We help our customers to uncover and manage the valuable pieces of information, so that the people at every level in the organization can make decisions based on proven facts, rather than just gutfeel and emotion. We do this by using our extensive experience in the Business and Data fields, supported by leading software, methodologies and tools. We help y...
Job Description
- Our client in the banking industry is looking for a Senior Data Scientist to design, develop and optimise machine learning, AI and decisioning solutions that drive customer, risk and operational outcomes across Personal and Private Banking (PPB) and Digital channels.
Key Responsbilities
- Partner with PPB, Digital, Product and Risk teams to identify and prioritise high-value analytical opportunities.
- Design, develop, train and optimise machine learning models using Databricks, MLflow and distributed compute environments.
- Develop customer propensity, next best action, next best product, customer value, retention and engagement models.
- Develop risk, collections, fraud and operational models to improve business performance and decision quality.
- Build and maintain reusable feature pipelines using Databricks Feature Engineering and Delta tables.
- Define, create and govern reusable enterprise features for inclusion within the Databricks Enterprise Feature Store.
- Establish feature definitions, feature quality controls, lineage and monitoring standards across business domains.
- Perform feature engineering, feature selection and feature importance analysis to improve model performance and reuse.
- Develop optimisation and decisioning models that support customer engagement, product recommendation and operational decision strategies.
- Conduct exploratory data analysis, statistical analysis, hypothesis testing and model validation using Databricks notebooks and workflows.
- Perform model tuning, calibration, challenger model development and performance benchmarking.
- Monitor model performance, stability, drift and business outcomes and recommend improvements where required.
- Develop Generative AI use cases where appropriate, including customer support, document intelligence and knowledge-based assistants.
- Work closely with ML Engineers to productionise models and features into enterprise platforms and decisioning systems.
- Produce model documentation, validation reports and governance artefacts in line with model risk management requirements.
- Mentor junior Data Scientists and contribute to modelling standards, reusable frameworks and analytical best practices.
Core Deliverables
- Production-ready machine learning models supporting PPB and Digital use cases.
- Reusable business features deployed within the Databricks Enterprise Feature Store.
- Customer decisioning models supporting acquisition, retention, engagement and cross-sell strategies.
- Risk and operational models supporting improved decision quality and business performance.
- Feature libraries, model documentation and governance artefacts.
- Analytical insights and recommendations delivered to business stakeholders.
- Measurable business value from deployed machine learning and AI solutions.
Key Skills
- Databricks Notebooks, Workflows and MLflow
- Databricks Feature Engineering and Feature Store
- Python and SQL
- Machine Learning and Statistical Modelling
- Predictive and Prescriptive Analytics
- Customer Decisioning and Optimisation
- Feature Engineering
- Experimentation and Model Validation
- Generative AI and LLMs
- Data Visualisation and Storytelling
- Stakeholder Management
Qualifications
- Computer Science, Data Science, Engineering, Mathematical Statistics, Actuarial Science, Mathematics, Econometrics or a related quantitative field.
- Masters or Doctorate will be an added advantage.
Preferred Certifications
- Databricks Machine Learning Engineer Certification
- Databricks Data Engineer Certification
- Microsoft Azure AI Certifications
- SAS Data Scientist Certifications
- AWS or Google Cloud AI/ML Certifications
- Machine Learning, Artificial Intelligence or Data Science certifications from recognised providers such as Microsoft, Databricks, SAS, Coursera or DeepLearning.AI
Technical/Professional Knowledge
- Strong experience developing machine learning models on Databricks.
- Strong understanding of feature engineering, feature selection and feature optimisation techniques.
- Experience building and governing reusable enterprise features within Feature Stores.
- Experience using Databricks MLflow for model tracking, experimentation and model governance.
- Experience developing customer propensity, risk, fraud, retention and optimisation models.
- Strong knowledge of statistics, machine learning and decision science methodologies.
- Experience working with large-scale customer, behavioural, transactional and digital datasets.
- Experience designing model monitoring and performance measurement frameworks.
