Job Vacancies at Datafin Recruitment

ENVIRONMENT:

• A fast-growing FinTech company is looking to fill the role of a Data Engineer/Solutions Engineer with strong expertise in Google Cloud Platform (GCP) to join its team.
• You will design, build, and maintain scalable data pipelines and architectures that power the business. You’ll collaborate closely with Data Scientists and Analysts to ensure seamless data flow across the organisation, enabling smarter decisions and impactful solutions.
• You will require a Masters/Bachelor’s Degree in Computer Science/Data Science or similar field with 5+ years’ work experience in a similar role including skills in BigQuery, Python, SQL, GCP & ETL.
• The ideal candidate will be analytically sharp, self-motivated, and thrives in an unstructured environment. A genuine passion for African business is a must—along with a healthy sense of adventure and a good sense of humour to match a dynamic culture.

DUTIES:

• Design and build scalable data pipelines and architecture using GCP technologies such as Dataflow, BigQuery, Pub/Sub, and Cloud Storage.
• Develop and manage ETL processes to transform diverse data sources into clean, structured formats for analysis and reporting.
• Partner with Data Scientists and Analysts to understand their needs and deliver solutions that enable insights and decision-making.
• Create and maintain documentation for data pipelines, architecture, and data models to ensure clarity and consistency.
• Troubleshoot and resolve data-related issues quickly to minimise disruption.
• Continuously optimise data pipelines for performance, scalability, and cost efficiency.
• Automate workflows and processes through scripts and tools that streamline operations.
• Safeguard data quality and integrity across all sources, pipelines, and platforms.
• Stay ahead of the curve by keeping up with new GCP tools, best practices, and Data Engineering trends.

REQUIREMENTS:

Qualifications –

• Masters or Bachelor’s Degree in Computer Science, Data Science, or a related field.

Experience/Skills –

• 5+ Years’ experience as a Data Engineer or in a similar role.
• Strong programming skills in BigQuery, Python, SQL, and GCP.
• Proven expertise in ETL development and data modeling.
• Familiarity with data lakehouse concepts and techniques.
• Experience with Google Cloud Platform (GCP) technologies—especially BigQuery, with additional exposure to Dataflow, Pub/Sub, and Cloud Storage—considered highly beneficial.
• Background in financial services would be an added advantage.

ATTRIBUTES:

• Excellent problem-solving, analytical, and critical-thinking skills.
• Strong communication and collaboration abilities.

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ENVIRONMENT:

• THE expertise of a Data Scientist with experience in GCP (Google Cloud Platform) and its products like LookerStudio, Colab and BigQuery is sought by a fast-growing FinTech company. You will analyse complex data sets, create insightful visualizations, and work closely with stakeholders to develop solutions that support data-driven decision-making.
• You will be responsible for extracting insights, identifying trends, building predictive models and presenting findings to enhance operational efficiency and optimize business processes.
• Applicants must possess a Masters/Bachelor’s Degree in a suitable field with proven experience as a Data Scientist or in a similar analytical role, with demonstrated expertise in the credit industry.
• You also need to be proficient in Data Analysis tools such as GCP (Google Cloud Platform), Google BigQuery, SQL, Python, and data visualization tools like Google LookerStudio.
• The ideal candidate is analytically skilled, self-driven, adaptable to an unstructured management environment, and passionate about African business, with a sense of adventure and humor.

DUTIES:

Data Collection and Cleaning –

• Collect, extract, and compile data from various sources, ensuring accuracy and completeness.
• Clean, transform, and structure raw datasets for advanced analytics and predictive modeling.
• Identify and resolve data quality issues, inconsistencies, and anomalies.
• Utilize technologies such as SQL, Python, and BigQuery, while staying up-to-date with the latest trends and developments in Data analytics.

Data Analysis and Interpretation –

• Perform exploratory Data Analysis to identify trends, patterns, and relationships within the data.
• Apply statistical techniques, data visualization and predictive modeling to generate actionable insights.
• Translate business problems into rigorous analytical frameworks and model designs.
• Build and maintain multiple predictive models end-to-end, from feature engineering to deployment-ready solutions.
• Implement robust validation frameworks and monitor models for performance, stability, and drift.
• Collaborate with stakeholders to understand business requirements and translate them into analytical approaches.

​​​​​​​Reporting and Visualization –

• Create visualizations, dashboards, and reports using Google Looker to effectively communicate data insights to stakeholders.
• Develop and maintain standardized reporting templates and data visualization tools.
• Present findings in a clear and concise manner, tailoring the information to the needs of the audience.

​​​​​​​Data-driven Decision Making –

• Collaborate with cross-functional teams to support data-driven decision-making processes.
• Provide analytical support for business initiatives, including market analysis, customer segmentation, and performance tracking.
• Identify opportunities for process improvement, operational efficiency, and revenue optimization through Data Analysis.

​​​​​​​Data Governance and Security –

• Ensure compliance with data governance policies, data protection regulations, and security protocols.
• Adhere to data privacy and confidentiality standards when handling sensitive information.
• Contribute to the development and maintenance of data dictionaries and documentation.

​​​​​​​Continuous Learning and Development –

• Stay updated on industry trends, best practices, and emerging technologies in Data Analysis.
• Expand knowledge of statistical techniques, data modelling, and data visualization tools.
• Participate in training programs, workshops, and professional development opportunities.

REQUIREMENTS:

Qualifications –

• Masters or Bachelor's Degree in a relevant field (Mathematics, Statistics, Computer Science, Data Analytics/Science).

​​​​​​​Experience/Skills –

• Proven experience as a Data Scientist or in a similar analytical role, with demonstrated expertise in the credit industry.
• Proficiency in Data Analysis tools such as GCP (Google Cloud Platform), Google BigQuery, SQL, Python, and data visualization tools like Google LookerStudio.
• Ability to handle and analyse large datasets efficiently.
• Experience with statistical analysis techniques and data modeling.
• Proficiency in Microsoft Excel and other data manipulation tools.
• Familiarity with data governance principles and best practices.
• Knowledge of data privacy regulations and compliance standards is a plus.

