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RELX

Data Engineer III

LocationJohannesburg HB South Africa; Cape Town; Durban HB South Africa
Typefull-time
SenioritySenior
DepartmentEngineering
Company size10,000+ people
PostedMar 31, 2026 · 6mo ago
Verified live4h ago
At a glanceSummarised by Seekless from the posting.
Must have7
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
Nice to have3
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)
Skills
SQL
Python
Java
AWS
Azure
GCP
Redshift
Teradata
Tableau
Benefits
Health insurance
Paid parental leave
Study assistance
Sabbatical
Flexible hours
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
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.
Hiring process
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Legal
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.
Please read our Candidate Privacy Policy.
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.
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