Senior Software Engineer, Scalable Data Platforms

Vitality

Johannesburg

On-site

ZAR 1,200,000 - 1,500,000

Full time

4 days ago
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Job summary

LexisNexis Intellectual Property Solutions in Johannesburg Melrose Arch seeks an Engineering Manager to lead the design, development, and operation of scalable data platforms and services. You will mentor engineers, drive AI-assisted development practices, and collaborate with analysts and data scientists to deliver impactful data solutions.

The role focuses on shaping data architecture, ensuring reliability, and delivering high-quality backend systems that power critical business outcomes.

Qualifications

  • Lead the design, development, and operation of scalable data platforms and services.
  • Mentor team members and influence the future direction of Data Engineering.
  • Collaborate with analysts, data scientists, and engineers to translate data needs into reliable solutions.

Responsibilities

  • Lead the design, build, and maintenance of data pipelines and backend services.
  • Write efficient, well-structured SQL for data extraction and analysis; shape schema design.
  • Develop and maintain APIs and services using FastAPI and SQLAlchemy.
  • Own technical design decisions for data systems, balancing scalability and reliability.
  • Collaborate with data analysts, scientists, and engineers to meet data requirements.
  • Drive infrastructure design and upkeep for data workloads (containers, orchestration).
  • Mentor engineers, lead code reviews, and raise the technical bar.

Skills

Data engineering
Python
SQL
API design
Mentoring
Team leadership
AI-assisted development

Tools

FastAPI
SQLAlchemy
Docker
Kubernetes
APIs

Job description

LexisNexis Intellectual Property Solutions in Johannesburg Melrose Arch seeks an Engineering Manager to lead the design, development, and operation of scalable data platforms and services. You will mentor engineers, drive AI-assisted development practices, and collaborate with analysts and data scientists to deliver impactful data solutions.

The role focuses on shaping data architecture, ensuring reliability, and delivering high-quality backend systems that power critical business outcomes.

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