ATTRIBUTES:

• Strong analytical and problem-solving skills with keen attention to detail.
• Excellent communication and presentation skills.

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ENVIRONMENT:

• BUILD and improve the software that powers products and operations across Africa of a fast-growing FinTech company as its next Full Stack Java Developer. You'll work across the full development lifecycle, partnering with your team to design, build and deliver reliable, scalable solutions that make life easier for clients and the people who serve them.
• You'll take ownership, solve real business problems and help the business continuously improve how they build software. The successful candidate will need a Computer Science/Information Technology/Engineer or related tertiary qualification with 8+ years’ experience designing, building and maintaining software applications, solid experience with Java or another JVM-based programming language & a strong understanding of relational databases, SQL and building data-driven applications.

DUTIES:

• Design, build and maintain reliable software that scales with the business as they grow.
• Build systems that are simple, secure and easy to maintain by writing clean code and choosing practical solutions over unnecessary complexity.
• Build observability into systems through logging, monitoring and tracing so issues can be identified and resolved quickly.
• Take ownership of changes from technical design through development, testing, QA handover and into production, helping deliver value to clients and frontline teams as quickly as possible.
• Use AI tools such as Gemini and Claude Code responsibly to improve productivity while maintaining full ownership of every technical decision and every line of code you commit.
• Work closely with Developers, Product teams and stakeholders to solve problems, improve products and deliver great outcomes.
• Contribute to the continuous improvement of Engineering practices, Development processes and Software Architecture.
• Share knowledge, support your teammates and help build a collaborative, high-performing culture.
• Question the way something has always been built. If there is a simpler or faster way to do it, raise it and make the case.

REQUIREMENTS:

Qualifications –

• Relevant tertiary qualification in Computer Science, Information Technology, Engineering or a related field.

Experience/Skills –

• 8+ Years' experience designing, building and maintaining software applications.
• Solid experience with Java or another JVM-based programming language.
• Strong understanding of relational databases, SQL and building data-driven applications.

ATTRIBUTES:

• Takes ownership, pays attention to detail and enjoys seeing work through to completion.
• Practical problem solver who can think logically and make good technical decisions.
• Able to work independently while collaborating closely with teammates to get the job done.
• Curious, adaptable and always looking for better ways to solve problems and improve how they work.
• A healthy spirit of adventure and sense of humour.
• Passionate about Africa and excited to contribute to building products that make life easy for clients.

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ENVIRONMENT:

• A leading Manufacturer seeks a detail-oriented and technically skilled Mechanical Draughtsperson to join its team. You will be responsible for translating engineering concepts and sketches into highly accurate manufacturing drawings using SolidWorks.
• In addition to drafting, this role requires handling costing and quotations for new and existing projects, ensuring designs are aligned with project budgets and manufacturing capabilities.
• The successful candidate must possess a SolidWorks Certification with 2-5 years’ work experience in mechanical drafting and estimating experience within a manufacturing or fabrication environment.
• You will also require a solid understanding of manufacturing processes (e.g., sheet metal, machining, or steel fabrication), standard drafting principles, and basic material costing.

REQUIREMENTS:

Qualifications –

• Essential SolidWorks Certificate(s).

Experience/Skills –

• 2 to 5 Years of mechanical drafting and estimating experience within a manufacturing or fabrication environment.
• A solid understanding of manufacturing processes (e.g., sheet metal, machining, or steel fabrication), standard drafting principles, and basic material costing.
• Exceptional attention to detail and strong commercial acumen for pricing.
• Valid driver’s license.

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ENVIRONMENT:

• A global & cutting-edge Biotech company seeks the technical expertise of an ERP Enterprise Solution Engineer who own its ERP architecture, technical design, live/test environments, SQL Server and application health, integrations, security, releases, monitoring, backup and recovery readiness, and technical delivery of new modules, fixes and rollouts.
• This role is responsible for understanding business needs, aligning technology solutions, and ensuring the successful stabilization, optimization, and utilization of ERP, MES and other related systems to support the achievement of strategic goals, including planning and executing new phased rollouts of modules, integrations, sites and entities.
• You will serve as a key advocate for leveraging technology to enhance operational efficiency and drive business outcomes. The successful incumbent should possess a Degree or Diploma in IT/Systems, or equivalent qualification from a recognized tertiary institution in Information Technology with 7+ years proven experience in a similar role, preferably with a focus on ERP systems including hands-on experience implementing, administering and supporting Epicor Kinetic is required or strongly preferred.
• You will also need SQL Server administration, including backups, recovery and maintenance, REST and OData integration and API troubleshooting & BAQ, dashboard and SSRS Report Development experience.

DUTIES:

ERP Architecture and Technical Ownership –

• Own the global Epicor Kinetic architecture, technical roadmap and solution standards, ensuring new modules, fixes and enhancements align with approved business rules, processes, security and CSV controls.
• Translate approved requirements into system configuration, technical specifications, integrations and controlled development using appropriate Epicor capabilities.
• Provide technical leadership to the ERP Application Engineer and act as the final internal escalation point for complex ERP issues.

Platform, Server and Environment Management –

• Administer various environments, SQL Server, application services, scheduled processes, monitoring, patches, upgrades and deployment registers.
• Maintain system availability and recoverability through backup/restore verification, recovery planning, performance monitoring and coordinated infrastructure remediation.
• Liaise with Solution Architects to align enterprise system architecture with broader enterprise architecture principles.

Integration, Security and Controlled Change –

• Design, operate and troubleshoot ERP integrations, APIs and interfaces with finance, banking, tax, shipping, CRM, data and manufacturing systems.
• Administer privileged ERP security, service accounts, credentials and technical access controls, and maintain controlled release, change and rollback procedures.

ERP Platform and Environment Lifecycle Management –

• Administer the Epicor Kinetic environment estate, including LIVE, TEST and DEV environment management and refreshes, backup and restore verification, and version and patch management aligned to tested baselines.
• Maintain deployment registers for customizations, BPM directives, Epicor Functions and configuration changes, and monitor scheduled processes and system agent health.
• Operate monitoring and alerting for applications, databases, print and integration services.

