Senior AI Data Engineer – Scalable Data Pipelines (Hybrid)

Dariel; South Africa; Hybrid; ZAR 1,000,000 - 1,600,000; Full time

Benefits offered by this job

Hybrid work model

Competitive salary

Professional development

Job summary

LexisNexis Legal & Professional® seeks a senior AI Data Engineer to design and maintain data infrastructure for AI/ML workloads in Sandton. You will build pipelines, ensure data quality, and enable data-driven decision making across analytics teams.

The role emphasizes data governance, compliance, and collaboration with data scientists to translate business questions into actionable data outputs.

Qualifications

• Bachelor's or Master's degree in CS, engineering, or related quantitative field.
• 5+ years in data engineering supporting AI/ML workloads.
• Proficient in SQL, Python, Spark and Hadoop; cloud data services experience.

Responsibilities

• Design, build, and optimize scalable data pipelines for AI/ML projects.
• Implement data warehousing and data lake solutions with data integrity.
• Collaborate with data scientists to deliver robust data solutions.
• Develop data governance policies and ensure privacy compliance.
• Monitor data infrastructure performance and improve reliability.

Skills

5+ years data engineering

SQL

Python

Spark

Hadoop

Education

Bachelor's or Master's in CS/Engineering

Tools

AWS Redshift

Azure Data Lake

Google BigQuery

Job description

LexisNexis Legal & Professional® seeks a senior AI Data Engineer to design and maintain data infrastructure for AI/ML workloads in Sandton. You will build pipelines, ensure data quality, and enable data-driven decision making across analytics teams.

The role emphasizes data governance, compliance, and collaboration with data scientists to translate business questions into actionable data outputs.