Capitec Bank is a South African commercial bank. As of February 2017 the bank was the third largest in South Africa with 120,000 customer opening new accounts per month.
To simplify banking, we’ve developed an all-inclusive banking solution. Global One is the one solution that enables you to transact, save and access credit in realtime. We also believe in ...
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About the team
- The Collections and Recoveries division is responsible for identifying, assessing, monitoring and mitigating risk across all recoveries-related activities.The team uses innovation and technology to build a world-class collections capability one that serves millions of South Africans at a pace and scale few environments can match. Every system you build feeds directly into that mission.
What you'll do
- Translate business and technical requirements into back-end solutions that balance performance, security, resilience and cost
- Build and optimise APIs, reusable libraries and database components that power real application functionality
- Write business logic and algorithms that process data accurately and at speed
- Champion quality through automated testing, CI/CD practices and secure coding principles (DevSecOps)
- Debug issues across all severity levels and support standby operations when it counts
- Share your work with the broader product team and contribute to a codebase the whole team is proud of
Why this role is different
- Most engineering roles give you problems to solve. This one gives you problems that matter. You'll work inside one of South Africa's most active financial divisions where the systems you build directly affect how effectively we recover money and support clients in difficulty.
- You'll have immediate access to executive management from day one, work alongside engineers who share knowledge freely, and operate in an environment where collaboration, innovation and creativity drive everything we do.We don't wear suits and we don't do bureaucracy for its own sake. We're passionate people who love what we do and we work together to make banking simple and transparent so that our clients can live better.
What we're looking for
- 3+ years’ proven experience in back-end software development, project delivery and implementation (in relevant development technologies/language). Experience with back-end frameworks and technologies
- Grade 12 National Certificate
- A relevant tertiary qualification Information Technology
- Solid back-end engineering experience with production-grade systems
- Proficiency in C# and.NET Core
- Working knowledge of AWS and Azure cloud platforms
- Experience with PostgreSQL writing efficient queries and optimising data modelsUnderstanding of API design and development of reusable components
- Comfort with CI/CD pipelines, automated testing and secure coding practices
- Ability to debug complex issues under pressure and communicate clearly while doing it
- A collaborative mindset you build for the team, not just for yourself
What's in it for you
- We want our people to be the best they can be, which is why we invest in their growth and development and proactively encourage continuous learning. We have a high internal promotion rate. If you take initiative and back yourself, the path forward is yours to shape.
- Our Employee Value Proposition gives every member of our team real value,thhrough meaningful involvement in our organisation, cohesive teams, growth opportunities and employee benefits.
You'll also get:
- Access to cutting-edge cloud infrastructure across AWS and Azure
- A team culture built on humility, openness and shared ownership
- The kind of scale that makes the work genuinely challenging and genuinely rewarding
- An open-door policy that gives you real access to the people who make decisions
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Purpose Statement
- To manage the Centralised Collections Call Centre Managers and ensure that all Campaigns are efficiently and effectively delivered to maximise debt recoveries from Capitec Bank clients.
- To manage all new collections products’, Policy changes and any champion/challenger collection activities
- To use innovation and technology to create a world class Collection department
Experience
Minimum:
- At least 3yrs experience in managing and leading a diverse team
- At least 3yrs experience in a Collections and/or Call Centre management/Debt review environment
- Report writing (Executive level)
- Report analysis
Ideal:
- Extensive Collections Call Centre management in a constantly changing environment
- Extensive experience across Contact Centre technology platforms
- Experience with digital tools to enhance collection strategies and payment channels
- Experience within a Fintech environment
Qualifications (Minimum)
- Bachelor's Degree in Business Management or Business Administration
Qualifications (Ideal or Preferred)
- A relevant post-graduate qualification in Business Management or Business Administration
Knowledge
Minimum:
Knowledge and understanding of:
- Commercial and business imperatives re financial service / credit / collections environment
- People management and development practices
- Call centre environments
- Call Centre Technology
- Alternate work methods
- Resource planning
Ideal:
- Capitec Bank policies and procedures
- South African banking environment
- Banking legislation
- HR procedures
- Call centre environments in collection
- Contact centre technology
- Payment platforms
- Incentive scheme design and implementation
Skills
- Planning, organising and coordination skills
- Strategic Thinking Skills
- Commercial Thinking Skills
- Interpersonal & Relationship management Skills
- Leadership Skills
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- We're growing our Credit Access team and we need someone who can hit the ground running, take ownership of meaningful work and help lift the people around them. A position in the team has recently opened up, and we're looking for a back-end engineer who doesn't need to be told twice. If you're the kind of person who spots a problem, solves it and then documents what you did for the next person we are looking for you.
