Senior Data Engineer I

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 DatabricksDrive 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 monitoringLead and participate in technical design discussions, contributing to architectural improvements and long-term data strategyActively mentor and coach junior engineers, supporting their technical and professional developmentCollaborate with cross-functional teams to understand business requirements and translate them into technical solutionsConduct peer code reviews, uphold code quality standards, and champion continuous improvement practicesHelp maintain data quality, reliability, and observability across pipelinesContribute to the team’s agile delivery process and provide input during planning and retrospectivesRequirements

Good experience in data engineering or backend software engineering with a data focusStrong proficiency in Python, PySpark, and working within Databricks environmentsHands-on experience designing and delivering data products via REST APIs, event-driven systems, or data sharing platforms like Databricks Delta SharingSolid understanding of distributed data processing, ETL/ELT workflows, and data lake/lakehouse architecturesExperience with cloud platforms (e.g., AWS, Azure, GCP) and modern data toolingA track record of mentoring or coaching other engineersStrong communication and collaboration skills, including the ability to explain complex concepts to non-technical stakeholdersFamiliarity with agile development practices.Nice To Have

Experience working with patent data, legal data, or other structured open data sourcesExposure to tools like Airflow, dbt, or CI/CD pipelines for data workflowsUnderstanding of data governance, quality frameworks, and observability toolsContributions to engineering documentation or internal knowledge sharingWhy Join Us? Benefits

Join a culture of innovation, collaboration, and excellenceWork in a way that supports work-life balance with flexible hoursWellbeing initiatives, shared parental leave, study assistance and sabbaticalsGenerous holiday allowance with option to buy additional daysHealth screening, eye care vouchers and private medical benefitsWellbeing programsLife assuranceAccess to a competitive contributory pension schemeSave As You Earn share option schemeTravel Season ticket loanElectric Vehicle SchemeOptional Dental InsuranceMaternity, paternity, and shared parental leaveEmployee Assistance ProgrammeAccess to emergency care for both the elderly and childrenRECARES days to support charities and causesAccess to employee resource groups with dedicated volunteering timeExtensive learning and development resourcesEmployee discounts via Perks at WorkAbout 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 levelEmployment type

Full-timeJob function

Information TechnologySoftware ..... full job details .....