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 work involves collaboration across technical and business teams and encourages the thoughtful 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.
• Work with technical and business partners to understand data needs and translate them into clear, practical solutions.
• Document data requirements and contribute to specifications for analytics and AI‑enabled workflows.
• Troubleshoot and resolve data issues by identifying root causes and applying appropriate automation or tooling.
• Identify opportunities to improve efficiency through automation, orchestration, or AI‑assisted processes.
• Collaborate with cross‑functional teams to deliver reliable, well‑governed data solutions.
• 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.

Skills and Experience

• Experience in data engineering, data management, or a related technical field.
• Ability to work with data modeling, file management, and data transformation processes.
• Experience with one or more programming or scripting languages such as Python, SQL, Java, or similar.
• Familiarity with data platforms or cloud services (for example, AWS, Azure, GCP, Redshift, or Teradata).
• Experience with ETL/ELT tools or workflow orchestration (such as Airflow or dbt) is a plus.
• Understanding of version control, testing, and basic software development practices.
• Strong problem‑solving skills and a collaborative communication style.
• Interest in or exposure to AI, machine learning, or data automation concepts is helpful but not required.
• Experience with data visualization tools (such as Tableau or similar) is a plus.
• A bachelor’s degree in a related field or equivalent practical experience. We welcome candidates with non‑traditional 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