- Knowledge of Generative AI, prompt engineering and applied AI use cases.
- Ability to translate business problems into analytical solutions and measurable business outcomes.
- Strong stakeholder engagement, communication and business consulting skills.
- Experience delivering end-to-end data science use cases from concept through production deployment.
- Self-driven and able to operate effectively in a fast-paced, outcome-focused environment.
Deadline:2nd October,2026
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Job Description
- Our client in the banking industry is looking for a hands-on Data Engineer to develop, maintain and support data integration, ETL and data processing solutions.
- The ideal candidate will have strong practical experience in SQL, SSIS/ETL, batch processing and data warehousing, with the ability to investigate technical and data-quality issues and engage effectively with business and technical stakeholders. Successful candidates must be based in Gauteng.
Key Responsibilities
- Develop and support SQL and SSIS/ETL solutions from source extraction through transformation, validation and loading.
- Develop and maintain scheduled batch data-processing pipelines.
- Perform data cleansing, transformation, validation and source-to-target reconciliation.
- Investigate and resolve SQL, ETL, data-quality and batch-processing issues.
- Implement appropriate error handling, logging, monitoring and recovery processes.
- Work with business users, source-system owners, developers, DBAs and project managers to understand requirements and resolve data issues.
- Document source-to-target data mappings and communicate technical issues, risks and dependencies.
- Contribute to data architecture discussions and work effectively within an Agile environment.
Essential Requirements
- Strong practical SQL development experience, including complex queries, joins, CTEs, subqueries, stored procedures, functions, aggregations and window functions.
- Strong SSIS / ETL experience, including Control Flow, Data Flow, transformations, Lookups, error handling, logging and incremental/full data loads.
- Experience with batch processing and scheduled data pipelines, including job dependencies, file processing, failure recovery and large data volumes.
- Understanding of data warehousing and data integration concepts, including OLTP/OLAP, staging, data warehouses, data marts, source-to-target flows and multiple source systems.
- Strong problem-solving and analytical skills with the ability to independently investigate root causes.
- Experience working in an Agile environment (Scrum/Kanban).
- Strong communication skills and confidence engaging with clients, business users and technical teams.
Production Support Requirements
This role includes participation in a rotational production support schedule. The successful candidate must be willing and able to:
- Participate in an on-call roster every third week.
- Respond to after-hours callouts, including late-night and early-morning alerts.
- Support and troubleshoot issues affecting the nightly batch process to ensure successful completion.
- Work collaboratively with operations and infrastructure teams to resolve time-sensitive issues under pressure.
- Maintain support logs, escalate critical incidents and ensure accurate handovers.
- Support the availability and continuity of enterprise data services required by business users and systems.
Advantageous
- Control-M or another enterprise scheduling/orchestration tool.
- C# / SSIS Script Task experience.
- Database Administration.
- Cloud data platforms.
- Data quality/profiling.
- Performance tuning.
Key Competencies
- Analytical and logical thinking.
- Strong attention to detail.
- Good communication and documentation skills.
- Ability to work independently and collaboratively.
- Ability to manage competing priorities and deadlines.
- Strong understanding of data quality and integrity.
- Willingness to learn new technologies.
Ideal Candidate
- A practical Data Engineer who can take a data requirement, understand the source data, develop the SQL/ETL solution, implement validation and error handling, support batch processing, troubleshoot issues and communicate effectively with stakeholders.
Deadline:30th September,2026
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Job Description
- We are looking for an experienced Microsoft Fabric Specialist with strong hands-on experience in developing and supporting modern data solutions using Microsoft Fabric.
Responsibilities
- Design, develop and maintain Microsoft Fabric data solutions.
- Build data ingestion, transformation and integration pipelines.
- Work with OneLake, Lakehouse and Fabric Warehouse.
- Develop and optimise Data Pipelines and Dataflows Gen2.
- Use SQL and, where applicable, PySpark/Spark.
- Develop data models and support Power BI/semantic models.
- Monitor, troubleshoot and optimise data pipelines and workloads.
- Ensure data quality, performance and reliability.
