Data Engineer II
 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 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
 
- 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.
 
- 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.
 
- 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
 
- Company
 - Disability Solutions
 - Location
 - London, UK
 - Posted
 
- Company
 - Disability Solutions
 - Location
 - London, UK
 - Posted