Data, MDM, Reporting and BI Collaboration –

• Support the Master Data Management team with ERP data models, DMT-related technical guidance, migration dependencies, troubleshooting and validation; MDM retains responsibility for preparing and executing master data uploads.
• Support Data Architects and BI report writers with ERP source definitions, data lineage, extracts, BAQs/SSRS, integration dependencies and ERP-side troubleshooting.
• Own technical configuration and controlled deployment of ERP reports, labels, CofA outputs and print-routing components where these reside within the ERP platform.

Incident, Rollout and Compliance Management –

• Lead L2/L3 technical incident and problem resolution, root-cause analysis, vendor escalation and permanent corrective actions.
• Lead technical release, cutover, recovery and hypercare activities for new modules, integrations, sites and entities.
• Ensure technical changes protect traceability, label/CofA integrity, financial posting integrity and regulated-system compliance.

Project Management and Plan of Record –

• Develop comprehensive project plans, timelines, and milestones for system initiatives, and maintain a single integrated plan of record with a RAID log, decision log and steering reporting cadence.
• Ensure every task, decision and risk has a named owner and keep all planning documents coherent with the plan of record.

Regulated Systems Compliance –

• Maintain CSV validation evidence and change control for configurations, customizations and lot mask changes.
• Safeguard traceability, label and CofA integrity, and financial posting integrity in system design and operation.

REQUIREMENTS:

Qualifications –

• A Degree or Diploma in Information Technology/Systems, or equivalent qualification from a recognized tertiary institution in Information Technology.

Experience/Skills –

• 7+ Years proven experience in a similar role, preferably with a focus on ERP systems.
• Hands on experience implementing, administering and supporting Epicor Kinetic is required or strongly preferred.
• Strong familiarity with various business processes across different departments, such as Finance, Supply Chain, Manufacturing, and HR, is crucial. This helps in translating business requirements into effective technology solutions.
• Proficiency in defining data mapping, transformation, and conversion processes to ensure seamless data flow between systems.
• Experience with data manipulation tools and techniques is essential.
• Demonstrated experience with designing, implementing, and managing integrations between ERP systems and other applications using middleware solutions
• Proven track record in managing projects, especially those related to ERP implementation, upgrades, or integration initiatives.
• Skills in defining project scopes, timelines, resource allocation, and risk management are important.
• Experience in Change Management strategies, including user training and adoption planning, to ensure smooth transitions during ERP implementations and updates.
• Experience in working collaboratively with external partners, third party vendors, and consultants to facilitate successful system integrations.
• Experience in regulated manufacturing environments (ISO13485, GMP or CSV governed), including validation evidence, change control, traceability, label and CofA integrity, and audit support.
• Experience supporting multi-site, multi-company ERP operations with intercompany transactions across time zones.
• Working knowledge of posting rules, month end close support, bank and tax integrations, and reconciliation controls.
• SQL Server administration (backups, recovery models, maintenance) and REST or OData integration experience.

The Candidate must demonstrate the following skills & attributes: Strong understanding of –

• Business processes and operations
• Enterprise Architecture principles, including integration patterns and best practices
• Analytical and problem-solving skills
• Excellent organizational skills and outstanding attention to detail
• Effective written, verbal and presentation and listening communications skills
• Strong teamwork and collaboration skills
• SQL Server administration, including backups, recovery and maintenance
• REST and OData integration and API troubleshooting
• BAQ, dashboard and SSRS Report Development
• Data Analysis and reconciliation
• Stress and Time Management
• Honest and trustworthy
• Possess cultural awareness and sensitivity
• Flexible and able to work long hours

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ENVIRONMENT:

• SEEKING a career in data? Then a provider of tailored Financial Solutions has a sterling growth opportunity for an ambitious Data & AI Engineer Intern to join a structured, mentored pathway across its Data & AI team: Data Engineering first, with applied AI alongside it and exposure to the analytics stream.
• You will do real, supervised work on a governed production estate, covering data preparation, pipeline support, reporting, quality checks, AI-workload data preparation, and documentation, all under a defined training plan with measurable milestones.
• Applicants will require a basic understanding of SQL and relational data concepts; foundational exposure to Python or another programming language (coursework or projects count) and must be comfortable with spreadsheets, data structures, and basic analytical thinking. You also need to be aware that data is sensitive and that confidentiality is non-negotiable.

DUTIES:

• Assist with data extraction, cleaning, validation, and preparation for analytics and reporting use cases.
• Write and support SQL queries, Python scripts, and repeatable data processing tasks under supervision.
• Help build and maintain dashboards and reports in Power BI and SSRS.
• Support monitoring of scheduled data jobs: spot failures, gather the facts, and log them properly.
• Participate in data quality checks, reconciliations, and issue logging, learning why trust in data matters.
• Contribute to documentation: source-to-target mappings, process notes, data dictionaries, and testing evidence.
• Learn the company’s governance, security, privacy, and change management standards from day one.
• Attend team ceremonies and give clear, honest progress updates on assigned tasks.

What you’ll work with –

• SQL Server and Microsoft Fabric, the governed data estate you will learn on.
• Power BI and SSRS, which make up the reporting layer.
• Python and Git, giving you modern engineering habits from the start.
• Medallion architecture, which is how raw data becomes trusted, reportable data.
• A governed in-house AI platform, where you will learn to use AI tools properly, with controls, from week one.
• Evaluation and human-review workflows, which are how we decide whether an AI output is good enough to use and how that decision is evidenced.

REQUIREMENTS:

• Basic understanding of SQL and relational data concepts.
• Foundational exposure to Python or another programming language (coursework or projects count).
• Comfort with spreadsheets, data structures, and basic analytical thinking.
• Attention to detail and willingness to document work clearly.
• Good written and verbal communication, and genuine appetite to learn.
• Awareness that data is sensitive and that confidentiality is non-negotiable.

Advantageous –

• Qualification in progress or recently completed in Data Science, Computer Science, Information Systems, Statistics, Mathematics, Engineering, or related.
• Any exposure to BI tools, cloud platforms, Git, notebooks, or ETL concepts.
• Portfolio, coursework, hackathon, or capstone evidence of data problem-solving. Show anything you have built.
• Curiosity about how a regulated financial-services business actually runs on data.

