Overview

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 design and implement robust data pipelines, mentor junior team members, drive engineering best practices, and support the delivery of customer-facing datasets via Databricks, APIs, and event-driven systems. You will 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? Benefits

• Join a culture of innovation, collaboration, and excellence
• Work in a way that supports work-life balance with flexible hours
• Wellbeing initiatives, shared parental leave, study assistance and sabbaticals
• Generous holiday allowance with 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
• Access to employee resource groups with dedicated volunteering time
• Extensive learning and development resources
• Employee discounts via Perks at Work

About Business

At LexisNexis Intellectual Property (LNIP), we enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and achieve superior results. By combining machine learning with expert analysis, LNIP disrupts how actionable insight is extracted from patent data, delivering information efficiently, accurately, and quickly. Our success is measured by the impact of these results.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology
• Software Development