What you'll do
- Design and build robust back-end systems that support our credit estimate feature across both our website and app
- Develop and maintain purpose lending products across our banking platforms including active migration work from legacy to modern systems
- Write clean, reusable code, APIs and libraries that make life easier for the engineers who come after you
- Optimise database queries and data models to keep things fast, reliable and scalable
- Debug issues across all severity levels from minor fixes to escalated production incidents
- Champion quality through automated testing, CI/CD practices and secure coding standards
The team
- You'll be joining our Credit Nexis team a focused group of back-end engineers responsible for the services and features that help clients understand and access credit.
- We own the full back-end of our credit estimate journey (website and app) and are the custodians of our purpose lending product suite.
- Purpose lending is a product that pays retailers directly on behalf of clients — think home renovation suppliers, not a cash payout. It operates differently from a standard term loan, with its own interest rate structure and integration requirements. Our work sits at the intersection of client experience and financial infrastructure it's meaningful, technically interesting and directly affects how clients interact with their money.
Why this role is different
- You'll work on features that are live, at scale and used by real clients not prototypes or internal tools
- You'll have genuine influence on how we build and evolve our purpose lending stack, including active system migration work
- Our team values autonomy we'll onboard you properly, and then we trust you to runts
- We work in a flat, collaborative environment where initiative is noticed and rewarded our internal promotion rate reflects that
What we're looking for
- 3+ years’ proven experience in back-end software development, project delivery and implementation (in relevant development technologies/language). Experience with back-end frameworks and technologies
- Grade 12 National Certificate
- A relevant tertiary qaulification in Information Technology
- Solid back-end engineering experience we work in C#/.NET Core, AWS and SQL
- The ability to translate complex business requirements into clean, scalable solutions
- Experience with CI/CD pipelines A secure coding mindset — DevSecOps practices are part of how we work
- Strong debugging skills you can diagnose and resolve issues independently
- Leadership instinct you step up, share knowledge and help others when they're stuckA self-starting attitude after onboarding, you manage your own work
- Good communication: you can explain technical decisions to non-technical people
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- Our credit products from term loans and credit cards to access facilities touch millions of South Africans every day. Behind every decision that works, every account that behaves as expected, every flow that doesn't break, there's a quality engineer making sure the code is ready. We're growing our Credit team and we need someone who takes ownership of test quality not just test execution.
What you'll do
- Design and run end-to-end automated test suites that give the team real confidence before anything ships
- Own test coverage across credit product flows from origination and account management through to behavioural and data-driven processes
- Write and maintain service stubs and mocks so testing can happen independently of live systems
- Query and validate data using SQL, making sure the right outcomes land in the right places
- Track, report and communicate test results clearly surfacing risks early so the team can act on them
- Share what you know support and guide less experienced engineers as the team grows
About the team
- The Nexus Credit team works across some of our most complex and high-impact product areas: term loans, credit cards, access facilities, payday management and the data science models that drive credit decisions in the background. The work is technically deep event-driven architectures, behavioural scoring, real-time financial data and the team is split across Stellenbosch and Sandton, so you can be based at either location. Half the team is already distributed, and it works well.
Why this role is different
- Most QA roles sit at the edges of a product. This one sits in the engine room. You'll work directly with credit and data science workflows the kind of systems where quality decisions have real financial consequences for real people. We don't wear suits and we don't work in silos. You'll have room to influence how automation is done, not just execute what's already been decided. And if there are tools in our stack you haven't used yet, we believe in investing in growth and proactively encouraging continuous learning and development. Upskilling time is built in.
What we're looking for
- Grade 12 National Certificate
- A Relevant Tertiary Qualification
- 3–5 years of hands-on experience in test automationSolid working knowledge of Playwright or transferable tools such as Selenium
- JavaScript / Node.js for test automation this is your primary language
- SQL fundamentals, including PostgreSQL and/or SQL Server
- Familiarity with test management, quality assurance practices, reporting and defect tracking
- Understanding of software development lifecycles, APIs and system integration concepts
- The ability to analyse, interpret and validate system behaviour not just run scriptsService stubbing / mocking using Node.js is advantageous
- Exposure to Kafka, event-driven architecture, AWS cloud services or credit / financial services environments is advantageous
- Strong communication and interpersonal skills you'll work across engineering, product and data teams
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What you’ll be doing
- This is not a traditional reporting role. You’ll own and evolve the Sigma analytics platform sitting on top of our Snowflake data environment and work closely with Treasury leadership to ensure critical insights are always available, accurate and decision-ready. The Data Analyst will work as the bridge between technical teams to translate business questions to data requirements. Understand the business processes and how data flows into the warehouse. Be involved in the design of new processes and ensure the design caters for data needs at the end of projects with little to no data rework needed.
