OverviewJoin to apply for the Data Engineer II role at LexisNexis.Data Engineer – II – Would you like to ensure the successful delivery of the Data Platform and Software Innovations? Do you enjoy creating a collaborative and customer-focused working environment?About TeamLexisNexis Intellectual Property (LNIP) serves customers in more than 150 countries with 11,300 employees worldwide and is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers.About RoleAs a Data Engineer at LexisNexis Intellectual Property (LNIP), you’ll contribute to building and maintaining our next-generation Strategic Data Platform. This platform ingests, enriches, and transforms global patent and IP-related data to power products like PatentSight+, as well as a growing ecosystem of internal tools and customer-facing solutions. In this early-career role, you will collaborate with senior engineers and technical leads to design robust data pipelines, apply engineering best practices, and support the delivery of high-quality data through modern platforms such as Databricks, APIs, and event-driven systems. You’ll gain practical experience working at scale while contributing to the delivery of data directly to customers and systems across the organisation.Key ResponsibilitiesContributing to the development and maintenance of data pipelines using Python, PySpark, and DatabricksSupporting the delivery of enriched datasets to customers via Databricks, RESTful APIs, and event-driven delivery mechanisms (e.g., Kafka or similar)Assisting in data ingestion, transformation, and enrichment across the medallion architecture (bronze → silver → gold)Collaborating with cross-functional teams, including engineers, data analysts, and product managersParticipating in code reviews, unit testing, and documentation to ensure high code quality and maintainabilityTroubleshooting and debugging data issues across development and production environmentsFollowing and contributing to internal best practices around data engineering and software developmentContinuously developing technical skills and understanding of the business domainRequirementsHands-on experience in a software/data engineering roleProficiency in Python and working knowledge of PySpark or similar distributed data frameworksFamiliarity with Databricks or a strong interest in learning and working with the platformUnderstanding of data delivery patterns, including REST APIs and event-driven architecturesExperience with SQL and structured data manipulationFamiliarity with version control systems (e.g., Git)Strong problem-solving mindset and willingness to learn from feedbackGood communication skills and ability to work in a team settingNice To HaveExposure to cloud platforms like AWS, Azure, or GCPExperience working with large-scale or open datasetsFamiliarity with medallion architecture or similar data lake patternsUnderstanding of data quality principles and CI/CD pipelines for data workflowsWhy Join Us?Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply.Work in a way that works for youWe promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people, with wellbeing initiatives, parental leave, study assistance and sabbaticals to help you meet your responsibilities and long-term goals.BenefitsGenerous holiday allowance with the option to buy additional daysHealth screening, eye care vouchers and private medical benefitsWellbeing programsLife assuranceAccess to a competitive contributory pension schemeSave As You Earn share option schemeTravel Season ticket loanElectric Vehicle SchemeOptional Dental InsuranceMaternity, paternity, and shared parental leaveEmployee Assistance ProgrammeAccess to emergency care for both the elderly and childrenRECARES days to support charities and causes you care aboutAccess to employee resource groups with time to volunteerAccess to extensive learning and development resourcesAccess to the employee discounts scheme via Perks at WorkAbout BusinessAt LexisNexis Intellectual Property (LNIP), we support innovators in their endeavours to better humankind by helping them make informed decisions, be more productive, comply with regulations, and achieve superior results. We leverage machine learning and expert analysis to disrupt how actionable insight is extracted from patent data, delivering results efficiently and accurately.Seniorities & EmploymentSeniority level: Entry levelEmployment type: Full-timeJob function: Information TechnologyIndustries: IT Services and IT ConsultingReferrals increase your chances of interviewing at LexisNexis. Get notified about new Data Engineer jobs in London, England, United Kingdom. #J-18808-Ljbffr