- Translate business requirements into technical data solutions.
- Work with data, BI and business stakeholders.
Requirements
- 5+ years’ experience in Data Engineering, BI, Data Analytics or a related field.
- Strong hands-on Microsoft Fabric experience.
- Strong SQL skills.
- Experience with OneLake, Lakehouse and Fabric Warehouse.
- Experience with Fabric Data Pipelines and Dataflows Gen2.
- Strong understanding of data modelling, ETL/ELT and data warehousing.
- Power BI experience.
- Experience with Azure/cloud data platforms.
- Ability to work independently and engage with stakeholders.
Certification – Essential
- Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
Advantageous
- DP-203 Azure Data Engineer certification.
- PySpark/Spark.
- Azure Data Factory, ADLS or Synapse.
- Data governance and security.
- CI/CD and DevOps experience.
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Job Purpose:
- To design, code, test, debug, and maintain programs in development environments. Apply agreed standards and tools, to achieve a well-engineers result. Work within a strict framework of programming standards under supervision of senior technical resources.
Essential Functions:
- Prepare test cases for unit testing purposes, conduct unit testing and deploy code build in testing environment to ensure that errors are detected and resolved within service level timelines, by conducting quality assurance reviews to ensure the quality of engineering and drive delivery.
- Produce specifications for systems functions, information flows, data loads, implementation strategy, phasing of development, requirements not met and alternatives considered.
- Provide support and production standby post go live adhering to release methodology and technical change management procedures for all changes by providing quick response for problem and blockers.
- Scope plan, design and review end to end solutions against standards, methods and procedures, proposing enhancements and revisions as part of the broader Software Engineering community, to ensure alignment to the strategic objective priorities.
- Strive to reach mature levels on the continuum model by building own and team competence to work in a continuous delivery environment. Research and stay abreast of new development methodologies and contribute to maturing on the Continuum model.
- Coach or mentor junior Engineers on technical aspects of application development, controls, and documentation standards as well as on engaging effectively with relevant stakeholders.
- Develop fully functional applications across all platforms that are in line with current technologies and standards and publish them to the relevant platform to enhance the functioning and experience of employees.
Work Experience:
- 5-7 years - Broad experience in translating business and functional requirements into technical specifications and developing the programming code to create the solutions.
- 8-10 years - Proven experience in modern engineering practices i.e. dev ops, agile etc., Proven experience across multiple, broad IT Engineering disciplines, with demonstrated specialisation in at least one. Experience within the required scope of expertise.
Technical Competencies
- Software Foundations
- Reliability and Resilience
- Security Engineering
- Automation
- Agile Engineering
- System Integration
- Microservices
- API Engineering
- Platform Engineering
- Cloud Computing (AWS / Azure)
- Data Engineering
- Core Systems
- Software Engineering Methods
- Software Engineering Tools
- Design Thinking
- Threat Modelling
- Non-abstract Large System Design (NALSD)
- Test-driven Design (TDD)
- Continuous Integration (CI)
- Continuous Delivery (CD)
- Continuous Deployment
- Infrastructure as Code (IaC)
- Policy as Code
- Error Budgets
- Observability (Application and Web Analytics)
- Incident Response
- Post-incidence Analysis
- Service Level Management
Deadline:30th September,2026
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Job Description
- Our client, a leading South African banking group, is looking for an experienced Senior Data Analyst to support a range of data initiatives within its banking environment.
- The role will focus on data analysis, requirements, data quality, ETL, SQL, data mapping, testing, reconciliation and production data support across enterprise data platforms.
- The successful candidate will work with business and technical stakeholders to analyse data requirements, investigate data issues, define data and transformation rules, support development and testing activities, and ensure data outputs are accurate, traceable and fit for purpose.
- Experience within AML, compliance, regulatory or financial services data environments would be highly advantageous, with exposure to NICE Actimize and AML data platforms an added advantage.
Key Responsibilities:
- Analyse business and data requirements and translate them into functional specifications.
- Perform data profiling, impact assessments and gap analysis.