You wil:
- Own the analytics layer
- Build and maintain Sigma dashboards, data models and reporting solutions supporting ALCO, Exco and Board-level decision-making.
- Turn complex data into clear insight
- Translate Treasury, liquidity and capital requirements into usable data products that shape strategy and planning.
- Drive smarter decision-making
- Design KPIs, dashboards, scenario analyses and self-service tools that enable faster, data-driven decisions across technical and non-technical stakeholders.
- Act as the bridge between business and data
- Translate business questions into data requirements and ensure reporting solutions are built with the end in mind.
- Improve and automate how we work
- Identify opportunities to streamline reporting, reduce manual effort and use AI/modern tooling to improve productivity and efficiency.
- Partner across teams
- Work closely with Treasury, Finance, Risk, Data Engineering and Analytics teams to deliver high-quality, scalable solutions.
What we’re looking for
Minimum requirements
- Relevant degree in Data, Analytics, Finance, or a related field
- Minimum of 5 years’ Experience in data analysis, BI engineering or analytics platforms
- Strong SQL skills and experience working with large datasets
- Experience with BI tools such as Sigma, Power BI, Tableau or similar
- Ability to communicate insights clearly to non-technical stakeholders
- Minimum of 5 years’ Experience delivering data-driven insights in a business environment
What will set you apart
- Experience working on cloud data platforms (e.g. Snowflake)
- Exposure to Treasury, banking or financial services data
- Experience building data models, dashboards and automated workflows
- Understanding of AI/GenAI use cases in analytics
- Experience working with or interpreting Python/R/Excel-based models
- Proven track record of influencing decisions through data at a senior level
Qualifications (Minimum)
- Bachelor's Degree in Analytical/Data/Technical or Other
Qualifications (Ideal or Preferred)
- Honours Degree in Analytical/Data/Technical or Other
Knowledge
- Advanced proficiency in writing complex SQL, optimising query performance, and working with large datasets on a cloud warehouse (Snowflake preferred).
- Strong proficiency in building advanced, governed visualisations, dashboards and data models in Sigma (or Tableau / Power BI / Looker / similar).
- Solid understanding of cloud data warehouse architecture, data modelling and semantic layers (data layer, scenarios, lineage) — ideally Snowflake.
- Understanding of analytics workflow orchestration, automation and data governance — version control, approvals, audit trails and lineage.
- Practical understanding of AI/GenAI applied to analytics — semantic layers, AI-assisted workflow and dashboard design, and automation of analytics processes.
- Ability to read and interpret existing Python, R or Excel models in order to port their logic and outputs into Sigma + Snowflake.
- Expertise in advanced Excel (including macros/VBA) sufficient to interpret and migrate existing Excel-based models.
- Awareness of Treasury / ALM concepts (IRRBB, NII/EVE, LCR/NSFR, FTP, capital planning, stress testing) and regulatory artefacts (LAS, ICAAP, ILAAP, CSST, Recovery Plan) is advantageous — domain depth is provided by the quants and ALM specialists the role supports
Skills
- Analytical Skills
- Communications Skills
- Problem solving skills
- Project Management Skills (Methodolgy Specific)
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Purpose Statement
- Provide commercial analytical support to business decision-makers by analysing financial and non-financial data, profitability modelling and identifying opportunities across all dimensions including transactions, products and distribution channels.
Experience
- 2+ years’ experience in a similar analytical role i.e. costing analyst.
Qualifications (Minimum)
- Grade 12 National Certificate / Vocational
- Bachelor's Degree in Accounting - Financial Accounting or Commerce
Qualifications (Ideal or Preferred)
- Bachelor's Degree in Accounting - Financial Accounting or Commerce
Knowledge
- Accounting principles
- Costing principles (ABC: Activity-Based Costing)
- Budgeting & Forecasting principles
- Financial modelling and data manipulation (e.g., Excel)
Skills
- Communications Skills
- Numerical Reasoning skills
- Computer Literacy (MS Word, MS Excel, MS Outlook)
- Attention to Detail
- Problem solving skills
- Conditions of Employment
- Clear criminal and credit record
- Willing to work regular shifts or weekends or rotational standbys
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- We work closely with South Africa’s leading franchise brands to help entrepreneurs open, grow and take ownership of successful businesses. This role exists to turn franchise opportunities into well‑structured, well-assessed funding deals that work for our clients and for us. We need someone who can make sense of complex information, apply sound judgement and move opportunities forward with confidence.
- If you enjoy turning complex business ideas into well-structured deals and want to work at the heart of the franchise market, keep reading.
