Senior Software Engineer - Data Pipelines & AI-Driven Systems

RELX International

Wes-Kaap

On-site

ZAR 900,000 - 1,300,000

Full time

14 days+

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Job summary

LexisNexis Intellectual Property Solutions in South Africa is seeking a Senior Software Engineer to lead the design, development, and operation of scalable data platforms powering critical business outcomes. You will mentor engineers, collaborate with data analysts and scientists, and drive AI-assisted development practices to deliver reliable, high-impact data services.

This role blends deep engineering fundamentals with modern tooling to advance data-driven innovation across the business.

Qualifications

  • Strong Python expertise for building scalable data platforms.
  • Advanced SQL skills and data modeling for large datasets.
  • Experience API development and data tooling (FastAPI, SQLAlchemy).
  • Experience mentoring engineers and leading technical initiatives.

Responsibilities

  • Lead design, build, and maintenance of data pipelines and backend services.
  • Write efficient SQL for ETL and data analysis; set schema standards.
  • Develop APIs and services (FastAPI/SQLAlchemy) to expose data.
  • Own data systems architecture and ensure scalability and reliability.
  • Collaborate with analysts, data scientists, and engineers on needs.
  • Oversee infrastructure for data workloads (containers, orchestration, provisioning).
  • Monitor and improve performance; coordinate incident response.
  • Mentor engineers, lead code reviews, and raise the team's technical bar.

Skills

Python
SQL
APIs
Databricks
Terraform
Data engineering
Mentoring
Architecture decisions
Leadership
Collaborative teamwork

Tools

FastAPI
SQLAlchemy

Job description

LexisNexis Intellectual Property Solutions in South Africa is seeking a Senior Software Engineer to lead the design, development, and operation of scalable data platforms powering critical business outcomes. You will mentor engineers, collaborate with data analysts and scientists, and drive AI-assisted development practices to deliver reliable, high-impact data services.

This role blends deep engineering fundamentals with modern tooling to advance data-driven innovation across the business.

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