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Join to apply for theManager Data Engineeringrole atLexisNexis Legal & Professional Inc. 3 days ago Be among the first 25 applicants Join to apply for theManager Data Engineeringrole atLexisNexis Legal & Professional Inc. Get AI-powered advice on this job and more exclusive features. Direct message the job poster from LexisNexis Legal & Professional Inc. Would you like to ensure the successful delivery of Data Platform and Software Innovations? Do you enjoy creating a collaborative and customer-focused working environment? About the Team : LexisNexis Intellectual Property, which serves customers in more than 150 countries with 11,300 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. About the Role : At LexisNexis Intellectual Property (LNIP), our mission is to bring clarity to innovation by delivering better outcomes to the innovation community. We help innovators make more informed decisions, be more productive, and ultimately achieve superior results. By helping our customers achieve their goals, we support the development of new technologies and processes that ultimately advance humanity. As the Manager of Data Engineering at LexisNexis Intellectual Property (LNIP),you will lead and grow high-performing engineering teams responsible for delivering robust, scalable data solutions. You will provide both technical and strategic leadership - guiding development practices, overseeing project timelines and resource allocation, and ensuring high-quality, reliable delivery. You’ll work closely with cross-functional teams, including product, architecture, and analytics, to ensure technical execution is aligned with business priorities. Your leadership will be instrumental in driving platform evolution, enabling downstream use cases, and fostering a culture of accountability, adaptability, and engineering excellence. Key Responsibilities: Champion platform-first thinking to minimise duplication, improve scalability, and support long-term growth. Communicate proactively and transparently with stakeholders to provide updates, surface risks, and align on direction. Proactively manage team capacity by identifying future resourcing needs, shaping team structure, and partnering with hiring teams to plan. Lead and develop high-performing data engineering teams through coaching, clear goal-setting, and regular feedback. Provide technical and strategic direction to enable the delivery of scalable solutions to complex business problems. Own the planning, execution, and delivery of data engineering projects, ensuring high-quality, production-ready outcomes. Collaborate cross-functionally with product, architecture, and analytics teams to align delivery with business priorities. Ensure people-related processes (e.g., onboarding, remote work, probation) are managed in line with HR and compliance expectations. Foster a culture of continuous improvement through retrospectives, root cause analysis, and data-informed decisions. Requirements: Hands-on experience within a software development environment. Proven track record of managing and scaling high-performing data engineering teams. Demonstrated experience in coaching and mentoring teams in software development best practices. Strong knowledge of Agile development methodologies, including CI/CD, iterative delivery, and process optimisation. Experience designing, building, and operating large-scale data platforms supporting end-user products, analytics, and BI use cases via ETL processes. Ability to articulate system architecture and identify gaps between current and target states. Experience leading global development teams across multiple time zones. Ability to foster a collaborative learning environment that encourages continuous improvement and knowledge sharing. Nice to Have: Familiarity with technologies such as Elasticsearch, Solr, PostgreSQL, Databricks, Delta Share, and Delta Lake. Experience working with complex patent and litigation data models. Exposure to external data sources such as DocDB, Espacenet, and USPTO. Proficiency with Pandas and PySpark. Knowledge of software engineering best practices and development lifecycle. Experience with API design, integration, and management. Why 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 you : We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work during the day to help you fit everything in and work when you are the most productive. Working for you : We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days. Health screening, eye care vouchers and private medical benefits Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme. Travel Season ticket loan. Electric Vehicle Scheme Maternity, paternity, and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you. Access to employee resource groups with dedicated time to volunteer. Access to extensive learning and development resources Access to the employee discounts scheme via Perks at Work About LexisNexis Intellectual Property (LNIP) : At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavours to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy and at a speed that is just not possible by traditional methods. Our overall success is measured by how well we deliver these results. 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