSIS Knowledge of data warehousing Skills and Competencies Data Analysis Business Intelligence Data warehousing Data modelling Analytical skills Interpersonal skills Problem solving & decision-making skills. Report writing skills

9 days ago

Integration Engineer

Network Recruitment

Stellenbosch, Western Cape, south-africa

FULL_TIME

Key Responsibilities: Supporting and stage monitoring of Biller Integrations Participating in various IT integration functions Ad hoc report generation using SQL Monitoring transaction irregularities in the value chain from Retailer to Biller Consulting with clients to guide them through integration requirements and processes Providing technical support to client's post integration, including troubleshooting and issue resolution Ensuring seamless connectivity between systems and assisting clients through the integration process Understanding technical documentation and solution design to advise clients effectively Investigating application logs and conducting test transactions in live environments Collaborating with internal and external stakeholders to resolve integration-related issues Job Experience and Skills Required: Relevant tertiary IT qualification 3 years' experience in a similar role, including experience in SQL, IT systems monitoring, MS Office suite (specifically MS Excel), and customer support Experience in the Financial Services industry with a focus on the payments industry and the understanding of reconciliation and settlement processes will be beneficial Apply now! For more exciting IT vacancies, please visit: /> I also specialise in recruiting in the following: Software Developers Mobile Developers Business and Systems Analysts BI and SQL Experts Data & Analytics (Data Scientists, Data Analysts, Python, R, SQL, Machine Learning) AI & Automation (Artificial Intelligence, Machine Learning, Intelligent Automation, and Process Automation Solutions). If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles / positions. For more information, contact: Lameez Mohamed Specialist Recruitment Consultant Connect with me on LinkedIn!

10 days ago

Warehouse Technician

Network Recruitment

Johannesburg, Gauteng, south-africa

FULL_TIME

Join a technology-focused environment where you will play a critical role in managing stock, maintaining equipment, and supporting operational efficiency. This position combines warehouse operations with technical hardware responsibilities, making it ideal for someone who enjoys both hands-on technical work and inventory management. You will be responsible for receiving, inspecting, auditing, storing, packing, and dispatching stock while ensuring compliance with warehouse procedures and inventory controls. In addition, you will assist with the maintenance, repair, inspection, and replacement of equipment and assets to minimise downtime and support business operations. This role offers the opportunity to work within a collaborative team environment where accuracy, organisation, safety, and technical expertise are highly valued. Key Responsibilities: Receive, inspect, audit, and accurately record incoming stock Store, organise, and maintain inventory in accordance with company procedures Pick, pack, and dispatch orders while ensuring stock accuracy Conduct regular stock counts and inventory reconciliations Inspect, maintain, repair, and replace equipment and hardware assets Diagnose and resolve hardware-related issues where applicable Ensure warehouse housekeeping, safety, and quality standards are maintained Maintain accurate records of stock movements and asset allocations Work closely with internal teams to ensure efficient operational support Assist with inventory control, asset management, and warehouse optimisation initiatives Job Experience and Skills Required: Education: A+ and N+ Certification (or equivalent qualification) Computer Literacy essential Experience: Minimum 3 years' experience in technical hardware support and Microsoft software environments Experience within a warehouse, inventory, logistics, or technical support environment advantageous Linux exposure beneficial Relevant vocational training will be considered Technical Skills: Computer Hardware Diagnostics and Repairs Microsoft Operating Systems and Software Asset Management Inventory Control Warehouse Operations Stock Auditing and Reconciliation Equipment Maintenance and Troubleshooting Additional Requirements: Strong organisational and administrative skills Excellent attention to detail and accuracy Ability to follow procedures and maintain high-quality standards Strong communication and teamwork abilities Ability to work effectively under pressure and meet deadlines Strong problem-solving and troubleshooting capabilities Apply now! For more exciting IT vacancies, please visit: />I also specialise in recruiting in the following: Data Engineer Software Developer Data Analyst Infrastructure Architecture and more! If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles / positions. For more information, contact: Karmishka Naidoo Specialist Recruitment Consultant Connect with me on LinkedIn!