ATTRIBUTES:

• You learn fast and enjoy it, because new tools and feedback energise you rather than intimidate you.
• You verify before you trust, and that includes AI output above all.
• You are curious about how businesses actually run on data.
• You check your work and ask when unsure, with no silent guessing.
• You take small tasks seriously and build trust through follow-through.
• You want a career in data, not just a gap-filler job.
• Integrity and values, with the ability to handle sensitive and confidential information.
• Attention to detail and a results-driven quality mindset.
• Strong problem-solving; composure in a fast-moving, dynamic environment.
• Works well in a team and independently; communicates openly.
• Growth mindset, actively wanting to learn and develop.

go to method of application »

ENVIRONMENT:

• A provider of innovative Digital Solutions is looking for an Intermediate Project Manager  who independently manages medium-sized software implementation projects across the full project lifecycle, ensuring successful delivery within approved scope, schedule, budget and quality standards.
• The role is accountable for project planning, stakeholder engagement, financial tracking, governance, risk management and successful implementation outcomes.
• The Intermediate Project Manager coordinates multidisciplinary delivery teams while maintaining strong client relationships and supporting the commercial objectives of the company.
• Success in this role is measured through consistent project delivery, stakeholder satisfaction, governance compliance, financial control and achievement of the Implementation & Delivery departmental KPIs

DUTIES:

• Manage assigned implementation projects from initiation through project closure.
• Develop and maintain detailed project plans, schedules and delivery milestones.
• Coordinate project activities across Business Analysis, Development, Quality Assurance, Implementation Consulting and Customer Support teams.
• Monitor project progress and ensure deliverables remain aligned with approved scope and timelines.
• Manage project dependencies and coordinate project activities across multiple workstreams.
• Deliver projects according to the company’s project management methodology.
• Prepare project plans, budgets and resource forecasts.
• Monitor project expenditure against approved budgets.
• Track project profitability and escalate commercial risks promptly.
• Maintain accurate project forecasts throughout the delivery lifecycle.
• Ensure project timesheets are submitted accurately and on time.
• Support project invoicing through accurate reporting and milestone validation.
• Serve as the primary contact for assigned client projects.
• Build effective relationships with client stakeholders.
• Facilitate project meetings, workshops and governance sessions.
• Provide accurate project status reports and executive summaries.
• Manage stakeholder expectations throughout project delivery.
• Escalate issues requiring senior intervention appropriately.
• Maintain complete project documentation throughout the project lifecycle.
• Manage project risks, issues, assumptions and dependencies.
• Ensure all project changes follow approved governance processes.
• Maintain project audit trails and document version control.
• Ensure contractual deliverables remain aligned with Statements of Work and project agreements.
• Support compliance with organisational policies and applicable legislation.
• Monitor project quality throughout delivery.
• Coordinate testing, user acceptance activities and deployment readiness.
• Support successful user adoption through effective project planning.
• Coordinate implementation training activities with delivery teams.
• Monitor project performance and implement corrective actions where required.
• Participate in project retrospectives and continuous improvement activities.
• Coordinate multidisciplinary project teams.
• Support Junior Project Managers and Project Administrators where required.
• Collaborate closely with Implementation Consultants, Business Analysts, Engineering, Product and Customer Support teams.
• Promote effective communication across all project stakeholders.
• Support knowledge sharing across the Project Management practice.
• Identify opportunities to improve project delivery processes.
• Contribute to improvements in project methodology, governance and reporting.
• Promote standardisation of project documentation and delivery practices.
• Support AI-enabled project planning, reporting and delivery tools.
• Contribute lessons learned to the departmental knowledge repository.

REQUIREMENTS:

• Bachelor's Degree in Project Management, Business Management, Information Systems, Computer Science or a related discipline.
• PRINCE2 Foundation or Practitioner, PMP or CAPM certification, Agile Project Management or Scrum certification or Microsoft Project certification preferred.
• Minimum 3 to 5 years' experience managing software implementation or ICT projects.
• Demonstrated experience managing projects independently across the complete project lifecycle.
• Experience managing project budgets, schedules, risks and stakeholders.
• Experience working with multidisciplinary technical teams.
• Experience preparing project governance documentation and executive reporting.
• Strong understanding of project management methodologies including Agile, Waterfall and Hybrid delivery.
• Excellent organisational, planning and stakeholder management skills.
• Strong written and verbal communication skills.
• Proficiency in Microsoft Project, Azure DevOps, Jira or similar project management platforms.
• Experience working within public-sector or enterprise software implementation environments is advantageous.

Technical:

• Project lifecycle management
• Project planning and scheduling
• Budget and cost management
• Risk, issue and change management
• Agile, Waterfall and Hybrid methodologies
• Project governance and reporting
• Resource coordination
• Client relationship management
• Microsoft Project, Azure DevOps, Jira or equivalent
• Microsoft 365 and Power BI reporting
• AI-assisted project planning and reporting
• Software implementation lifecycle

ATTRIBUTES:

• Accountability
• Communication
• Collaboration
• Stakeholder management
• Problem solving
• Time management
• Commercial awareness
• Adaptability
• Decision making
• Attention to detail
• Continuous improvement mindset
• Customer focus

go to method of application »

ENVIRONMENT:

• JOIN an applied-AI work on a structured, mentored pathway, rotating through the data engineering that feeds it as the next AI Engineer wanted by a provider of tailored Financial Solutions.
• You will prepare trusted data for AI workloads, help run an in-house governed AI platform, and test AI-assisted use cases under supervision and strictly inside policy.
• This is an engineering-and-governance internship, not a research post, and you will not be training bespoke models. What you will learn is how AI gets used safely and usefully on real, sensitive data in a regulated business.
• Interns who grow well here are first in line as the team expands, and the combined Data & AI Engineer role is the named destination on the team's growth path.
• Candidates will require foundational Python, whether from coursework, projects, or self-teaching, but you must be able to read, run, and modify a script & a basic understanding of SQL and relational data concepts.

