Data Engineer

About the role

Nedbank is expanding its Data & Analytics capability and is looking for a Data Engineer to design, build and operate enterprise‑scale data platforms that support strategic decision‑making across the bank.

Key responsibilities

• Build and maintain enterprise‑scale data pipelines for ingestion, provisioning, streaming and API delivery.
• Enhance the data infrastructure to support analytics, machine learning and AI.
• Develop optimized data integration across Golden Sources, Trusted Sources and Writebacks.
• Load and maintain Data Warehouse layers (Data Reservoir, ADW, Enterprise Data Marts).
• Engineer big‑data and streaming solutions using Hadoop, Kafka and IBM Infosphere Data Replication.
• Drive cloud‑based data engineering using Azure Data Factory, Azure Databricks and related tools.
• Build APIs for data consumption and enable self‑service access for business users.
• Implement data quality, governance controls and monitoring across all pipelines.

Required profile

• 3+ years of experience in Data Engineering.
• Credit Risk System experience (non‑negotiable).
• Experience designing and maintaining data warehouses and data lakes.
• Strong programming skills in SAS, Java and Python.
• Strong SQL skills across Oracle, SQL Server, relational and NoSQL databases.
• Hands‑on experience with CI/CD and DevOps tools (GitLab CI, GitOps, Docker, Kubernetes/EKS, Microservices).
• Infrastructure‑as‑Code experience (AWS CDK, Terraform).
• Observability experience (Prometheus, Grafana, Loki, Tempo, OpenTelemetry).
• Cloud experience with AWS, Azure (preferred) and exposure to GCP.
• API development and testing using REST, Postman and Swagger.
• Familiarity with AI/ML tooling (PyTorch, TensorFlow, MLFlow, computer vision, NLP).
• Bachelor’s degree or Advanced Diploma in IT, Engineering, Mathematics, Statistics, Econometrics or related field.
• Relevant cloud, DevOps or Data Engineering certifications are a plus.

Required skills

• Hadoop
• Kafka
• IBM Infosphere Data Replication
• Azure Data Factory
• Azure Databricks
• REST APIs
• SAS
• Java
• Python
• Oracle SQL
• SQL Server
• NoSQL databases
• GitLab CI
• GitOps
• Docker
• Kubernetes (EKS)
• Microservices
• AWS CDK
• Terraform
• Prometheus
• Grafana
• Loki
• Tempo
• OpenTelemetry
• AWS
• Azure
• GCP
• Postman
• Swagger
• PyTorch
• TensorFlow
• MLFlow
• Computer vision
• NLP

What we offer

• Competitive remuneration and incentives
• Comprehensive medical aid and provident fund
• Hybrid working model