What you’ll do
- Control the franchise funding pipeline by hunting and closing opportunities that drive rapid growth of the Business Bank’s franchise portfolio.
- Put together end-to-end funding applications for franchise clients, from first discussion through to approval.
- Assess the commercial and financial strength of franchise businesses and ownership changes.
- Work closely with franchisors, franchisees and our internal teams to gather, verify and analyse information.
- Use established benchmarks and tools to ensure deals are consistent, practical and well-motivated.
- Prepare clear credit proposals and communicate outcomes and conditions to clients.
- Keep a close eye on quality, turnaround times and client experience throughout the process.
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Purpose Statement
- We're looking for a technically versatile Analytics Engineer to sit at the intersection of data engineering and data analysis — To bridge the gap between Data Engineers and Data Analysts by transforming complex data into accessible, reliable and performant data models and insights that drive decision-making across the organisation. You'll collaborate with stakeholders to understand analytical needs, partner with Data Architects and Data Modellers to design scalable models, and build the efficient, reproducible data assets — including data models and marts, semantic layers and working environments — along with the transformations and pipelines that let analysts deliver insights with speed, consistency and minimal frictionat a time when both worlds are running side by side. The team is migrating to a modernised data platform while keeping the legacy environment live. You'll make sure the data stays clean, reliable and accessible across both — and that no one on either side of the transition feels the friction.
What you'll do
- Build scalable data models, marts and semantic layers
- Design reproducible transformations and pipelines across legacy and modernised environments
- Partner with Data Architects and Data Modellers to align on enterprise data strategy
- Maintain data quality and governance standards throughout the migration
- Productionise reports using engineering principles
- Work with CI/CD pipelines, testing frameworks and orchestration tools like Airflow3
- Use AI tools — including Copilot and Claude — as active partners in your work
Minimum Experience
- Honours degree in an analytics/engineering or STEM or related field, PLUS at least 5yrs relevant experience OR
- Bachelor’s degree in an analytics or STEM or related field, PLUS at least 8yrs relevant experience OR
- Equivalent experience of 8 yrs relevant experience and/or relevant certifications.
- At least 5 years’ experience in analytics engineering or a related role
- Proven track record of delivering scalable data solutions and leading projects
- Experience with high-volume data environments
- Experience with CI/CD, testing frameworks and orchestration tools (e.g., Airflow)
- Experience productionising reports using engineering principles
Qualifications (Minimum)
- Bachelor's Degree in Analytical/Data/Technical or Other
Qualifications (Ideal or Preferred)
- Honours Degree in Analytical/Data/Technical or Engineering - Other
Knowledge
- Advanced grasp of:
- Data modelling best practices.
- Data governance and quality assurance.
- Cloud data platforms and orchestration tools (e.g., Airflow, Prefect).
- Understanding of software engineering principles (e.g., CI/CD, testing).
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Purpose Statement
- To build, maintain and optimise effective client relationships by providing excellent client service through engagement and consultation with existing clients including installation, after sales support and training on products.
- To contribute to the overall profitability of Business Bank by promoting and selling Business Bank and merchant products to new and existing clients.
Experience
Min:
- At least 2-3 yrs. proven experience in a CRM environment with responsibility for, or exposure to cross and upselling.
- Proven experience in identifying sales or business opportunities and/or customer needs and providing solutions for these.
- Building and developing a client base across a geographic area.
- Experience in a FMCG, banking or retail environment
Ideal:
- Providing on-site support and training to external clients
- Providing on-site technical support/client support within a retail/sales environment
- Cold-calling/external sales experience in a merchant acquiring environment, generating own selling opportunities
Qualifications (Minimum)
- Grade 12 National Certificate / Vocational
Qualifications (Ideal or Preferred)
- Bachelor's Degree in Commerce or Marketing
Knowledge
Minimum:
- Commercial, economic, SME landscape (esp. in the relevant geographic area)
- Sales and sales optimisation techniques & principles
- Commercial/business know how (how businesses work.)
- Client relationship management principles
- Engagement/conflict management practices
- Performance culture
Ideal:
Knowledge and understanding of:
- Business banking landscape, product knowledge
- Payment solutions environment (merchant services)
- Stock control
- POS Solutions
- Capitec Bank Acquiring product knowledge
Skills
- Influencing Skills
- Planning, organising and coordination skills
- Communications Skills
- Commercial Thinking Skills
- Interpersonal & Relationship management Skills
- Negotiation skills
- Computer Literacy (MS Word, MS Excel, MS Outlook)
Conditions of Employment
- Clear criminal and credit record
- A valid driver's license and own vehicle is required as an inherent operational requirement of the job
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- Payments don't fix themselves. We're growing our Payments division and we need someone who knows how to sit at the junction of business and tech — and get things done there.
