Senior Data Engineer I-Search and AI Platform
RELXLondon, England, United Kingdom
Posted March 4, 2026
Full Time
About the Company
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 us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate. RELX serves customers in more than 180 countries and has offices in about 40 countries. It employs more than 36,000 people over 40% of whom are in North America. ____ Please note that RELX does not contact people through social media to extend job or contract offers, nor do we request money, credit card details or bank account information as part of any project or job application process. Any such request is fraudulent. Please contact your local law enforcement agency if you have been victimized by a scammer. For careers, access https://www.relx.com/careers/why-relx
Job Description
Senior Data Engineer to design, build, and run reliable data pipelines and services for large-scale search and analytics use cases, working with Python, Java, Spark, SQL, and Airflow, with a focus on cloud-based systems and collaboration with product, platform, and data science partners.
Requirements
- Experience working as a data or software engineer on production systems
- Strong skills in Python and experience with at least one backend language (such as Java)
- Understanding of data engineering concepts such as data lakes, batch processing, and distributed systems
- Experience building or operating data pipelines using tools like Spark and Airflow
- Familiarity with cloud platforms (AWS preferred) and production monitoring
- Clear communication skills and a collaborative approach to problem-solving
Benefits
- Comprehensive Pension Plan
- Home, office, or commuting allowance
- Generous vacation entitlement and option for sabbatical leave
- Maternity, Paternity, Adoption and Family Care leave
- Flexible working hours
- Personal Choice budget
- Internal communities and networks
- Various employee discounts
- Recruitment introduction reward
- Employee Assistance Program (global)