10 days ago

Junior Sql Database, Web Developer & Application Support Specialist

Network Recruitment

Johannesburg, Gauteng, south-africa

FULL_TIME

Join a technology-focused team where you will contribute to the ongoing development, maintenance, and support of database-driven web applications and operational systems. This role combines SQL development, web application development, troubleshooting, technical support, data management, and site implementation activities, offering excellent exposure across multiple technology disciplines. Working closely with Software Development, Site Support, business stakeholders, and operational teams, you will help ensure applications remain stable, secure, and aligned with business requirements. If you enjoy solving technical problems, working directly with users, and seeing the real-world impact of your work, this role offers excellent growth and development opportunities. Key Responsibilities: Develop, maintain, test, and troubleshoot web applications and browser-based user interfaces Design, develop, and maintain SQL Server database functionality to support business applications Create and troubleshoot SQL queries, stored procedures, views, functions, and database scripts Maintain and optimise databases to ensure performance, reliability, and security Perform integration testing and validate changes before deployment Execute and support data migrations during upgrades and new site implementations Manage database security, access control, backups, and maintenance activities Provide first-line application and technical support to users Investigate and resolve system, application, performance, and database-related issues Create custom reports and support business data requirements Assist with stock investigations, data analysis, and reconciliation activities Support new-site deployments and application rollouts Work directly with business users to gather requirements and implement system improvements Job Experience and Skills Required: Education: Matric (Grade 12) or equivalent qualification Experience: 3-5 years' experience in SQL development, database support, web development, application support, or a related role Experience developing and supporting database-driven web applications Experience working within operational or business-critical environments Technical Skills: Microsoft SQL Server T-SQL Development SQL Queries, Stored Procedures, Views, and Functions HTML, CSS, and JavaScript Web APIs and Server-Side Development Database Administration and Maintenance Database Security and Permissions Management Integration Testing and Data Migration Technical Documentation and Change Management Advantageous: Exposure to multi-site application environments Inventory, Warehousing, ERP, VMI/VMS, or Stock Management Systems Reporting and Business Intelligence Solutions API Integration and System Integrations Software Releases, System Upgrades, and Site Implementations Experience within Mining, Logistics, Warehousing, Industrial, or Operational environments Additional Requirements: Strong analytical and problem-solving skills Ability to troubleshoot logically and resolve issues independently Excellent communication skills with both technical and non-technical stakeholders Strong attention to detail and commitment to data accuracy Ability to work effectively in a fast-paced support environment Proven ability to manage priorities and meet deadlines Apply now! For more exciting IT vacancies, please visit: />I also specialise in recruiting in the following: Data Engineer Software Developer Data Analyst Infrastructure Architecture and more! If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles / positions. For more information, contact: Karmishka Naidoo Specialist Recruitment Consultant Connect with me on LinkedIn!

10 days ago

Data Scientist (fraud)

Moniepoint

Remote, south-africa

Full Time

Who we are Ranked in 2024 by the Financial Times, Moniepoint is Africa’s fastest-growing fintech, trusted by over 10 million business and individual accounts, processing billions of Naira in transactions monthly. Our mission is to enable financial happiness for every African, everywhere. About this role: We're looking for a Data Scientist to sit at the heart of how we fight fraud building the models, experiments, and detection systems that protect millions of customers and merchants across our platform. This is a high-impact role at the intersection of machine learning, product, and engineering, where your work will directly shape how Moniepoint detects and responds to emerging fraud threats. You are a data-driven, intellectually curious Data Scientist who is energized by hard problems in fraud and financial crime. You'll prototype and ship ML models, design experiments, and uncover new fraud signals across our ecosystem partnering closely with engineers, product managers, and analysts to turn your work into production-grade systems. Responsibilities: Prototype, evaluate, and help produce machine learning models for fraud detection; own their ongoing monitoring and retraining cycles. Design and run experiments to measure the impact of fraud interventions, balancing customer experience against loss reduction. Size fraud typologies across our product lines to inform prioritization and investment decisions. Build and maintain anomaly detection systems to surface novel fraud vectors before they scale. Work closely with fraud operations, engineers, product managers, and data analysts to translate model outputs into real-world mitigations. Experience & Background: A strong foundation in statistics with a degree in a quantitative field (Statistics, Mathematics, Engineering, Computer Science, or similar). 3+ years of experience in data science, decision science, or risk analytics within fraud, payments, or financial crime. Hands-on experience building and deploying machine learning models in a production environment. Fraud, risk, or financial services experience is a strong plus. Solid grounding in data science fundamentals: experimentation, statistical inference, model evaluation, and feature engineering. Comfort working in fast-paced, cross-functional teams with high ownership expectations. Skills & Competencies: Proficiency in Python and SQL; comfort working across the full model development lifecycle. An investigative instinct you enjoy digging into data to find patterns others miss. The ability to communicate technical findings clearly to non-technical stakeholders and translate insights into action. What Success Looks Like in This Role: Production-grade ML models and anomaly detection systems that effectively surface and mitigate novel fraud vectors before they scale. Well-designed experiments that successfully balance customer experience against fraud loss reduction. Clear sizing of fraud typologies that effectively drives product prioritization and strategic investment decisions. Seamless cross-functional alignment where technical model outputs are consistently translated into real-world fraud mitigations. Why Join Us? Culture: We put our people first and prioritize the well-being of every team member. We've built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human. Learning: We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks. Compensation: You'll receive an attractive salary, pension, health insurance, annual bonus, plus other benefits. Moniepoint is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates. Originally posted on Himalayas

10 days ago

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