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.
- 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.
- 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.
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.
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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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Skills Required
- Professional experience in data engineering, data management, or a related technical role.
- Strong, hands-on SQL expertise including 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 or Java).
- 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.
- Experience with ETL/ELT processes or workflow orchestration concepts.
- Exposure to AI, machine learning, or data automation tools and practices.
- Experience with data visualization tools (such as Tableau or similar).
- Bachelor's degree in a related field or equivalent practical experience.
RELX Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about RELX and has not been reviewed or approved by RELX.
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Retirement Support — Retirement support is positioned as a meaningful part of total rewards through a 401(k) plan with matching contributions, alongside other financial protections such as life and disability coverage. Tuition reimbursement and share purchase access further broaden the financial value of the package beyond base salary.
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Leave & Time Off Breadth — Leave and time off breadth appears strong, with generous vacation allowances, mental health days, and options like sabbaticals and tiered PTO by tenure. Parental and caregiving leaves are described in detail, reinforcing time-away benefits as a standout component of the overall package.
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Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle benefits are supported by offerings such as mental health support (e.g., app access), EAP resources, gym-related perks, and wellness incentives. Flexible working hours and related work-life supports add to the perceived day-to-day value of benefits.
RELX Insights
What We Do
RELX is a global provider of information-based analytics for professional and business customers across industries. We help scientists make new discoveries, doctors and nurses improve the lives of patients and lawyers win cases. We prevent online fraud and money laundering, and help insurance companies evaluate and predict risk. Our events enable customers to learn about markets, source products and complete transactions. In short, we enable our customers to make better decisions, get better results and be more productive. We do this by leveraging a deep understanding of our customers to create innovative solutions which combine content and data with analytics and technology in global platforms. RELX serves customers in more than 180 countries and has offices in about 40 countries. It employs approximately 30,000 people of whom almost half are in North America. We operate in four major market segments: Scientific, Technical & Medical; Risk & Business Analytics; Legal; and Exhibitions.
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