Senior Data Engineer - End-to-End Data Infra (Hybrid)

E-Merge; Johannesburg; Hybrid; ZAR 800,000 - 1,080,000; Full time

Job summary

E-Merge is seeking a Senior Data Engineer to design, build, and maintain robust ETL pipelines, data models and backend systems that support scalable analytics. You will mentor engineers and collaborate across teams on cloud data infrastructure.

The role emphasizes end-to-end ownership, Python and SQL proficiency, and containerized deployments on AWS/GCP/Azure, with Docker and Kubernetes, CI/CD practices, and RESTful API integration.

Qualifications

• 7+ years of experience as a Data Engineer or similar role.
• Advanced Python for backend development and scripting.
• Strong SQL skills with hands-on experience in relational databases.
• Experience with cloud platforms (AWS, GCP, or Azure).
• Hands-on with containerization technologies (Docker, Kubernetes).
• Solid understanding of RESTful APIs and integration practices.
• Experience with version control and CI/CD workflows.
• Strong grasp of SDLC principles and maintainable code.

Responsibilities

• Design, build, and maintain robust ETL pipelines and backend data solutions.
• Develop data models and backend systems to enable scalable analytics.
• Create and manage data infrastructure on cloud platforms (AWS/GCP/Azure).
• Implement containerized solutions using Docker and Kubernetes.
• Integrate and manage RESTful APIs for data processing and service connectivity.
• Apply CI/CD workflows and version control to ensure deployment quality.
• Collaborate with cross-functional teams to translate requirements into technical solutions.
• Mentor junior engineers and contribute to knowledge sharing.

Job description

E-Merge is seeking a Senior Data Engineer to design, build, and maintain robust ETL pipelines, data models and backend systems that support scalable analytics. You will mentor engineers and collaborate across teams on cloud data infrastructure.

The role emphasizes end-to-end ownership, Python and SQL proficiency, and containerized deployments on AWS/GCP/Azure, with Docker and Kubernetes, CI/CD practices, and RESTful API integration.