Data Engineer

Shape the Future of Data at Nedbank

We are enhancing our Data & Analytics capabilities and are in search of skilled Data Engineers who aspire to construct enterprise-level data platforms, pipelines, and solutions that inform strategic decisions across the organization. This position emphasizes the delivery of contemporary, scalable, cloud-enabled data solutions that support our objective of becoming a completely data-driven institution.

What You’ll Do

• Develop and sustain enterprise-scale data pipelines for ingestion, provisioning, streaming, and API delivery.
• Improve Nedbank’s data infrastructure to facilitate analytics, machine learning, and AI initiatives.
• Create optimized data integration across Golden Sources, Trusted Sources, and Writebacks.
• Load and manage the layers of the Nedbank Data Warehouse (Data Reservoir, ADW, Enterprise Data Marts).
• Engineer big data and streaming solutions utilizing Hadoop, Kafka, and IBM Infosphere Data Replication.
• Propel cloud-based data engineering efforts using Azure Data Factory, Azure Databricks, and associated tools.
• Create APIs for data consumption and provide self-service access for business users.
• Establish data quality, governance controls, and monitoring across all data pipelines.

Why Nedbank?

As one of Africa’s largest financial services groups, we cater to millions across banking, insurance, asset management, and wealth sectors. With a strong Pan-African presence, we are dedicated to sustainable finance and advancing the continent’s aspirations towards a net-zero economy.

Why Join Our Data & Analytics Team?

• Engage with cutting-edge cloud, data engineering, and machine learning technologies.
• Develop reliable data products utilized throughout the enterprise.
• Collaborate with robust and supportive teams across Data Engineering, Data Science, and Technology.
• Deliver impactful solutions that directly affect business results.

What We’re Looking For

• Over 3 years of experience in Data Engineering.
• Experience with Credit Risk Systems (mandatory).
• Proficiency in designing and maintaining data warehouses and lakes.
• Strong programming skills in SAS, Java, and Python.
• Advanced SQL capabilities across Oracle SQL, SQL Server, and both relational and NoSQL databases.
• Familiarity with CI/CD & DevOps tools: GitLab CI, GitOps, Docker, Kubernetes (EKS), and Microservices.
• Knowledge of Infrastructure as Code using AWS CDK and Terraform.
• Experience with observability tools: Prometheus, Grafana, Loki, Tempo, and OpenTelemetry.
• Cloud experience with AWS, Azure (preferred), and familiarity with GCP.
• API development and testing experience using REST, Postman, and Swagger.
• Basic knowledge of AI/ML tools: PyTorch, TensorFlow, MLFlow, computer vision, and NLP.

Required Certification:

• Bachelor’s Degree or Advanced Diploma in IT, Engineering, Mathematics, Statistics, Econometrics, or a related field.
• Cloud certifications in Azure or AWS.
• Certifications in DevOps, Data Engineering, or Data Science (Coursera, Udemy, SAS, Microsoft).

Preferred Certifications:

• Certifications in Cloud (Azure, AWS), DevOps, or Data Engineering.
• Data Science certification from Coursera, Udemy, SAS Data Scientist certification, or Microsoft Data Scientist certification.

Rewards & Benefits

• Competitive salary and incentives
• Comprehensive medical aid and provident fund
• Hybrid working environment
• Access to learning and growth opportunities
• A culture founded on trust, support, and collective ownership

Ready to make an impact?

Click “Apply” and our Talent Acquisition team will reach out to you.

For inquiries, please contact the Nedbank Recruiting Team at +27 860 555 566.