Intermediate Data Engineer
6 days ago
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 Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case.
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:
Have hands-on experience in a software/data engineering role.
Be proficient in Python and working knowledge of PySpark or similar distributed data frameworks.
Be familiar with Databricks or a strong interest in learning and working with the platform.
Have an understanding of data delivery patterns, including REST APIs and event-driven architectures.
Have experience with SQL and structured data manipulation.
Be familiar with version control systems (e.g., Git).
Have a solid problem-solving mindset and willingness to learn from feedback.
Have good communication skills and an ability to work in a team setting.
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:
• Medical Aid
• Retirement Plan inclusive of Risk Benefits (Disability, Critical Illness, Life Cover & Funeral Cover)
• Modern family benefits, including adoption and surrogacy
• Study Leave
About the Business
LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services.
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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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