- This role exists because our corporate clients depend on payments working every day, and the team needs someone who can keep things running and make them better. You'll be the primary connection between business stakeholders and our IT teams — the person who turns a problem into a solution.
What you'll do
- Work with stakeholders to understand and prioritise business needs, then analyse and document those requirements so everyone is clear on scope and direction.
- Troubleshoot system issues end to end — from first contact through to resolution, escalating to the right level when needed.
- Review how systems are configured and performing, spot weaknesses and recommend improvements.
- Design test cases and run unit testing to make sure solutions work before they go live, including post-implementation checks where needed.
- During rollouts, guide and clarify system requirements to make sure what gets built actually matches what the business needs.
- Share automation knowledge across the team and support integration work in the environment.
About our team
- Our Payments division sits at the heart of how money moves — for individuals and for the corporate partners who rely on our infrastructure every day. The work here spans the full payments environment, which means real, high-stakes problems with direct impact on how clients experience financial services.
- We design, configure and maintain system automation and integration across the development lifecycle, and we provide technical support and query resolution to keep things running. The team is collaborative and close-knit — business, tech and client-facing teams all in one space.
Why this role is different
- It's a genuine hybrid: part systems analyst, part technical support — your skills will grow in both directions
- You'll work directly with corporate clients and our developers, giving you wide visibility across how payments actually work
- No two problems look the same here, so you'll build real troubleshooting depth fast
- You'll be expected to take ownership of your own technical growth — and the environment will help you do it
What we're looking for
- 2 – 4 years' technical experience in systems analysis, software development, systems engineering or similar, including experience working across cross-functional and technical teams
- A PASA certification — this is a non-negotiable requirement given the transactional nature of the role
- Experience in payments or a related technical environment (advantageous)
- Knowledge of systems analysis methods, defining functional and non-functional requirements, SQL and API integration (REST, SOAP or similar)
- Knowledge of ITIL principles, banking systems, card processing and quality assurance best practices (advantageous)
- Strong analytical, problem-solving, communication and interpersonal skills, with solid business writing ability and attention to detail
Qualifications (Minimum)
- A relevant tertiary qualification in Information Technology
Qualifications (Ideal or Preferred)
Skills
- Analytical Skills
- Attention to Detail
- Business writing skills
- Communications Skills
- Interpersonal & Relationship management Skills
- Numerical Reasoning skills
- Problem solving skills
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Purpose of the role
- We need this role because reliable analytics depend on well‑designed, well‑tested data foundations. We turn raw, complex data into structured, business‑ready datasets that teams can trust every day. This role exists to ensure data models, pipelines and semantic layers are built to perform, scale and support meaningful decision‑making across the business.
What you’ll do
- Design, build and maintain production‑ready data models that transform raw data into usable datasets
- Develop scalable data transformations with strong validation, testing and quality controls
- Create and optimise semantic layers and aggregation logic that support reporting and analysis
- Maintain and troubleshoot live data models, resolving incidents and improving performance
- Lead and influence design decisions, balancing quality, speed and long‑term sustainability
- Support and guide less experienced engineers through reviews, documentation and practical coaching
The team and how work gets done
- We work at the point where data becomes usable. The focus is on structuring, modelling and supporting data that feeds reporting and insights across multiple teams. Collaboration is key, with regular engagement across engineering, analytics and architecture. The work directly affects how quickly questions can be answered and how confidently decisions can be made.
What we’re looking for
- At least 5 years’ experience in analytics engineering or a closely related data role
- Proven experience delivering and supporting production data models and pipelines
- Strong data modelling capability and confidence designing business‑ready datasets
- Advanced SQL skills and experience using Python for data transformation or automation
- Experience building, testing and deploying data transformations using structured release practices
- Experience working on cloud data platforms and workflow orchestration tools such as Airflow or Prefect
- A solid understanding of data quality, governance and documentation
- Experience influencing technical decisions and working closely with stakeholders
- A bachelor’s degree in analytics, data, engineering, STEM or a related field
Qualifications (Minimum)
- Bachelor's Degree in Analytical/Data/Technical or Other
Qualifications (Ideal or Preferred)
- Honours Degree in Analytical/Data/Technical or Engineering - Other
Knowledge
- Advanced grasp of:
- Data modelling best practices.
- Data governance and quality assurance.
- Cloud data platforms and orchestration tools (e.g., Airflow, Prefect).
- Understanding of software engineering principles (e.g., CI/CD, testing).
