Senior Data Platform Engineer — Lead AI-Driven Pipelines

Dijkstrack Ltd.

South Africa

On-site

ZAR 900,000 - 1,500,000

Full time

4 days ago
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Job summary

LexisNexis Intellectual Property Solutions in Gauteng seeks a Senior Software Engineer to lead the design, development, and operation of scalable data platforms and backend services. You will collaborate with analysts, data scientists, and engineers, mentoring peers and applying AI-assisted development practices.

The role emphasizes reliability, impact, and working within a team delivering data-driven solutions for innovative clients.

Qualifications

  • Deep proficiency in Python for building applications, pipelines, or services at scale.
  • Strong SQL skills, designing schemas, and optimizing for large datasets.
  • Experience in data engineering or backend engineering, owning systems end-to-end.
  • Ability to make architectural and technical trade-offs.
  • Experience mentoring engineers and leading technical initiatives.

Responsibilities

  • Lead the design, build, and maintenance of data pipelines and backend services using Python.
  • Write efficient, well-structured SQL for data extraction, transformation, and analysis.
  • Develop and maintain APIs and services (e.g. FastAPI/SQLAlchemy) to expose data.
  • Own technical design decisions for data systems balancing scalability, reliability.
  • Collaborate with data analysts, scientists, and engineers to deliver reliable solutions.
  • Drive infrastructure design and upkeep for data workloads (containers, orchestration).
  • Monitor, troubleshoot, and improve performance of data systems; mentor engineers.

Skills

Python
SQL
Backend engineering
Data pipelines
API development
FastAPI
SQLAlchemy
Docker
Kubernetes

Tools

FastAPI
SQLAlchemy
Docker

Job description

LexisNexis Intellectual Property Solutions in Gauteng seeks a Senior Software Engineer to lead the design, development, and operation of scalable data platforms and backend services. You will collaborate with analysts, data scientists, and engineers, mentoring peers and applying AI-assisted development practices.

The role emphasizes reliability, impact, and working within a team delivering data-driven solutions for innovative clients.

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