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- Tasks: Design and implement scalable data pipelines while mentoring junior engineers.
- Company: Join LexisNexis Intellectual Property, a leader in data analytics and innovation.
- Benefits: Enjoy generous holidays, health benefits, flexible hours, and professional development opportunities.
- Why this job: Make a real impact on innovative data solutions that shape the future of technology.
- Qualifications: Experience in data engineering with strong Python and Databricks skills.
- Other info: Collaborative culture with a focus on work/life balance and career growth.
The predicted salary is between 36000 - 60000 £ per year.
Senior Data Engineer
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 Senior Data Engineer at LexisNexis Intellectual Property (LNIP), you will play a key role in delivering high-quality, scalable data solutions that power our Strategic Data Platform — the backbone for products like PatentSight+ and other analytics offerings.
In this role, you will not only design and implement robust data pipelines but also mentor junior team members, drive engineering best practices, and support the delivery of customer-facing datasets via Databricks, APIs, and event-driven systems. You\’ll take ownership of complex engineering tasks, contribute to architectural decisions, and collaborate with stakeholders across engineering, product, and domain teams.
Key Responsibilities
- Design, implement, and optimise scalable data pipelines using Python, PySpark, and Databricks
- Drive the delivery of customer-facing data products through APIs, Databricks-based sharing, and event-driven mechanisms (e.g., Kafka or similar)
- Take ownership of end-to-end features — from scoping and development to deployment and monitoring
- Lead and participate in technical design discussions, contributing to architectural improvements and long-term data strategy
- Actively mentor and coach junior engineers, supporting their technical and professional development
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
- Conduct peer code reviews, uphold code quality standards, and champion continuous improvement practices
- Help maintain data quality, reliability, and observability across pipelines
- Contribute to the team’s agile delivery process and provide input during planning and retrospectives
Requirements
- Good experience in data engineering or backend software engineering with a data focus
- Strong proficiency in Python, PySpark, and working within Databricks environments
- Hands-on experience designing and delivering data products via REST APIs, event-driven systems, or data sharing platforms like Databricks Delta Sharing
- Solid understanding of distributed data processing, ETL/ELT workflows, and data lake/lakehouse architectures
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and modern data tooling
- A track record of mentoring or coaching other engineers
- Strong communication and collaboration skills, including the ability to explain complex concepts to non-technical stakeholders
- Familiarity with agile development practices.
Nice to Have
- Experience working with patent data, legal data, or other structured open data sources
- Exposure to tools like Airflow, dbt, or CI/CD pipelines for data workflows
- Understanding of data governance, quality frameworks, and observability tools
- Contributions to engineering documentation or internal knowledge sharing
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 organization. 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.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
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Please read our Candidate Privacy Policy.
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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Senior Data Engineer I employer: LexisNexis
Contact Detail:
LexisNexis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer I
✨Tip Number 1
Network like a pro! Reach out to current employees at LexisNexis on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your data engineering projects. This is your chance to demonstrate your expertise in Python, PySpark, and Databricks.
✨Tip Number 3
Ace the interview by practising common technical questions and scenarios related to data pipelines and APIs. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our awesome team at LexisNexis.
We think you need these skills to ace Senior Data Engineer I
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Data Engineer role. Highlight your experience with Python, PySpark, and Databricks, and show how your skills align with our needs at LexisNexis Intellectual Property.
Showcase Your Projects: Include specific examples of data pipelines or projects you've worked on. We love seeing how you've tackled complex engineering tasks and contributed to architectural decisions, so don’t hold back!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain your technical skills and experiences, making it easy for us to see how you can contribute to our team.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at LexisNexis
✨Know Your Tech Stack
Make sure you’re well-versed in Python, PySpark, and Databricks. Brush up on your knowledge of designing scalable data pipelines and be ready to discuss your past experiences with these technologies. Being able to articulate how you've used them in real-world scenarios will impress the interviewers.
✨Showcase Your Mentoring Skills
As a Senior Data Engineer, mentoring junior team members is key. Prepare examples of how you've supported others in their development. Highlight specific instances where your guidance led to successful outcomes, as this demonstrates your leadership potential.
✨Understand the Business Context
Familiarise yourself with LexisNexis Intellectual Property and its products. Be prepared to discuss how your role as a Data Engineer can contribute to their mission of supporting innovators. This shows that you’re not just technically skilled but also aligned with the company’s goals.
✨Prepare for Technical Discussions
Expect to engage in technical design discussions during the interview. Brush up on your architectural knowledge and be ready to share your thoughts on best practices in data engineering. This will demonstrate your ability to think critically and contribute to long-term data strategies.