- Develop source-to-target mappings and transformation rules.
- Analyse data models, ETL processes, interfaces and downstream data consumers.
- Use SQL and SSIS/ETL to investigate and validate data.
- Define data quality, reconciliation and business rules.
- Support SIT, UAT, regression testing, production validation and BAU data support.
- Investigate data issues, failed loads and reporting discrepancies.
- Perform root-cause and impact analysis.
- Support data governance, metadata, lineage and data catalogue activities.
- Work with stakeholders to validate requirements and obtain sign-off.
- Support data projects, enhancements and continuous improvement initiatives.
Key Skills:
- Data Analysis | Data Business Analysis | SQL | SSIS | ETL | Data Quality | Data Profiling | Source-to-Target Mapping | Data Lineage | Data Governance | Reconciliation | SIT | UAT | Production Support | Root-Cause Analysis | Data Warehousing | Microsoft Purview | AML | Compliance Data | NICE Actimize | Stakeholder Management
Deadline:30th September,2026
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Job Description
- Our client in the banking industry is looking for Senior Software Engineers to join their team!!
List of Deliverables:
Cloud Engineering (AWS)
- Design, deploy, and support cloud-native applications using AWS services such as EC2, Lambda, API Gateway, S3, RDS, IAM, and CloudWatch, with a focus on scalability, security, and performance.
Backend Development (.NET/C#)
- Build and maintain enterprise-grade applications, REST APIs, and microservices using C#, .NET Core, and ASP.NET Core, applying modern software design patterns and secure coding practices.
Frontend Development (Angular)
- Develop responsive, user-friendly web applications using Angular, TypeScript, RxJS, routing, state management, forms, and component-based architecture.
DevOps & Automation
- Implement CI/CD pipelines, Infrastructure-as-Code (Terraform/CloudFormation), containerization (Docker/Kubernetes), automated testing, and deployment monitoring.
Solution Design & Full-Stack Engineering
- Design end-to-end solutions covering databases, APIs, microservices, security, performance optimization, system integration, and Agile delivery practices
Deadline:7th October,2026
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Job Description
- Our client in the banking industry is Quality Engineers to join their team!!
List of Deliverables:
- Cloud Testing & Validation
- API and Microservices Testing
- CI/CD and DevOps Quality Practices
- Performance, Security, and End-to-End Functional Testing
- Test Automation will be a value add (UI, API, Regression)
Deadline:2nd October,2026
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Job Description
- We are looking for an experienced Data Engineer with strong SQL, SSIS and ETL expertise to join a Compliance Technology environment within a leading financial services organisation.
Key Responsible:
- Develop and enhance SQL scripts, queries and database logic to support business requirements.
- Develop, modify and maintain SSIS packages and ETL workflows.
- Perform data integration across multiple source systems.
- Optimise SQL queries, ETL processes and database performance.
- Support data modelling, schema enhancements and data transformation.
- Develop and enhance operational reports and dashboards.
- Perform data validation, reconciliation and data quality checks.
- Investigate and resolve data, ETL and production issues.
- Perform root-cause analysis and implement corrective actions.
- Monitor and support batch processes and scheduled jobs.
- Support SIT/UAT, deployments and production releases.
- Assist with data remediation, governance and compliance-related initiatives.
- Contribute to continuous improvement, process automation and optimisation.
Key Requirements:
- 5+ years' experience in Data Engineering / ETL / SQL development.
- Strong hands-on experience with SQL and Microsoft SQL Server.
- Strong SSIS development experience.
- Solid understanding of ETL/ELT processes and data integration.
- Experience with database performance tuning and query optimisation.
- Experience with data warehousing and data modelling.
- Experience troubleshooting production data and ETL issues.
- Experience working with SIT/UAT and production deployments.
- Strong understanding of data quality, validation and reconciliation.
- Excellent analytical and problem-solving skills.
Advantageous:
- Experience within banking or financial services.
- Experience with AML / Compliance data platforms.
- Exposure to NICE Actimize.
- Experience with Azure Data Factory (ADF).