DUTIES:

• Prepare, clean, validate, and document the datasets that AI and search workloads consume.
• Support the in-house governed AI platform: content ingestion, indexing, configuration, and routine health checks under supervision.
• Test and evaluate AI-assisted use cases such as summarisation, classification, search, extraction, and automation against defined success criteria.
• Write small Python scripts and notebooks to automate repetitive data preparation and evaluation tasks.
• Record evaluation evidence: what was tested, what the AI produced, what a human reviewer changed, and why.
• Apply data-minimisation and anonymisation rules without exception, which means no personal information, credentials, or production data goes into unapproved tools.
• Contribute to documentation: use-case write-ups, prompt and configuration notes, data dictionaries, and testing evidence.
• Learn the company governance, security, privacy, and change management standards from day one.
• Attend team ceremonies and give clear, honest progress updates on assigned tasks.

What you’ll work with –

• A governed in-house AI platform, where you will learn to use AI tools properly, with controls, from week one.
• Python, notebooks, and Git, giving you modern engineering habits from the start.
• SQL Server and Microsoft Fabric, the governed data estate that feeds every AI use case.
• Power BI, which is how results reach the business.
• Evaluation and human-review workflows, which are how we decide whether an AI output is good enough to use.

REQUIREMENTS:

• Foundational Python, whether from coursework, projects, or self-teaching, but you must be able to read, run, and modify a script.
• Basic understanding of SQL and relational data concepts.
• Practical curiosity about AI tools, paired with healthy scepticism about their output.
• Attention to detail and willingness to document work clearly.
• Good written and verbal communication, and genuine appetite to learn.
• Awareness that data is sensitive and that confidentiality is non-negotiable.

Advantageous –

• Qualification in progress or recently completed in Data Science, Computer Science, Information Systems, Statistics, Mathematics, Engineering, or related.
• Exposure to APIs, notebooks, retrieval / vector search concepts, or any LLM tooling.
• Any project where you used AI to solve a real problem, especially if you can explain where it got things wrong.
• Portfolio, coursework, hackathon, or capstone evidence of data or AI problem-solving. Show us anything you have built.
• Basic awareness of responsible-AI concerns: bias, hallucination, privacy, and traceability.

ATTRIBUTES:

• You verify before you trust, and that includes AI output above all.
• You learn fast and enjoy it, because new tools and feedback energise you rather than intimidate you.
• You can explain what a tool actually did, not just that it seemed to work.
• You check your work and ask when unsure, with no silent guessing.
• You want a career in data or AI, not just a gap-filler job.
• Integrity and values, with the ability to handle sensitive and confidential information.
• Attention to detail and a results-driven quality mindset.
• Strong problem-solving; composure in a fast-moving, dynamic environment.
• Works well in a team and independently; communicates openly.
• Growth mindset, actively wanting to learn and develop.

go to method of application »

ENVIRONMENT:

• A provider of tailored Financial Solutions seeks a Data & AI Engineer to build, maintain, and improve reliable pipelines and curated datasets that feed the company’s analytics, reporting, and AI workloads, and you will help run the governed in-house AI platform that sits on top of them.
• This is one combined role, not a Data Engineer with an AI paragraph bolted on. Data flows from SQL Server and Azure SQL sources into Fabric, through bronze, silver, and gold layers, and out to the semantic, reporting, and AI consumption layers the business depends on.
• Expect the work to sit at roughly two-thirds Data Engineering and one-third applied AI in the first year, shifting further towards AI as adoption grows.
• Both halves run inside the same established standards, which cover metadata-driven, incremental, idempotent ELT, source control, gated deployment, and human review of anything AI-generated. You will grow into full ownership of production data and AI assets end-to-end: build it, document it, support it.

DUTIES:

Data Engineering: Governed pipelines and the estate –

• Develop and maintain batch and incremental ELT pipelines that ingest, transform, and deliver trusted datasets across our SQL Server / Azure SQL / Microsoft Fabric estate.
• Write and optimise T-SQL transformation logic, stored procedures, views, and reconciliation queries, following our standards (CTEs over subqueries, idempotent and metadata-driven patterns).
• Build and maintain Fabric pipelines, Dataflow Gen2 flows, and Lakehouse / Warehouse data assets.
• Support data modelling: dimensional models, medallion (bronze / silver / gold) layer design, partitioning, and performance optimisation for analytics workloads.
• Operate the estate: orchestration, scheduling, monitoring, logging, alerting, and methodical incident resolution for data jobs and platform processes.
• Implement data validation, reconciliation, row-count and parity checks so reporting outputs can be trusted and prove it with evidence.

Applied AI: The governed AI platform –

• Build and maintain the curated, documented datasets, retrieval indexes, and interfaces that governed AI platform and AI-assisted use cases consume.
• Help run the in-house AI platform: content ingestion, indexing, configuration, access control, and routine health checks.
• Develop Python automation for AI workloads, covering data preparation, embedding and indexing jobs, evaluation harnesses, and approved API integrations.
• Build and evaluate AI use cases such as search, summarisation, classification, extraction, and workflow automation, measuring each against defined success criteria with human-review checkpoints built in.
• Enforce data minimisation and anonymisation on every AI path: no personal information, credentials, or production data into unapproved tools, and no uncontrolled egress of data.
• Record AI evaluation evidence, including what was tested, what the model produced, what a human reviewer changed, and why, so that AI-assisted output stays traceable and auditable.

​​​​​​​Shared: Governance, delivery, and documentation –

• Work the governed delivery flow: Git / Azure DevOps source control, feature branches, peer-reviewed pull requests, and gated environment promotion (Dev → UAT → production).
• Produce and maintain documentation: pipeline design notes, source-to-target mappings, runbooks, AI use-case and configuration notes, and support procedures.
• Collaborate with Analysts, the Head of Data & AI, and business stakeholders to translate requirements into governed, supportable data assets, without business logic drifting into unmanaged reports.