Skills
- Analytical Skills
- Communications Skills
- Planning, organising and coordination skills
- Problem solving skills
- Reporting Skills
- Conditions of Employment
- Clear criminal and credit record
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- At Capitec, we believe banking should be simple - and so should building great teams. That’s where you come in.
- We’re looking for a Strategic People Partner who doesn’t just support the business but helps shape it. Someone who can confidently take a seat at the table, challenge thinking, and partner with leaders to build teams that truly move the needle.
What You’ll Be Doing
- Partner with senior leaders to co-create and deliver people strategies aligned to real business priorities.
- Operate as a thought partner to executives, connecting business strategy, people priorities, and organisational choices to drive long-term impact.
- Shape organisation and workforce design to enable scale, agility, and effective ways of working.
- Be a trusted advisor -solving complex people challenges and shaping solutions that stick.
- Lead and support enterprise-wide strategic initiatives in partnership with Centres of Excellence.
- Guide leaders across the talent lifecycle, including talent acquisition, performance, succession, and workforce planning.
- Understand the impact of emerging technologies, including AI, and proactively shape workforce capability, roles, and ways of working as the business evolves.
- Drive DEI and employee experience as part of broader business transformation (not standalone initiatives).
How You Will Create Impact
- Drive end-to-end change management - from diagnosing the need for change to embedding and sustaining it.
- Design and evolve future-fit organisational structures that enable agility, scalability, and performance.
- Lead organisation design conversations, including spans, layers, capabilities, and ways of working.
- Build change capability in leaders, enabling them to lead transformation confidently
- Use people data, organisational diagnostics, and external trends to proactively shape workforce strategy.
- Embed new ways of working (agile, digital-first, customer-centric teams).
- Identify capability gaps and influence upskilling and reskilling strategies for the future.
- Act as a connector across the business, breaking silos to enable integrated people solutions
What You Bring
You’re not just experienced - you’re strategically wired and impact-driven.
- You bring 8+ years’ experience as a Strategic HR / People Partner, with a track record of delivering real outcomes.
- You’ve partnered with leaders at an executive senior, strategic level, shaping direction - not just supporting it.
- You understand business strategy and how people enable it (beyond HR frameworks).
- You’ve led or supported change, restructuring, and organisational design in complex environments.
- You’re confident challenging thinking and influencing stakeholders, with credibility and care.
- You balance strong people intuition with data-driven decision-making.
The Foundation:
- A relevant tertiary qualification in Human Resources, Commerce, or Industrial / Organisational Psychology.
- Ideally, a postgraduate qualification and HPCSA registration.
- Strong HR generalist capability, with sound knowledge of governance, systems, and labour legislation.
The Edge:
- You’re an energy-giver - someone deeply connected to the business, who can read the room, sense what’s needed, and move seamlessly between strategic thinking and hands-on execution to drive meaningful, lasting impact.
Why You’ll Love It Here
- Work closely with leaders who value your insight and expertise.
- Be considered for broader opportunities as the organisation evolves.
- Thrive in a culture that values collaboration, innovation, and continuous growth.
- Make a tangible impact on both business performance and employee wellbeing.
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- We’re building a sharper, more forward-looking Finance Business Partnering capability to support growth across our organisation. Our team works closely with executives and senior leaders across the bank, supporting multiple portfolios that serve millions of clients and enable key strategic initiatives.
- You’ll partner directly with leadership to shape strategy, challenge thinking, and turn insight into real financial impact - as we continue to evolve from traditional reporting into a more advisory, future-focused function that helps shape business direction.
What You’ll Do
- Partner with senior leaders to support planning, performance tracking and decision-making.
- Translate business drivers into clear financial insight that informs action
- Contribute to budgeting, forecasting and management reporting cycles
- Provide commercial analysis that helps manage risk and support sustainable growth
- Use financial models and driver‑based analysis to test scenarios and improve outcomes
Why This Role is Different
- We offer early exposure to senior decision‑makers and complex, real‑world challenges
- We value commercial thinking as much as technical skill
- We encourage curiosity, constructive challenge and shared ownership
- We invest in long‑term relationships through an ongoing talent pool, not just single roles
What We’re Looking For
- Fully qualified CA(SA) or CIMA (CGMA) professional.
