Data Engineer – I
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 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 Role:
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 key 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 Responsibilities:

• 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

  Requirements:

• 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 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.

Nice to Have:

• 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.

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 in 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
• 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, 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 Business:
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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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
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Key Responsibilities:

• 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 domai

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 in the day to help you fit everything in and work when you are the most productive