What you’ll work with –

• Azure SQL and on-premises SQL Server, which form the core transactional and reporting estate.
• The wider Fabric surface, including mirroring and CDC ingestion, deployment pipelines, and capacity management.
• Python for transformation, automation, and tooling; DAX exposure on the BI side.
• Azure DevOps for repos, boards, CI/CD pipelines, and gated deployments.
• Power BI and SSRS as the consumption layer you feed.
• The governed in-house AI platform, which covers agent tooling, retrieval and indexing, and the controls that make it safe to use on sensitive data. You will help run it, not just use it.
• AI-assisted engineering under policy, meaning sanitised inputs, human review of generated code, and traceable output. It is how the whole team works, and how you will work too.
• Evaluation and human-review workflows, which are how we decide whether an AI output is good enough to use and how that decision is evidenced.

REQUIREMENTS:

• Minimum 1-year hands-on experience in Data Engineering, ETL / ELT, analytics engineering, database development, applied AI, or a closely related production-oriented role.
• Solid SQL Server and T-SQL. You should be confident with joins, aggregations, CTEs, and multi-step transformation logic, and able to debug and reason about query performance.
• Demonstrable Microsoft Fabric experience. You have built, supported, or substantially prototyped at least one of the following: a Fabric pipeline, a Lakehouse or Warehouse solution, a Dataflow Gen2 flow, or a Fabric notebook. Work, internship, or serious project evidence all count.
• Understanding of data warehousing and pipeline design concepts (staging, incremental loads, dimensional modelling).
• Working Python. You can read, write, and modify scripts for data preparation, automation, and integration, because the AI half of the role runs on it.
• Practical, sceptical familiarity with modern AI tooling. You have used LLM or AI-assisted tools on real work and can explain where they got things wrong, not just that they were useful. No formal Machine-Learning or Data-Science background is required.
• Familiarity with source control (Git or similar) and structured, reviewed ways of releasing changes.
• Genuine care for data quality, security, least privilege, and confidentiality, including the discipline never to put sensitive data into an unapproved tool.

Advantageous –

• Python or PySpark depth for data transformation at scale.
• Dataflow Gen2, mirroring / CDC, and Fabric deployment pipelines.
• Power BI semantic model and DirectLake awareness; SSRS report development.
• Experience with APIs, file feeds, or enterprise source systems.
• Retrieval-augmented generation, vector or semantic search, and embedding concepts.
• Azure AI services, prompt and evaluation frameworks, agent tooling, or MLOps exposure.
• DP-700 (Fabric Data Engineer Associate) or another relevant Microsoft certification. These are valued rather than required and are achievable after appointment.
• Relevant qualification (Computer Science, Information Systems, Engineering, or related) or equivalent practical experience.
• Experience in a regulated financial-services or similarly controlled environment.

ATTRIBUTES:

• You want to learn, so you ask good questions, absorb feedback, and close the loop.
• You verify before you trust, and that includes AI output above all.
• You take ownership end-to-end: build it, document it, support it.
• You have a quality mindset, so you check your work and raise issues early rather than hoping.
• You are comfortable with sensitive data and disciplined governance; process is a feature to you, not friction.
• You keep composure in a delivery-focused environment and communicate honestly about progress and blockers.
• Integrity and values, with the ability to handle sensitive and confidential information.
• Attention to detail and a results-driven quality mindset.
• Strong problem-solving; composure in a fast-moving, dynamic environment.
• Works well in a team and independently; communicates openly.
• Growth mindset, actively wanting to learn and develop.

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ENVIRONMENT:

• ENSURE the smooth running of software and applications while you investigate, troubleshoot and resolve software issues as the next Software Support Analyst wanted by a fast-growing FinTech company.
• You'll work closely with Developers, Product teams and business users to understand problems, find the root cause and get them resolved. This is not an infrastructure or desktop support role.
• You'll work hands-on with applications, system data and technical teams rather than supporting hardware, networks or general IT infrastructure.
• Applicants will need at least 5+ years’ work experience in Software, Application or Production Support including hands-on experience investigating and resolving issues in business applications or software & using SQL to investigate application issues, validate data and troubleshoot problems.
• You will also require proficiency with monitoring or logging tools such as Elasticsearch/Kibana, or similar tools.

DUTIES:

• Provide first- and second-line support for software and business applications.
• Investigate, troubleshoot and resolve application and system issues within agreed service levels.
• Use SQL, system logs and monitoring tools to understand what is happening and identify the cause of issues.
• Perform root cause analysis and help prevent recurring problems.
• Log, manage and drive support requests through to resolution using the ticketing system.
• Accurately document issues, root causes and resolutions so others can learn from them.
• Work closely with Developers, Product teams and users to resolve issues quickly.
• Spot recurring problems and recommend simple, practical improvements.
• Keep stakeholders informed and explain technical problems in a clear, simple way.
• Stay curious and keep learning about our systems, tools and better ways of working.
• Help keep the Frontline teams running smoothly so they can make life easy for clients.
• Live the company values by taking ownership, working as one team and speaking up when something isn't working.

REQUIREMENTS:

• 5+ Years' experience in Software, Application or Production Support.
• Hands-on experience investigating and resolving issues in business applications or software.
• Hands-on experience using SQL to investigate application issues, validate data and troubleshoot problems.
• Experience using monitoring or logging tools such as Elasticsearch/Kibana, or similar tools.
• A good understanding of the Software Development Life Cycle (SDLC) and how software moves from development into production.
• Willing to be on standby approximately once every six weeks, or when needed, to help keep our systems running smoothly.

Advantageous –

• Experience with Jira or a similar ticketing system.

ATTRIBUTES:

• Strong problem-solving skills — you enjoy digging into problems, asking why and finding the root cause.
• Able to work independently while connecting with Developers, Product teams and users to get things done.
• A clear communicator who can explain technical issues simply and keep people informed until the problem is resolved.
• Highly organised, with strong attention to detail and pride in getting things right.
• Curious, willing to learn and comfortable questioning things when they don't make sense.
• Excited by the opportunity to build and support technology that makes life easy for people across Africa.

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ENVIRONMENT:

• Our client is  urgently seeking an experienced Oracle Fusion Technical Lead / Lead Consultant to join their team on a long-term contract.  The ideal candidate must have strong hands-on Oracle Fusion experience, with a proven technical background across Oracle Fusion SaaS/PaaS applications, reporting, integrations, customisation and technical solutions. 
• This is a technical leadership role requiring the ability to work closely with clients, business users and project teams to deliver effective Oracle Fusion solutions.