- 2–3 years’ post-qualification experience (post-articles) in finance, with a strong focus on financial planning and analysis, commercial finance, or business partnering
- Proven experience partnering with the business and delivering financial insights to senior stakeholders to support strategic decision-making
- Hands-on experience in budgeting, forecasting, performance management, and management reporting
- Strong financial modelling capability, including driver-based analysis, scenario modelling, and strategic investment evaluation
- Experience working across complex portfolios or multi-divisional environments, with an understanding of cross-functional financial integration
- Solid understanding of financial governance, regulatory frameworks, and IFRS (advantageous, depending on portfolio)
- Familiarity with enterprise financial systems and planning tools
- Demonstrated ability to contribute to team capability, including mentoring or supporting junior team members
- Strong communication skills, with the confidence to challenge, influence, and collaborate with senior stakeholders
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- At Capitec, Data Engineers help build and optimise the pipelines, platforms and data systems that transform complex data into reliable, accessible insights. Our Data Engineering environment supports large-scale banking data, connects complex data sources to business needs, and focuses on secure, scalable and future-ready data solutions. We’re building a Data Engineer Talent Community for future opportunities across Data Engineer Levels. This is not for one specific vacancy — it’s a way for talented data engineers to connect with us early, learn about future opportunities, and be considered when roles aligned to your experience become available.You’ll be part of an environment where data engineering is more than maintaining pipelines. Our teams work across cloud-native data platforms, data lakes, data warehouses, batch and real-time data processing, scalable pipelines, data quality, governance and modern engineering practices. Senior-level roles also contribute to platform design, engineering frameworks, standards, technical mentorship and AI-enabled data engineering practices.
What you could work on
Depending on your level of experience, future Data Engineer opportunities may include:
- Designing, building, testing and maintaining ETL/ELT pipelines and data infrastructure that support analytics, reporting, product, risk and client experience decisions.
- Working with cloud-native data platforms, including AWS-focused environments, Redshift or similar cloud data warehouses, data lakes and data warehouses.
- Using Python, SQL, Git, CI/CD, Terraform or other Infrastructure as Code practices to build reliable, scalable and production-grade data solutions.
- Collaborating with Data Architects, Solutions Architects, Analysts, Product teams and technical stakeholders to translate business needs into practical data solutions
- Improving data quality, monitoring, governance, performance, reliability and scalability across the data ecosystem.
- Growing from foundational engineering delivery into independent pipeline ownership, solution design, technical leadership, mentorship and platform-level impact.
- Technologies and practices you may work with
- Python | SQL | AWS | Redshift | Data Lakes | Data Warehouses | ETL/ELT | Batch Processing | Streaming / Real-time Pipelines | Git | CI/CD | Terraform / Infrastructure as Code | Data Modelling | Data Quality | Data Governance | Workflow Orchestration | Power BI / Microsoft Data Stack exposure | AI tooling and automation
Who should join this talent community?
- We're looking to connect with Data Engineers across a range of experience levels, from professionals building their foundational skills through to highly experienced engineers leading complex data initiatives. You may be a strong fit if you have experience with SQL, Python, data warehousing, cloud platforms (AWS, Azure or GCP), ETL/ELT pipelines, data modelling, and Agile delivery practices. Depending on your level of experience, you may be contributing to data pipeline development, system analysis and solution design, independently building and maintaining cloud-native data solutions, or taking technical ownership of large-scale platforms, architecture, performance optimisation, governance, CI/CD, infrastructure-as-code, and engineering standards. We welcome individuals who are passionate about data, enjoy solving complex problems, collaborate effectively with stakeholders, and are looking to grow their expertise in areas such as cloud engineering, data architecture, AI-enabled engineering, platform design, and technical leadership.
Why join our Data Engineer Talent Community?
This is an opportunity to connect with future roles in a data environment that offers:
- Enterprise-scale impact — work on data solutions that support banking products, decisions, risk, client experience and operational insight across a large retail banking environment
- A modern technical environment — grow your skills across Python, SQL, AWS, Redshift, cloud data warehouses, data lakes, CI/CD, Git, Terraform, orchestration, data quality and governance.
- Growth across levels — progress from foundational engineering delivery to independent pipeline ownership, solution design, platform engineering, technical mentorship and staff-level contribution.
- Purposeful engineering — build reliable, accessible and future-ready platforms that help turn complex data into insight and innovation.
- Continuous learning — role information and onboarding material reference learning pathways, AWS Cloud Practitioner Essentials, AWS DevOps Tools, AWS Glue and Terraform Associate learning topics for Product Data Engineers.
Education (Minimum)
- Bachelor's Degree in Information Technology
Education (Ideal or Preferred)
- Honours Degree in Information Technology - Computer Science or Information Technology
Knowledge and Experience
Knowledge:
- Expert level SQL knowledge with query optimisation and tuning and indexing strategies.
- Architecture design for batch and streaming systems
- Deep knowledge of multiple programming languages and implementation of advanced algorithms for data processing.
- Design enterprise wide real-time / batch data integration architectures.
- Advanced knowledge of one cloud platforms data services.
- Design and implementation of data lake, data warehouse or other patterns.
