Data Engineer

Network Recruitment; Cape Town; On-site; ZAR 900,000 - 1,400,000; Full time

Benefits offered by this job

Remote benefits package

Home office budget

Flexible work hours

Remote-friendly culture

Job summary

LexisNexis Legal & Professional is seeking a Data Engineer to design and maintain scalable data pipelines for Global Operations. You will enable AI‑ready data and high‑quality analytics while improving automation and performance.

You will collaborate with technical and business partners, implement robust data solutions, and contribute to AI‑enabled workflows across platforms and data stores. A bachelor’s degree and strong SQL are required.

Qualifications

• Strong, hands‑on SQL expertise with complex queries and tuning.
• Experience with data modeling, file management, and data transformation workflows.
• Working knowledge of at least one programming language such as Python or Java.
• Experience with databases, data platforms, or cloud services (AWS, Azure, GCP, Redshift, or Teradata).
• Familiarity with version control, testing, and core software development practices.

Responsibilities

• Design, build, and maintain scalable data pipelines and integrations for analytics and AI use cases.
• Develop high‑quality, well‑tested code following best practices for readability and security.
• Query, transform, validate, and optimize data across systems using SQL.
• Collaborate with partners to translate data needs into practical data solutions.
• Document data requirements and contribute to analytics and AI‑enabled workflows.

Skills

SQL expertise

Data engineering

Python/Java

Cloud services

ETL/ELT

Data visualization

Communication

Education

Bachelor's degree in related field

Tools

AWS/Azure/GCP

Redshift/Teradata

Job description

Johannesburg HB South Africa
Cape Town
Durban HB South Africa
Full time
R
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.

Benefits

• Highly competitive salary and comprehensive remote benefits package.
• Generous home office setup budget and ongoing technology support.
• Flexible working hours and the ability to work from anywhere.
• Opportunities to work on transformative data projects in the energy sector.
• A collaborative and forward‑thinking remote work culture.

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. USA Job Seekers: EEO Know Your Rights. RELX is a global provider of information‑based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.