Lead Data Engineer for Scalable AI-Powered Platforms

Placements24

South Africa

On-site

ZAR 1,000,000 - 1,400,000

Full time

4 days ago
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Benefits offered by this job

Flexible working hours
Wellbeing initiatives
Shared parental leave
Study assistance
Sabbaticals

Job summary

LexisNexis Intellectual Property Solutions in Cape Town, Durban, and Johannesburg seeks a Senior Software Engineer to lead data platform design and operation. You will mentor engineers, shape the Data Engineering function, and apply AI-assisted development practices to deliver scalable, high-impact solutions.

You will collaborate with analysts, data scientists, and engineers to meet data needs, drive best practices, and ensure reliability across data systems and infrastructure.

Qualifications

  • Deep proficiency in Python for building applications, pipelines, or services at scale.
  • Strong SQL skills, writing performant queries, designing schemas, and optimizing for large or complex datasets.
  • Significant experience in a data engineering or backend engineering environment, including owning systems end-to-end.
  • Demonstrated ability to make sound architectural and technical trade-off decisions.
  • Experience mentoring engineers and/or leading technical initiatives.

Responsibilities

  • Lead the design, build, and maintenance of data pipelines and backend services.
  • 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, and maintainability.

Skills

Python
SQL
Data engineering
APIs
AI-assisted development tools

Tools

FastAPI
SQLAlchemy

Job description

LexisNexis Intellectual Property Solutions in Cape Town, Durban, and Johannesburg seeks a Senior Software Engineer to lead data platform design and operation. You will mentor engineers, shape the Data Engineering function, and apply AI-assisted development practices to deliver scalable, high-impact solutions.

You will collaborate with analysts, data scientists, and engineers to meet data needs, drive best practices, and ensure reliability across data systems and infrastructure.

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