Data Engineer II

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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?

LexisNexis 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.

As 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.

• Contributing to the development and maintenance of data pipelines using Python, PySpark, and Databricks
• Supporting 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 managers
• Participating in code reviews, unit testing, and documentation to ensure high code quality and maintainability
• Troubleshooting and debugging data issues across development and production environments
• Following and contributing to internal best practices around data engineering and software development
• Continuously developing technical skills and understanding of the business domain

• Hands-on experience in a software/data engineering role
• Proficiency in Python and working knowledge of PySpark or similar distributed data frameworks
• Familiarity with Databricks or a strong interest in learning and working with the platform
• Understanding of data delivery patterns, including REST APIs and event-driven architectures
• Experience with SQL and structured data manipulation
• Familiarity with version control systems (e.g., Git)
• Strong problem-solving mindset and willingness to learn from feedback
• Good communication skills and ability to work in a team setting

• Exposure to cloud platforms like AWS, Azure, or GCP
• Experience working with large-scale or open datasets
• Familiarity with medallion architecture or similar data lake patterns
• Understanding of data quality principles and CI/CD pipelines for data workflows

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.

We 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.

• Generous holiday allowance with the option to buy additional days
• Health screening, eye care vouchers and private medical benefits
• Wellbeing programs
• Life assurance
• Access to a competitive contributory pension scheme
• Save As You Earn share option scheme
• Travel Season ticket loan
• Electric Vehicle Scheme
• Optional Dental Insurance
• Maternity, paternity, and shared parental leave
• Employee Assistance Programme
• Access to emergency care for both the elderly and children
• RECARES days to support charities and causes you care about
• Access to employee resource groups with time to volunteer
• Access to extensive learning and development resources
• Access to the employee discounts scheme via Perks at Work

At 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.

• Seniority level: Entry level
• Employment type: Full-time
• Job function: Information Technology
• Industries: IT Services and IT Consulting

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