Data Engineer - ETL, AWS & AI-Ready Analytics

Boardroom Appointments; Johannesburg; On-site; ZAR 600,000 - 1,000,000; Full time

Job summary

LexisNexis Legal & Professional is seeking a Data Engineer to design, build, and maintain scalable data pipelines and platforms for Global Operations Metrics & Technology Support. You will enable high‑quality analytics and AI‑ready data while improving automation, performance, and scalability.

You will collaborate with technical and business partners to translate data needs into practical solutions, document requirements, and support data-driven initiatives.

Qualifications

• Proficient in SQL for data querying, transformation, validation and optimization.
• Experience building scalable data pipelines and integrations for analytics and AI use cases.
• Strong coding practices focusing on readability, security and maintainability.

Responsibilities

• Design, build, and maintain scalable data pipelines and integrations for analytics and AI use cases.
• Write high-quality, well-tested code following best practices.
• Collaborate with partners to translate data needs into practical solutions.
• Document data requirements and contribute to analytics/AI workflow specs.
• Troubleshoot data issues and automate where possible.
• Improve efficiency via automation and orchestration.

Skills

SQL

Python

ETL

Data modeling

Automation

Tools

Airflow

Spark

Job description

LexisNexis Legal & Professional is seeking a Data Engineer to design, build, and maintain scalable data pipelines and platforms for Global Operations Metrics & Technology Support. You will enable high‑quality analytics and AI‑ready data while improving automation, performance, and scalability.

You will collaborate with technical and business partners to translate data needs into practical solutions, document requirements, and support data-driven initiatives.