Jobs at RELX

Lead and develop a software engineering team building high-volume production systems. Partner with Engineering, Product, Design, and other stakeholders on roadmaps, architecture, delivery, and technical problem-solving. Mentor direct reports, manage hiring and performance, allocate resources, and ensure engineering standards are followed. Contribute technically when needed while fostering innovation, collaboration, continuous learning, and effective project execution.

Leads quality engineering and testing initiatives, converting manual tests into automated solutions using modern frameworks. Responsibilities include writing maintainable code, contributing to CI/CD pipelines and cloud-native deployments, troubleshooting production issues, performing root cause analysis, reviewing code, improving reliability and security, and mentoring junior engineers. The role requires .NET/C# expertise, automation experience, cloud and containerization knowledge, Agile practices, and strong analytical and collaboration skills.

Lead and mentor a cross-functional development team to design, build, and deliver resilient, scalable full-stack applications. Serve as primary technical contact, solve complex architectural and coding problems, engage with customers and product owners, and drive technical excellence across microservices, frontend-backend integration, and data storage solutions.

Designs, develops, and optimizes scalable ETL/ELT pipelines and data platforms using Azure Data Factory, Databricks, PySpark, Spark SQL, HPCC, and ECL. Ingests and transforms structured and semi-structured data from diverse sources, develops data models and optimized workloads, and collaborates with analysts, data scientists, and application teams to deliver secure, reliable solutions for analytics and operational needs.

Manage and configure Workday Talent and Performance modules, provide Tier III support, oversee performance review and talent processes, and drive system improvements. Partner with HR stakeholders on requirements, testing, reporting, release management, compliance, documentation, and training. Build reports and dashboards, maintain system integrity, analyze enhancements, and support global and local HR technology changes.

Configure, support, and optimize Workday HCM across global and local requirements. Gather HR business needs, build reports and dashboards, manage releases, enhancements, testing, change control, and system integrity. Serve as a functional consultant to stakeholders, support troubleshooting and process improvements, and provide documentation, training, and knowledge transfer to support teams.

Build and maintain scalable data integration systems, including web scrapers, API integrations, automated ingestion workflows, microservices, and backend services. Implement monitoring, logging, alerting, security, and error handling; troubleshoot production issues and optimize performance. Collaborate with product managers, engineers, and stakeholders on technical design, code reviews, documentation, and continuous improvement.

Designs, develops, and optimizes scalable ETL/ELT pipelines and data platforms using Azure Databricks, Data Factory, Spark, PySpark, SQL, and HPCC ECL. Ingests and transforms structured and semi-structured data from multiple sources, builds data models using Delta Lake and Parquet, and improves workload performance. Collaborates with analysts, data scientists, and application teams to deliver secure, reliable solutions for analytics, reporting, and operational needs.

Lead software development for complex, scalable products using Python, AI/LLM tools, RAG pipelines, AWS, and Microsoft SQL Server. Responsibilities include designing, enhancing, and troubleshooting software; resolving customer issues; contributing to planning and estimation; developing reusable components; sharing technical knowledge; mentoring colleagues; and collaborating across teams while applying Agile, Scrum, and security engineering practices.

Develop, maintain, and enhance software solutions in cross-functional teams. Diagnose and resolve complex technical issues, support customer-reported problems, contribute to application design and reusable components, assist with planning and estimation, and mentor colleagues. Build AI-enabled applications using Python, LLM APIs, RAG pipelines, agentic orchestration, and structured extraction. Work with Microsoft SQL Server, AWS cloud services, security engineering principles, and modern software development practices.

Develop, design, and maintain backend services within a squad. Translate requirements into code, perform unit testing, troubleshoot and optimize performance, participate in code reviews, and support cloud-native deployments using containerization, orchestration, CI/CD, and distributed system patterns.

Senior QA Test Engineer responsible for owning test automation strategy and execution across API, app, and UI layers. Develop and maintain automated tests, identify and document defects, collaborate with engineering/product/UX, and ensure security-focused testing including OWASP risks. Participate in planning and daily stand-ups.

Lead development and execution of automated and performance tests. Collaborate with cross-functional teams to plan, report, and resolve defects and performance issues. Improve testing tools, processes, and documentation to ensure timely delivery of high-quality software.

Lead backend design and development of microservices-based systems, collaborate with cross-functional teams, ensure code quality, debug complex issues, mentor engineers, contribute to architecture and data modeling, and drive continuous improvement within Agile environments.

Develop and onboard strategic partners, build partnership pipelines, generate new business opportunities, and support partner-led revenue growth. The role involves stakeholder relationship management, partner enablement, forecasting, reporting, industry events, and collaboration across internal teams. Success is measured by new partner acquisition, pipeline creation, revenue generation, onboarding, engagement, and achievement of business objectives.

Own the Workday HCM product strategy, roadmap, release governance, and adoption programs. Prioritize new functionality and AI capabilities, coordinate release readiness across HR and technology teams, develop business cases, define KPIs, and measure business value. The role partners with HR, analytics, legal, privacy, security, Workday, and other stakeholders to improve employee and manager experiences and guide responsible adoption of emerging capabilities.

Leads a team of scientific data analysts supporting Reaxys, Embase, and future AI-enabled life sciences platforms. Oversees search and API quality, data discoverability, testing, feature releases, quality standards, and customer-focused insights. Uses scientific expertise, Python and Bash scripting, databases, cloud platforms, and AI-enabled testing workflows to improve data integrity and platform performance. Coordinates stakeholders, documents work, presents findings, and drives cross-functional projects.

Designs, develops, maintains, and troubleshoots Workday integrations, reports, dashboards, and security configurations. Supports payroll, benefits, recruiting, financial, time, absence, talent, and performance processes. Translates HR requirements into Workday solutions, manages releases, investigates integration and reporting issues, documents technical processes, and supports SOX audits, access reviews, and change control while collaborating with cross-functional stakeholders and middleware teams.

Leads global Analytical Editorial Operations across a 150-person organization, setting strategy, operating models, budgets, quality standards, and performance measures. Drives GenAI-enabled content transformation, including Agentic Content Platform adoption and automated updating, while improving content currency, retrieval quality, customer outcomes, and operational efficiency. Partners with Product, Technology, Data Science, commercial, and editorial stakeholders; manages authors, vendors, workforce development, organizational change, and financial performance.

Drive full-cycle sales for complex, high-value AI research workspace opportunities. Originate and close new business, support strategic renewals, expand stakeholder relationships, lead value-based workshops, and translate AI and research analytics capabilities into measurable customer outcomes. Engage senior decision-makers across enterprise, government, academic, and research organizations while developing pipelines, territories, business cases, negotiations, and long-term account growth.