14 days ago
United Kingdom (city not specified)Mid Level
Responsibilities
- Own assigned data transfers and related collection, transfer, contributor, and customer setup components.
- Collaborate with technical teams and stakeholders to translate data and product requirements into effective solutions.
- Design, develop, test, and maintain efficient and repeatable data engineering solutions.
- Evaluate technical approaches and recommend solutions balancing delivery, data quality, testing, and maintainability.
- Perform data profiling, validation, quality management, and data issue investigation and resolution.
- Troubleshoot data engineering issues, identify root causes, and implement sustainable fixes.
- Identify automation opportunities, including AI-assisted engineering and intelligent automation.
- Contribute to code reviews, technical specifications, database and workflow management, process improvement, and technology adoption.
Requirements
- Experience in Data Management, Data Engineering, or a related technical data role.
- Strong knowledge of data manipulation, profiling, validation, and data quality practices.
- Experience with data models, data requirements, and maintainable data solution design.
- Experience with relevant development technologies such as SQL, Java/J2EE, JavaScript, C/C++, .NET, HTML/XML, HPCC, Windows, or Unix.
- Understanding of software engineering practices including testing, code reviews, maintainability, and development methodologies.
- Strong analytical and problem-solving skills with the ability to assess alternatives and recommend solutions.
- Clear communication skills, attention to detail, and interest in learning and applying new technologies, including AI-assisted engineering and automation.
Benefits
- Country-specific benefits are offered.
- The employer provides an accessible hiring process and accommodations for applicants with disabilities or other needs.
Tech Stack
Categories
Data Engineering
About RELX
RELX provides information-based analytics, research content, and decision tools for scientists, legal and risk professionals, insurers, and governments. Through segments including Elsevier (STM), LexisNexis (legal and risk), and RX (exhibitions), it sells subscriptions, data services, and software platforms used in 180+ countries. Headquartered in London, it is a public company listed in London and Amsterdam.