- Experience with Microsoft Purview and data governance.
- Exposure to regulatory reporting and data remediation.
- Experience with DevOps and CI/CD processes.
Deadline:7th October,2026
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Job Description
- Our client, a leading financial services organisation, is looking for an experienced Senior Programme Manager / Digital Delivery Lead to support a large-scale digital transformation programme.
- The successful candidate will be responsible for coordinating multiple concurrent Agile workstreams, ensuring delivery remains aligned to business priorities, timelines and expected outcomes.
Key Responsibilities
- Lead and coordinate delivery across multiple digital workstreams.
- Translate programme priorities into structured and executable delivery plans.
- Manage programme milestones, dependencies, risks, issues and resource constraints.
- Coordinate cross-functional teams across business, technology, architecture and governance.
- Drive programme governance, reporting and stakeholder alignment.
- Ensure approved requirements and designs transition effectively into implementation.
- Monitor delivery progress and proactively identify and escalate delivery constraints.
- Facilitate timely decision-making across key stakeholders.
- Support effective resource planning and delivery capacity management.
- Ensure delivery remains aligned to agreed scope, timelines and business outcomes.
- Support knowledge transfer and continuity across delivery teams.
Requirements
- Extensive experience in programme or technology delivery within a large enterprise environment.
- Proven experience managing multiple concurrent Agile workstreams.
- Strong experience in digital transformation and software delivery.
- Experience working across business, technology, architecture, risk and governance functions.
- Strong stakeholder and vendor management experience.
- Demonstrated experience managing complex dependencies, risks, issues and delivery milestones.
- Experience within financial services, banking or insurance is highly advantageous.
- Strong understanding of digital applications, technology delivery and enterprise integrations.
- Excellent communication, coordination and reporting skills.
Advantageous Experience
- Insurance or banking domain experience.
- Experience with large-scale digital platforms and transformation programmes.
- Exposure to API-led integration, enterprise integration and real-time digital solutions.
- Experience working within Agile delivery environments.
- Experience coordinating distributed or cross-functional technical teams.
Deadline:21st October,2026
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Job Description
- Our client, a leading financial services organisation, is looking for an experienced Solution Architect to support a large-scale digital transformation programme.
- The successful candidate will be responsible for designing scalable technology solutions across digital channels, APIs, backend platforms and enterprise systems, ensuring alignment with enterprise architecture, security and technology standards.
Key Responsibilities
- Design end-to-end technology solutions for complex digital initiatives.
- Translate business and functional requirements into scalable technical solutions.
- Develop solution architectures covering digital applications, APIs, integrations and backend services.
- Define integration approaches across digital channels and enterprise platforms.
- Provide technical guidance to development and delivery teams.
- Ensure solutions align with enterprise architecture, security, risk and technology standards.
- Identify technical dependencies, risks and potential delivery constraints.
- Collaborate with Business Analysts, Engineers, Product teams and Enterprise Architects.
- Support the transition of approved designs into implementation.
- Contribute to technical documentation, solution designs and implementation roadmaps.
- Support the delivery of resilient, scalable and production-ready solutions.
Requirements
- Extensive experience as a Solution Architect within a large enterprise environment.
- Proven experience delivering complex digital solutions.
- Strong understanding of enterprise integration and API-led architecture.
- Experience with REST APIs, backend systems and systems integration.
- Experience with event-driven architecture and real-time processing.
- Strong understanding of enterprise architecture and integration patterns.
- Experience with cloud technologies, preferably Microsoft Azure.
- Understanding of enterprise security and technology controls.
- Experience working within Agile delivery environments.
- Strong stakeholder-management and communication skills.
- Experience within financial services, banking or insurance is highly advantageous.
Advantageous Experience
- Digital and mobile application delivery.
- React or modern front-end technologies.
- Java and backend technologies.
- API-led integration.
- Event-driven architecture.
- Rules engines and real-time decisioning.
- Payment, collections or insurance platforms.
- Large-scale digital transformation programmes.
Deadline:21st October,2026
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