Data Engineer III

LexisNexis; Cape Town; On-site; ZAR 600 000 - 900 000; Full time

Job summary

A leading legal information provider is seeking a Data Engineer to support Global Operations by designing and maintaining data pipelines and platforms. This role involves automating data processes and enhancing performance while collaborating with technical and business partners. The ideal candidate will have strong SQL skills and experience with data engineering principles. Competitive benefits and a flexible working environment are offered.

Benefits

Flexible working hours

Well-being initiatives

Study assistance

Sabbaticals

Qualifications

• Professional experience in data engineering, data management, or a related technical role.
• Experience with databases, data platforms, or cloud services.
• Familiarity with version control, testing, and core software development practices.

Responsibilities

• Design, build, and maintain scalable data pipelines and integrations.
• Use SQL to query, transform, validate, and optimize data.
• Collaborate with partners to understand data needs.

Skills

Strong SQL expertise

Problem-solving skills

Collaboration

Data modeling

Experience with ETL/ELT

Education

Bachelor’s degree in a related field or equivalent practical experience

Tools

Tableau

Python

AWS

Azure

GCP

Job description

Data Engineer – Global Operations Metrics & Technology Support

About the Business

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.

About the Role

This role supports Global Operations by designing, building, and maintaining reliable data pipelines and platforms. You will enable high‑quality analytics and AI‑ready data while improving automation, performance, and scalability. The role involves close collaboration with technical and business partners and encourages the responsible use of AI‑assisted engineering practices.

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 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.
• 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. We welcome candidates from non‑traditional educational and career paths.

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.

Working Pattern

Working flexible hours – flexing the times when you work in the day to help you fit everything in and work when you are the most productive.

Benefits

We know your well‑being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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