- Implementation of enterprise-wide data governance frameworks with automated quality and monitoring.
- Ability to performance optimize across heterogeneous systems.
- Design of multi-environment GitOps strategies, that includes feature flags and other advanced techniques.
- Design & Implementation of containerized data solutions and infrastructure using infrastructure as code
- Design and configuration enterprise workflow orchestration tools and pipelines
Experience:
- Length of experience required is conditional on the qualifications obtained but must include:
- Proven track record of leading large-scale data engineering projects and driving business impact through data solutions
- Experience with advanced data engineering tools and software (e.g., SQL, Python, Java, Apache Spark, Hadoop).
- Experience with machine learning algorithms and their application in predictive analytics
- Experience in designing and implementing complex data architecture and infrastructure.
- With cloud computing platforms (e.g., AWS, Azure, Google Cloud) and their data services 2.
- Experience in aligning data engineering projects with business strategy and goals.
- Experience in providing data-driven recommendations to senior management and influencing decision-making.
- Experience in leading and mentoring less experienced engineers and data teams.
- In people development, sharing and training.
Skills
- Analytical Skills
- Communications Skills
- Computer Literacy (MS Word, MS Excel, MS Outlook)
- Interpersonal & Relationship management Skills
- Problem solving skills
go to method of application »
- At Capitec, we believe better decisions start with better insights. This role exists to unlock the value of our data by turning complex information into clear, practical insights that help our teams make smarter decisions and deliver better outcomes for clients.In this role, you’ll work closely with stakeholders across the business to understand their needs, identify opportunities, and use data to solve real problems. Your insights will support how we design products, improve processes and measure performance — helping us grow as a truly insights‑driven organisation.If you enjoy working with data that has real‑world impact — and explaining insights in a way people can easily understand — this role could be for you.
What you'll be doing:
In this role, you’ll:
- Transform complex data into actionable insights that support business strategy and performance
- Lead and contribute to end‑to‑end data analysis initiatives with measurable business impact
- Analyse large, complex datasets using advanced analytical tools and techniques
- Partner with cross‑functional teams to understand business challenges and data requirements
- Build clear, intuitive dashboards and reports for decision‑makers
- Identify trends, risks and opportunities across products, processes and customer journeys
- Communicate findings and recommendations clearly to non‑technical stakeholders
- Apply your understanding of financial products, business processes and industry context to your analysis
What we're looking for
Minimum Experience :
- An Honours degree in Analytics, STEM or a related field, with at least 5 years’ relevant experience, or
- A Bachelor’s degree in Analytics, STEM or a related field, with at least 8 years’ relevant experience
- Solid experience in data analysis, ideally within banking or financial services
- A proven track record of delivering insights that drive business decisions and outcomes
- Strong capability in advanced data analysis tools such as SQL, Python, R, Tableau or Power BI
- Experience performing complex analysis and statistical modelling
- Confidence working with cross‑functional teams to translate business needs into data solutions
- The ability to explain insights clearly and influence decision‑making at different levels
- A good understanding of financial products, industry trends and regulatory requirements, and how these affect data analysis
Knowledge
- Advanced proficiency in writing complex SQL queries, optimizing query performance, and working with large datasets.
- Expertise in advanced Excel functions, including macros and VBA.
- Proficiency in creating advanced visualizations and dashboards using tools like Tableau, Power BI, or similar
- Advanced skills in Python or R, including data manipulation libraries (e.g., pandas, numpy) and data visualization libraries (e.g., matplotlib, seaborn).
- Strong understanding of statistical methods and their application in financial data analysis.
- Understanding of predictive analytics techniques and their application in financial analysis.
- Knowledge of data modelling techniques to structure and organize data effectively.
- Understanding of risk analysis methods and their application in financial services.
Qualifications (Minimum)
- Bachelor's Degree in Analytical/Data/Technical or Other
Qualifications (Ideal or Preferred)
- Honours Degree in Analytical/Data/Technical or Other
Knowledge
- Advanced proficiency in writing complex SQL queries, optimizing query performance, and working with large datasets.
- Expertise in advanced Excel functions, including macros and VBA.
- Proficiency in creating advanced visualizations and dashboards using tools like Tableau, Power BI, or similar.
- Advanced skills in Python or R, including data manipulation libraries (e.g., pandas, numpy) and data visualization libraries (e.g., matplotlib, seaborn).
- Strong understanding of statistical methods and their application in financial data analysis.
- Understanding of predictive analytics techniques and their application in financial analysis.
- Knowledge of data modelling techniques to structure and organize data effectively.
- Understanding of risk analysis methods and their application in financial services.
Method of Application
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