AI-Ready Data Engineer for Global Ops | Flexible Hours

Spatialedge; South Africa; On-site; ZAR 600,000 - 900,000; Full time

Job summary

LexisNexis Legal & Professional is seeking a Data Engineer to design and maintain scalable data pipelines and platforms that enable AI-ready analytics. You will write high-quality code, utilize SQL to transform data, and partner with technical and business teams to deliver practical data solutions.

You will contribute to data requirements, document data workflows, and champion automation and data quality across the organization.

Qualifications

• Professional experience in data engineering, data management, or a related technical role.
• Strong, hands‑on SQL expertise required, including writing complex queries, performance tuning, and data validation.
• Experience with data modeling, file management, and data transformation workflows.
• Working knowledge of at least one additional programming or scripting language (such as Python, Java, or similar).
• Experience with databases, data platforms, or cloud services (for example, AWS, Azure, GCP, Redshift, or Teradata).
• Familiarity with version control, testing, and core software development practices.
• Strong problem‑solving skills and clear, collaborative communication.
• Experience with ETL/ELT processes or general workflow orchestration concepts.
• Exposure to AI, machine learning, or data automation tools and practices.
• Experience with data visualization tools (such as Tableau or similar).

Responsibilities

• Design, build, and maintain scalable data pipelines and integrations that support analytics and AI use cases.
• Develop high-quality, well-tested code that follows best practices for readability, security, and maintainability.
• Use SQL as a primary tool to query, transform, validate, and optimize data across systems.
• Collaborate with technical and business partners to understand data needs and translate them into practical data solutions.
• Document data requirements and contribute to specifications for analytics and AI-enabled workflows.
• Troubleshoot and resolve data issues through root cause analysis and appropriate automation or tooling.
• Identify opportunities to improve efficiency through automation, orchestration, or AI-assisted processes.
• Participate in code reviews and development processes that promote reproducibility, transparency, and data quality.

Skills

SQL expertise

Data modeling

Python

Java

AWS

Azure

GCP

Redshift

Teradata

Version control

ETL/ELT

AI/ML exposure

Data visualization

Tableau

Tools

Tableau

AWS

Azure

GCP

Redshift

Teradata

Job description

LexisNexis Legal & Professional is seeking a Data Engineer to design and maintain scalable data pipelines and platforms that enable AI-ready analytics. You will write high-quality code, utilize SQL to transform data, and partner with technical and business teams to deliver practical data solutions.

You will contribute to data requirements, document data workflows, and champion automation and data quality across the organization.