DUTIES:

• Provide technical leadership and guidance across Oracle Fusion SaaS/PaaS applications.
• Design, develop and support BI Publisher (BIP) reports, OTBI reports and dashboards.
• Work with Descriptive Flexfields (DFF) and Page Personalization.
• Develop and troubleshoot using SQL and PL/SQL, with knowledge of Oracle Fusion Finance and SCM tables.
• Develop and support integrations using Oracle Fusion REST APIs and SOAP Services.
• Use SoapUI for API testing and troubleshooting.
• Design, develop and support integrations using Oracle Integration Cloud (OIC).
• Work with OTBI, BICC, FRC and Smart View Reports.
• Analyse technical requirements and translate business needs into effective Oracle Fusion solutions.
• Collaborate with business users, developers, functional consultants and project teams.
• Provide technical guidance, troubleshooting and support throughout project delivery.
• Engage directly with clients and stakeholders to understand requirements and resolve technical challenges.

REQUIREMENTS:

• 10–15 years of relevant technical experience.
• Mandatory: Strong hands-on Oracle Fusion experience.
• Strong experience with Oracle Fusion SaaS/PaaS applications.

Hands-on experience with:

• BI Publisher (BIP)
• OTBI Reports & Dashboards
• DFF (Descriptive Flexfields)
• Page Personalization
• SQL / PL/SQL
• Oracle Fusion REST APIs
• SOAP Services
• SoapUI
• Oracle Integration Cloud (OIC)
• BICC
• FRC
• Smart View Reports

ATTRIBUTRS:

• Knowledge of Oracle Fusion Finance and SCM tables.
• Strong client-facing and stakeholder management skills.
• Excellent communication and collaboration abilities.
• Ability to work effectively with business users and technical/project teams.

Important:

• Oracle Fusion experience is mandatory for this position. Candidates without relevant Oracle Fusion experience will not be considered.

This is an urgent long-term contract opportunity, and candidates who are available to start at short notice are encouraged to apply

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ENVIRONMENT:

• A property management and development company is seeking an experienced Student Portfolio Asset Manager. The successful candidate will oversee multiple student accommodation properties, driving occupancy, revenue, operational performance and student satisfaction while strengthening university partnerships.
• The role requires a strong understanding of student housing, accreditation requirements and the operation of purpose-built student accommodation.

DUTIES:

Portfolio & Asset Performance

• Develop and implement strategies to maximise occupancy and revenue across the portfolio.
• Monitor and evaluate asset performance against established operational and financial KPIs.
• Identify opportunities to improve profitability, efficiency and the student experience.
• Drive long-term asset enhancement and value preservation initiatives.

Student Accommodation Operations

• Oversee the performance of residence management teams across the portfolio.
• Ensure high standards of student support, customer service and community engagement.
• Monitor occupancy trends, retention rates, leasing performance and resident satisfaction.
• Ensure student residences provide a safe, welcoming and conducive living environment.

University & Stakeholder Engagement

• Build and maintain relationships with universities, higher education institutions, NSFAS representatives and other strategic partners.
• Participate in accreditation processes and maintain compliance with relevant standards.
• Support partnerships that drive student placement and occupancy growth.

Compliance & Governance

• Ensure compliance with all student accommodation accreditation requirements.
• Monitor adherence to health and safety standards and operational policies.
• Manage risk across the portfolio and implement corrective actions where necessary.
• Ensure properties maintain all required certifications and statutory compliance.

Capital Planning & Improvements

• Develop and oversee annual maintenance and refurbishment plans.
• Manage improvement projects aimed at enhancing the student experience and asset performance.
• Monitor capital expenditure projects and budgets.
• Ensure facilities remain attractive, functional and competitive within the student accommodation market.

Financial Management

• Prepare and manage annual budgets and forecasts.
• Analyse monthly portfolio performance and recommend corrective actions where required.
• Monitor revenue, collections, operating costs and investment returns.
• Prepare reports and presentations for executive management.

REQUIREMENTS:

• Bachelor’s degree in Property Studies, Business Management, Real Estate or a related field.
• Minimum of 5 years’ experience in student accommodation.
• Strong budgeting, financial analysis and reporting capabilities.
• Experience working with universities and accreditation bodies; experience with UJ, Wits and NSFAS would be advantageous.

ATTRIBUTES:

• Strategic mindset with strong analytical and problem-solving skills.
• Excellent attention to detail.
• Professional approach.
• Computer literate with proficiency in Microsoft Office.
• Own reliable transportation.
• Proficient in English

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ENVIRONMENT:

• A Consulting and Technology Group is looking for experienced software engineers in C#, Java, Cloud and Data Engineering domains.  
• Are you a passionate technologist with interest in technical specialisation or team and people leadership?
• Do you value engineering excellence using cutting edge technologies?
• Do you want to grow your career through progressive projects at their clients, across all major industry segments?
• Are you an innovator who values a company with an employee value proposition at its heart?  
• Then they is 100% the place for you. Join them!

DUTIES:

• To design, architect and code software solutions that solve their client’s problems end-to-end.
• To collaborate with their clients and the group's multi skilled delivery teams, consisting of analysts, designers, product owners, architects, delivery managers and data scientists for optimal results.

REQUIREMENTS:

Minimum Qualifications:

• A tertiary degree with honours that provided you an opportunity to grow your problem-solving skills within a technology context. e.g. BBusSci, BCom (IS), BSc Eng., BEng or BSc.
• Candidates with alternative qualifications and deep experience will also be considered

Experience:

• 4-8 years software engineering experience within a consulting context
• 4-8 years specialist software development experience AND/OR 4 plus years team and people leadership experience

Job Objectives:

• Understand and apply technologies and patterns appropriately to software solutions
• Critical thinking as applied to the client problem and solution domains
• Design, architect and code solutions to meet business needs in the short, medium and longer term
• Elevate client environments through superior engineering ability
• Application of best coding, automation, testing and quality practices such that reliable, durable and performant solutions are produced
• Build real and meaningful relationships with client technology leaders
• Work with their clients to create innovative solutions to business problems
• Persuade and influence other team members to make good decisions
• Deliver on the end-to-end software solution such that value can be realised at the client
• Hold the company's technology brand high by role modelling behaviours in the broader team
• Mentor team members such that they contribute optimally to the overall project outcome

