Global Data Engineer – AI-Ready Pipelines & Analytics

LexisNexis (Proprietary) Limited Company; Johannesburg; On-site; ZAR 900,000 - 1,300,000; Full time

Job summary

LexisNexis Legal & Professional seeks a Data Engineer to design, build, and maintain scalable data pipelines supporting analytics and AI use cases. You will write high-quality, tested code and collaborate with partners to turn data needs into practical solutions.

The role emphasizes SQL expertise, data modeling, and exposure to cloud services, with a focus on reliability, automation, and AI readiness.

Qualifications

• Bachelor's degree or equivalent practical experience.
• Strong SQL with complex queries and performance tuning.
• Experience with data modeling, file management, and data transformation workflows.
• Knowledge of at least one programming language (Python/Java).
• Experience with databases, data platforms, or cloud services (AWS/Azure/GCP).
• Familiarity with version control, testing, and software development practices.
• Exposure to AI, machine learning, or data automation tools.

Responsibilities

• Design, build, and maintain scalable data pipelines for analytics and AI use cases.
• Develop high-quality, well-tested code following best practices.
• Query, transform, validate, and optimize data across systems using SQL.
• Collaborate with partners to translate data needs into solutions.
• Document data requirements and contribute to analytics/AI workflow specifications.
• Troubleshoot data issues with root cause analysis and automation.

Skills

SQL expertise

Data pipelines

Code quality

Communication

AI readiness

Problem solving

Education

Bachelor's degree in Computer Science

Bachelor's degree in related field

Tools

SQL

Python

ETL tools

Cloud platforms

Git

Job description

LexisNexis Legal & Professional seeks a Data Engineer to design, build, and maintain scalable data pipelines supporting analytics and AI use cases. You will write high-quality, tested code and collaborate with partners to turn data needs into practical solutions.

The role emphasizes SQL expertise, data modeling, and exposure to cloud services, with a focus on reliability, automation, and AI readiness.