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Über diese Sr. Data Engineer Stelle bei RELX

RELX · Vor Ort · North Carolina

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 position provides assistance and input to management, develops and leads large multi-functional development activities, solves complex technical problems, writes complex code for computer systems, and serves as a senior source of expertise. The position may also provide sizing or budget recommendations to management.

Accountabilities:


  • Business & Product Leadership; Partner with cross-functional stakeholders to deliver analytics and technology solutions that support business goals. Prioritize the team roadmap, drive data-informed decision-making, communicate progress and recommendations to leadership, and ensure compliance with security, governance, and regulatory standards. Define and measure success through business impact, solution quality, and user adoption.
  • Data & Platform Management: Lead the development and maintenance of scalable data, analytics, and automation solutions. Ensure data quality, platform reliability, operational excellence, and efficient use of cloud and technology resources while promoting modern engineering practices and automation.
  • People Leadership & Execution: Recruit, mentor, and develop technical teams across analytics and data disciplines. Manage resources, budgets, priorities, and delivery risks while fostering accountability, collaboration, continuous improvement, and high-quality execution. Provide technical leadership, support strategic planning, and serve as a subject-matter expert within the organization.

Required Qualifications:


  • Bachelor's or advanced degree in Computer Science, Engineering, Data Science, Statistics, or a related field, or equivalent practical experience.
  • Significant professional experience in one or more of: data engineering; data science or machine learning; business intelligence or advanced analytics; or DevOps, DataOps, MLOps, or cloud-platform engineering.
  • Experience leading technical teams and managing people, capacity, and delivery while remaining hands-on technically.
  • Strong proficiency in SQL and at least one programming language, such as Python.
  • Experience designing and operating production-grade data, analytics, ML, or cloud-platform solutions.
  • Hands-on experience deploying AI solutions in production, including generative AI and LLM applications using patterns such as RAG, embeddings, vector databases, fine-tuning, and agentic workflows.
  • Experience with AI/ML frameworks and platforms (e.g., PyTorch, Hugging Face, LangChain, Amazon Bedrock, Azure OpenAI, Vertex AI).
  • Experience evaluating and monitoring AI systems for performance, quality, drift, latency, and cost, guided by responsible AI practices.
  • Ability to identify high-value AI use cases and deliver measurable business outcomes.
  • Working knowledge of cloud platforms, data warehouses or lakehouses, orchestration, CI/CD, and monitoring tools.
  • Strong understanding of data quality, governance, security, scalability, and reliability.
  • Proven ability to manage multiple initiatives and competing priorities in a changing environment.
  • Strong communication skills and the ability to collaborate with technical teams, business stakeholders, and senior leadership.

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.


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.

U.S. National Base Pay Range: $95,300 - $158,800. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus.

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.

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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Wie sich dieses Gehalt für Data Engineer vergleicht

Diese Stelle zahlt $127,050/yr — im Einklang mit der üblichen Spanne für Data Engineer Stellen.

$99,872 dem Median $144,566 $180,350

Übliche Spanne $120,425–$161,500/yr, aus 56 vergleichbaren Data Engineer Anzeigen auf JobsRadar (Vergütung auf USD hochgerechnet). Gehaltseinblicke für Data Engineer ansehen →

Über RELX

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. Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions. Our purpose guides our actions beyond the products that we develop. It defines u

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