ATTRIBUTES:

• Proven technical skills
• Positive attitude
• Strong communication ability
• Effective time and task management
• Ability to learn new technologies and skills quickly
• Broad and deep technical experience
• Works well in diverse, multiskilled teams
• Strong focus on client, customer and user
• Values the importance of good design and engineering
• Big picture thinking as applied to solutions developed
• Clear and precise technical leadership and direction

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ENVIRONMENT:

• A detail-oriented and technically skilled Mechanical Draughtsperson is sought to join an established Engineering team within a leading organisation.
• You will be responsible for translating engineering concepts and sketches into highly accurate manufacturing drawings using SolidWorks.
• In addition to drafting, this role requires handling costing and quotations for new and existing projects, ensuring designs are aligned with project budgets and manufacturing capabilities.
• The successful candidate must possess a SolidWorks Certification with 2-5 years’ work experience in mechanical drafting and estimating experience within a manufacturing or fabrication environment.
• You will also require a solid understanding of manufacturing processes (e.g., sheet metal, machining, or steel fabrication), standard drafting principles, and basic material costing.

REQUIREMENTS:

Qualifications –

• Essential SolidWorks Certificate(s).

Experience/Skills –

• 2 to 5 Years of mechanical drafting and estimating experience within a manufacturing or fabrication environment.
• A solid understanding of manufacturing processes (e.g., sheet metal, machining, or steel fabrication), standard drafting principles, and basic material costing.
• Exceptional attention to detail and strong commercial acumen for pricing.
• Valid driver’s license.

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ENVIRONMENT:

• SUPPORT the Cybersecurity strategy of a dynamic Internet Service & Network Specialist seeking your technical expertise as a Cybersecurity Engineer where you will deploy and maintain security solutions, investigate security events, manage vulnerabilities, and ensure compliance with security standards and regulatory requirements.
• You will further be responsible for the implementation, operation, monitoring, and continuous improvement of Cybersecurity technologies and controls that safeguard the organization's information assets.
• The role focuses on securing network, endpoint, cloud, and application environments through effective threat detection, vulnerability management, incident response, and security engineering practices.
• Working closely with IT and business stakeholders, you will help ensure that security is embedded into operational processes and technology initiatives while supporting the organization's resilience against cyber threats.
• The successful candidate must have Matric/Grade 12, a Degree/Diploma in IT with 3-5 years' relevant work experience including hands-on experience administering and securing Microsoft Windows Server environments.
• Your tech tools should include Microsoft 365, Active Directory, Group Policy, DNS, DHCP, and Microsoft Entra ID (Azure AD).

DUTIES:

Security Engineering & Implementation –

• Deploy, configure, and maintain security technologies across network, endpoint, cloud, and application environments.
• Administer security tools such as Firewalls, IDS/IPS, EDR/XDR, SIEM, IAM, and DLP solutions.
• Perform system hardening in line with security standards and best practices.
• Ensure security controls remain operational, effective, and appropriately configured.

Security Monitoring & Threat Management –

• Monitor security environments for suspicious activity and potential threats.
• Analyse logs, alerts, and events using SIEM and other monitoring tools.

​​​​​​​Vulnerability & Risk Management –

• Conduct vulnerability scans and assessments.
• Assist with penetration testing activities and remediation planning.
• Track vulnerabilities through to closure.
• Support patch management and system remediation efforts.

​​​​​​​Incident Response & Recovery –

• Participate in incident investigation, containment, eradication, and recovery activities.
• Execute incident response procedures and playbooks.
• Assist in root cause analysis and post-incident reviews.
• Maintain incident documentation and evidence.

​​​​​​​Compliance & Governance –

• Support compliance initiatives relating to ISO 27001, NIST, CIS Controls, POPIA, and other applicable frameworks.
• Assist with audits and compliance assessments.
• Maintain security documentation, standards, procedures, and records.
• Monitor adherence to security policies and standards.

​​​​​​​Stakeholder Engagement –

• Work closely with IT Operations, Infrastructure, Cloud, and Application teams.
• Communicate technical findings and recommendations effectively.
• Provide security guidance and awareness support to internal stakeholders.
• Contribute to knowledge sharing and continuous improvement initiatives.

REQUIREMENTS:

Qualifications –

• Matric Grade 12 (Compulsory).
• Degree or Diploma in Information Technology.

​​​​​​​Experience/Skills –

• 3-5 Years' experience in IT Infrastructure, Systems Administration, or Cybersecurity.
• Hands-on experience administering and securing Microsoft Windows Server environments.
• Experience with Active Directory, Group Policy, DNS, DHCP, and Microsoft Entra ID (Azure AD).
• Experience with Microsoft 365 administration and security technologies.
• Exposure to security monitoring, incident response, and vulnerability management.
• Experience implementing and supporting security solutions such as firewalls, EDR/XDR, SIEM, and IAM.
• Working knowledge of Microsoft Azure and Cloud Security principles.
• Experience with system hardening, patch management, and security best practices.
• Exposure to security frameworks and compliance requirements such as ISO 27001, NIST, CIS Controls, and POPIA.
• Valid Driver’s License and willingness to travel to client sites or project locations as required.

Desired – Not Mandatory Certifications:

• Microsoft Certified: Security, Compliance, and Identity Fundamentals (SC-900)
• Microsoft Certified: Information Security Administrator Associate (SC 401)
• MCSE: Core Infrastructure/ MCSA Windows Server 2016
• Microsoft Certified: Windows Server Hybrid Administrator Associate
• Microsoft 365 Certified: Endpoint Administrator Associate
• Fortinet NSE4
• CC Cybersecurity
• CompTIA Security+
• CySA (CompTIA Cybersecurity Analyst)

ATTRIBUTES:

• Problem Solving & Critical Thinking.
• Team Collaboration.
• Communication & Reporting.
• Adaptability & Continuous Learning.
• Stakeholder Management.
• Project Coordination.
• Technical Documentation.
• Risk-Based Decision Making.