ICBC Standard Bank Plc
AI Data Engineer
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AI Data Engineer
AI and Data Engineer
About the Role
The AI and Data Engineer will design, build, and operate data pipelines, AI-enabled data products, and data solutions for analytics, automation, and enterprise AI solutions within the AI and Innovation department. This role bridges data engineering excellence with hands-on AI engineering expertise, ensuring scalable, secure, and governed solutions.
The AI and Innovation department supports global business platforms through robust AI services, governance of self-managed business applications, and innovation across Asia, the Americas, and other regions. This team balances operational resilience, regulatory compliance, and strategic transformation.
Key Responsibilities
Data Engineering & Data Products
- Design, build, and maintain scalable data pipelines and reusable data assets for analytics, automation, and AI use cases.
- Implement data models, transformations, and AI-friendly serving patterns for consistency, reusability, data quality, and performance.
- Apply Lakehouse/medallion architecture, metadata enrichment, and standardised APIs for data ingestion, storage, and serving.
- Ensure resilience, observability, cost-efficiency, and maintainability in production environments.
AI Engineering & Solution Delivery
- Develop AI-powered components using retrieval-augmented generation, RAG patterns, embeddings, vector search, and agentic AI architectures.
- Build and productionise AI solutions leveraging the Microsoft ecosystem (Azure AI, M365 Copilot, Power Platform).
- Integrate AI solutions into enterprise systems while maintaining operational resilience and disaster recovery compliance.
- Design secure AI-facing data services with governance, auditability, and privacy controls.
- Document solutions (designs, runbooks, tests) following AI/data engineering best practices.
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Data Operations & Support
- Design and operate end-to-end data pipelines (ingestion, validation → transformation → serving).
- Ensure data quality via automated checks, reconciliation, error handling, and remediation.
- Implement orchestration, monitoring, alerting, and recovery mechanisms.
- Provide 2nd/3rd line support, incident resolution, and operational stability improvements.
Security, Governance & Controls
- Integrate fine-grained security controls into pipelines, data assets, and AI systems (access, audit, compliance).
- Maintain data lineage, provenance, privacy, and retention controls.
- Partner with Cybersecurity, Data Governance, and Technology Risk teams.
- Uphold responsible AI governance standards.
Collaboration & Delivery
- Align solutions with enterprise architecture standards, AI/data platform norms.
- Work with business stakeholders, SMEs, and development teams to deliver requirements.
- Contribute to evolving engineering standards, patterns, and best practices.
- Support global transformation initiatives across AI and data infrastructure.
Essential Requirements
To thrive in this role, you should bring: ✔ Production-grade data pipelines and data services in enterprise settings. ✔ Expertise in data modelling, schema design, and transformation patterns. ✔ Knowledge of Lakehouse patterns, medallion architecture, metadata management, and scalable processing. ✔ Hands-on experience delivering enterprise GenAI/AI solutions at scale. ✔ Deep understanding of LLMs, agentic systems, RAG patterns, and MCP-based extensibility. ✔ Hands-on Azure-based AI and Microsoft ecosystem integrations (M365 Copilot, Power Platform). ✔ Ability to architect AI-ready data services (access control, indexing enrichment, metadata management). ✔ Exposure to CI/CD pipelines, testing frameworks, observability tools, and AI governance. ✔ Proficiency in data access controls, roles-based security, provenance tracking, and privacy compliance. ✔ Experience balancing speed, resilience, and long-term operational excellence in complex environments.
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(Note: Variations in experience such as roles of Infrastructure Architect or Senior Data Modeler may also align—feel free to approach us!)
Why Join ICBC Standard Bank Plc?
⚡ Diverse, inclusive team: Our culture embeds beliefs in authentic self-expression and shared growth under the motto: “Be Yourself, Succeed Together”. ⚡ Career development: Training, mentorship incentives, and a wide range of hybrid work options (2 days remote). ⚡ Support networks for talent: Employee-led forums focused on neurodiversity, women in tech, and overall equality and diversity. ⚡ Swift family milestone backup: 6-month maternity leave at full pay, 4 weeks paternity leave, coaching for transitioners, and services via My Family Care. ⚡ Holistic wellbeing: Private medical insurance, subsidised health/fitness programs, and menopause support policies. ⚡ Volunteer impact: Paid volunteer leave and Give As You Earn CSR initiative.
Benefits
💰 Competitive remuneration:
- Market-based base pay aligning with skills and experience.
- Annual bonus discretion and total pension contributions (15% combined). 🏠 Flexible work:
- Hybrid option (up to 2 days remote depending on role). 🌐 Global connectivity with operations in London, Shanghai, Singapore, and New York.
🚀 Elevated growth: A dynamic suite of learning opportunities tailored to elevate your expertise within the AI and data landscape.
Next Steps
If you believe your strengths align with this role’s demands, apply now. We actively seek exceptional talent passionate about driving AI/deeptech innovation.
All applications are evaluated based on merit—an equal-opportunity employer.
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