Senior Analytics Engineer

Carbon Data Solutions; South Africa; Vor Ort; ZAR 900.000 - 1.300.000; Vollzeit

Zusammenfassung

LexisNexis Legal & Professional® is seeking a Data Engineer to support Global Operations by designing, building, and maintaining reliable data pipelines and platforms. The role focuses on high‑quality analytics and AI‑ready data, with emphasis on automation, performance, and scalability, while collaborating closely with technical and business partners.

You will contribute to AI‑enabled workflows, ensure data quality, and stay current with evolving data engineering practices to enable informed

Qualifikationen

• Professional experience in data engineering or a related technical role.

Aufgaben

• Design, build, and maintain scalable data pipelines.

Kenntnisse

SQL expertise

Data modeling

Data pipelines

Programming (Python/Java)

Data validation

Documentation

Version control

Tools

AWS

Azure

GCP

Redshift

Teradata

Jobbeschreibung

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 RoleThis 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,