Jobs at RELX

Partners with senior leaders across Operations and Global Functions to manage budgets, forecasts, costs, performance analysis, business cases, and financial controls. Translates operational and financial data into recommendations, models transformation and AI-enabled workflow impacts, identifies productivity opportunities, and drives accountability for risks, opportunities, and financial outcomes.

Develop and design complex software across multiple systems, provide architectural and coding expertise, resolve complex defects, and translate customer needs into technical solutions. The role leads technical collaboration with internal and external teams, contributes to specifications and project planning, mentors developers, and builds Java and React applications using AWS cloud services. Responsibilities also include payment-service integration, security vulnerability remediation, testing, optimization, troubleshooting, risk assessment, and stakeholder communication.

Lead digital marketing for scientific journals and conferences, managing email campaigns, webpages, websites, marketing tools, analytics, testing, workflow improvements, and stakeholder escalations. The role supports e-marketing delivery, advises on web marketing best practices, evaluates emerging technologies, and coaches nontechnical colleagues while meeting quality standards and SLAs.

Designs and implements taxonomy and ontology linking, alignment, and semantic data models. Maintains controlled vocabularies using SKOS, SKOS-XL, and OWL; queries semantic data with SPARQL; integrates systems through REST APIs; and develops Python tools for modeling and integration workflows. Collaborates with stakeholders to translate data needs into semantic solutions and may mentor engineers. Preferred experience includes large-scale ontology alignment, Git, AWS services, CI/CD automation, SHACL, and Life Sciences.

Designs and delivers scalable, secure, distributed multi-tenant software systems across multiple services. Owns end-to-end technical delivery, translates complex business requirements into pragmatic solutions, drives coding and testing standards, and supports reliability, monitoring, and incident management. Collaborates with product and global stakeholders, identifies delivery risks, mentors engineers, and contributes to engineering excellence, operational performance, and architectural decisions.

Designs, delivers, and evolves scalable sales and marketing data platforms, pipelines, and warehouse solutions. Leads Snowflake and dbt development, data modeling, performance, observability, reliability, CI/CD, testing, and DevSecOps practices. Owns complex initiatives through production, mentors engineers, partners with product and analytics stakeholders, leads incident investigations, and evaluates AI-assisted engineering technologies.

Administer and optimize Docebo as the primary technical steward, providing platform support, troubleshooting, configuration, integrations, identity provisioning, automation, documentation, governance, and rollout support. The role partners with Salesforce, HR, security, and technology teams to maintain data integrity, improve reliability, support sales enablement adoption, and scale reusable implementation patterns across global business teams.

Develops, maintains, and supports software solutions for ICIS products and services. Responsibilities include troubleshooting customer issues, contributing to product planning and estimation, supporting other teams, participating in knowledge sharing, and driving continuous improvement. The role requires strong C# and .NET expertise, familiarity with React, TypeScript, micro frontends, Docker, MongoDB, AWS, Python, GitHub, CI pipelines, and Agile development.

Develop scalable aviation analytics software and data solutions using Python, SQL, PySpark, Snowflake, and AWS. Responsibilities include designing complex system components and data models, resolving bugs, reviewing code, applying Agile or Waterfall practices, collaborating with stakeholders, and mentoring junior engineers. The role also involves optimizing data workflows, supporting machine learning or statistical analysis, and influencing technical direction.

Develop and maintain enterprise Power BI reports, dashboards, semantic models, and data integrations. Responsibilities include advanced DAX and Power Query development, SQL troubleshooting, performance optimization, security, refreshes, gateways, deployment pipelines, and Microsoft Fabric capacity management. The role collaborates with stakeholders, data engineers, and support teams; documents solutions; resolves production issues; and promotes reporting standards and best practices.

Performs manual regression, functional, and end-to-end testing for Salesforce-based products and services. The role manages assigned sprint work, collaborates with technical and non-technical teams, participates in Agile ceremonies, and applies quality engineering methodologies across the SDLC and STLC. It emphasizes automation testing while requiring strong communication, analytical skills, attention to detail, and familiarity with Jira, Confluence, and collaboration tools.

Develop and govern enterprise Salesforce solutions across Service Cloud and Experience Cloud, including Apex, LWC, integrations, data models, automation, and AI-powered Agentforce and Einstein capabilities. Translate stakeholder requirements into scalable designs, resolve complex technical issues, enforce development and compliance standards, and mentor junior engineers. Support testing, release management, platform research, and integrations with adjacent sales technology systems.

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.

Analyze and improve Salesforce Service Cloud and Experience Cloud processes, gather requirements, create user stories and acceptance criteria, and support agile delivery. Identify and evaluate AI and automation opportunities using Agentforce, Einstein, chatbots, and generative AI. Facilitate workshops, document processes, assess technical and business solutions, collaborate with development and QA teams, and advise senior stakeholders on responsible AI adoption.

Develops and maintains Salesforce solutions focused on Service Cloud, Experience Cloud, and AI-powered service capabilities. Responsibilities include designing Apex, Lightning Web Components, Flows, integrations, portals, and automation; implementing testing and governance practices; resolving technical issues; supporting release management; and collaborating with analysts, product owners, DevOps teams, and vendors. The role also evaluates Salesforce AI features such as Agentforce and Einstein to improve case management, self-service, and agent productivity.

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.

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, 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.