Senior Lead Data Engineer & Client Solutions Architect

Anonymous; Johannesburg; Hybrid; ZAR 900,000 - 1,080,000; Full time

Benefits offered by this job

Hybrid work model

Professional development

Competitive compensation

Team in Sandton

Job summary

LexisNexis Legal & Professional invites a data engineer to join Global Operations Metrics & Technology Support in Johannesburg, with opportunities in Cape Town and Durban. This full‑time role focuses on building scalable data pipelines to enable analytics and AI initiatives.

You will work with SQL, data modeling, cloud platforms, and ETL/ELT workflows, collaborating across technical and business teams while maintaining high standards of data quality and reproducibility.

Qualifications

• Professional experience in data engineering or related technical role.
• Strong SQL skills with complex queries and validation.
• Experience with data modeling and data transformation workflows.
• Proficiency in Python, Java, or similar.
• Experience with databases, data platforms, or cloud services (AWS/Azure/GCP).
• Familiarity with version control and testing.
• Experience with ETL/ELT processes and workflow orchestration.
• Exposure to AI, ML, or data automation tools.
• Experience with data visualization tools (Tableau or similar).
• Bachelor's degree or equivalent practical experience.

Responsibilities

• Design, build, and maintain scalable data pipelines and integrations.
• Develop high‑quality, well‑tested code for readability, security, and maintainability.
• Use SQL to query, transform, validate, and optimize data across systems.
• Collaborate with technical and business partners on data needs.
• Document data requirements and contribute to analytics specifications.
• Troubleshoot data issues via root cause analysis and automation.
• Identify opportunities to improve efficiency through automation or AI.
• Participate in code reviews and development processes.
• Support database and data flow management for reliability and AI readiness.
• Stay current with evolving data engineering and AI practices.

Skills

SQL

Data modeling

Python/Java

Cloud platforms

Data visualization

ETL/ELT

Version control

AI awareness

Communication

Education

Bachelor's degree or equivalent

Tools

Tableau

AWS

GCP

Azure

Redshift

Teradata

Python

Job description

Company Overview

LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision‑making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services.

Role Overview

Data Engineer – Global Operations Metrics & Technology Support in Johannesburg, Cape Town, Durban. Full‑time. R

Key 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 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.
• Support database and data flow management to ensure systems meet organizational standards for reliability and AI readiness.
• Stay current with evolving data engineering, automation, and AI practices and apply relevant learnings to your work.

Required Skills and Experience

• 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).
• A bachelor's degree in a related field or equivalent practical experience.

Work in a way that works for you

We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long‑term goals.

Benefits

• Competitive salary and comprehensive benefits package.
• Opportunity to work on impactful AI and data initiatives.
• Professional development and continuous learning opportunities.
• Hybrid work model providing flexibility, and work‑life balance.
• Dynamic team environment in the heart of Sandton.

Location

Johannesburg, Cape Town, Durban.

Reference

Reference number for this position: NG60844, permanent, hybrid role offering a salary of up to R1.08mil per hour salary negotiable based on experience.