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Data Engineer

Nedbank · Johannesburg

New
Hybrid 🇬🇧 English
Hadoop Kafka IBM Infosphere Data Replication Azure Data Factory Azure Databricks Python Java SAS SQL Oracle SQL Server NoSQL GitLab CI GitOps Docker Kubernetes EKS Microservices AWS CDK Terraform Prometheus Grafana Loki Tempo OpenTelemetry AWS Azure GCP REST Postman Swagger PyTorch TensorFlow MLFlow Computer Vision NLP

Job description

About the role

As a Data Engineer at Nedbank, you will help shape the future of data by building enterprise‑scale data platforms, pipelines, and solutions that drive strategic decisions across the bank. You will work on modern, cloud‑enabled data architectures to support analytics, machine learning and AI initiatives.

Key responsibilities

  • Develop and maintain enterprise‑scale data pipelines for ingestion, provisioning, streaming and API delivery.
  • Engineer big‑data and streaming solutions using Hadoop, Kafka and IBM Infosphere Data Replication.
  • Implement cloud‑based data engineering with Azure Data Factory, Azure Databricks and related tools.
  • Create APIs for data consumption and enable self‑service access for business users.
  • Establish data quality, governance and monitoring across all pipelines.
  • Load and manage layers of the Nedbank Data Warehouse, including Data Reservoir, ADW and Enterprise Data Marts.

Required profile

  • Minimum 3 years of experience in data engineering.
  • Experience with credit risk systems (mandatory).
  • Proven ability to design and maintain data warehouses and data lakes.
  • Strong programming background in SAS, Java and Python.
  • Advanced SQL skills across Oracle, SQL Server and NoSQL databases.

Required skills

  • Hadoop, Kafka, IBM Infosphere Data Replication.
  • Azure Data Factory, Azure Databricks.
  • Python, Java, SAS.
  • SQL (Oracle, SQL Server, NoSQL).
  • CI/CD and DevOps tools: GitLab CI, GitOps, Docker, Kubernetes (EKS), Microservices.
  • Infrastructure as Code: AWS CDK, Terraform.
  • Observability: Prometheus, Grafana, Loki, Tempo, OpenTelemetry.
  • Cloud platforms: AWS, Azure (preferred), GCP.
  • API development and testing: REST, Postman, Swagger.
  • Basic AI/ML tools: PyTorch, TensorFlow, MLFlow, computer vision, NLP.

What we offer

  • 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.

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Published 11 hours ago

Expires 1 month from now

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Nedbank

Johannesburg