National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Manager Data Engineering

RELX
Greater London
1 week ago
Create job alert

About the Role

At LexisNexis Intellectual Property (LNIP), our mission is to bring clarity to innovation by delivering better outcomes to the innovation community. We help innovators make more informed decisions, be more productive, and ultimately achieve superior results. By helping our customers achieve their goals, we support the development of new technologies and processes that ultimately advance humanity.

As the Manager of Data Engineering at LexisNexis Intellectual Property (LNIP),you will lead and grow high-performing engineering teams responsible for delivering robust, scalable data solutions. You will provide both technical and strategic leadership - guiding development practices, overseeing project timelines and resource allocation, and ensuring high-quality, reliable delivery. You’ll work closely with cross-functional teams, including product, architecture, and analytics, to ensure technical execution is aligned with business priorities. Your leadership will be instrumental in driving platform evolution, enabling downstream use cases, and fostering a culture of accountability, adaptability, and engineering excellence.

Key Responsibilities:

Champion platform-first thinking to minimise duplication, improve scalability, and support long-term growth.

Communicate proactively and transparently with stakeholders to provide updates, surface risks, and align on direction. 

Proactively manage team capacity by identifying future resourcing needs, shaping team structure, and partnering with hiring teams to plan.

Lead and develop high-performing data engineering teams through coaching, clear goal-setting, and regular feedback.

Provide technical and strategic direction to enable the delivery of scalable solutions to complex business problems.

Own the planning, execution, and delivery of data engineering projects, ensuring high-quality, production-ready outcomes.

Collaborate cross-functionally with product, architecture, and analytics teams to align delivery with business priorities.

Ensure people-related processes (e.g., onboarding, remote work, probation) are managed in line with HR and compliance expectations.

Foster a culture of continuous improvement through retrospectives, root cause analysis, and data-informed decisions.

Requirements:

Hands-on experience within a software development environment.

Proven track record of managing and scaling high-performing data engineering teams.

Demonstrated experience in coaching and mentoring teams in software development best practices.

Strong knowledge of Agile development methodologies, including CI/CD, iterative delivery, and process optimisation.

Experience designing, building, and operating large-scale data platforms supporting end-user products, analytics, and BI use cases via ETL processes.

Ability to articulate system architecture and identify gaps between current and target states.

Experience leading global development teams across multiple time zones.

Ability to foster a collaborative learning environment that encourages continuous improvement and knowledge sharing.

Nice to Have:

Familiarity with technologies such as Elasticsearch, Solr, PostgreSQL, Databricks, Delta Share, and Delta Lake.

Experience working with complex patent and litigation data models.

Exposure to external data sources such as DocDB, Espacenet, and USPTO.

Proficiency with Pandas and PySpark.

Knowledge of software engineering best practices and development lifecycle.

Experience with API design, integration, and management.

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 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 during 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


AboutLexisNexis Intellectual Property (LNIP) :

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 or please contact 1-855-833-5120.

Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams.

Please read our .

Related Jobs

View all jobs

Senior Manager, Data Engineering

Engineering Manager - Data Engineering

Senior Manager, Data Engineering

Engineering Manager - Data & AI

Principal Technical Program Manager - Data Engineering

Principal Technical Program Manager - Data Engineering

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs Skills Radar 2026: Emerging Tools, Languages & Platforms to Learn Now

The UK’s data science job market is evolving fast—from forecasting models and AI assistants to real-time decision systems. In 2026, data scientists aren’t just expected to build models—they’re responsible for shaping insights that fuel everything from patient care to predictive banking. Welcome to the Data Science Jobs Skills Radar 2026—your essential annual guide to the languages, tools, and platforms driving demand across the UK. Whether you’re entering the job market or reskilling mid-career, this roadmap helps you prioritise the skills that matter most right now.

How to Find Hidden Data Science Jobs in the UK Using Professional Bodies like the RSS, BCS & More

The data science job market in the UK is thriving—but also increasingly competitive. As organisations in finance, healthcare, retail, government, and tech accelerate digital transformation, the demand for data talent has soared. Yet many of the best data science jobs are never posted publicly. They’re shared behind closed doors—within professional networks, at invite-only events, or through member-only mailing lists and specialist interest groups. These “hidden” roles are often filled through referrals, collaborations, or direct outreach to trusted experts. In this guide, we’ll show you how to unlock these hidden opportunities by engaging with key UK professional bodies such as the Royal Statistical Society (RSS), BCS (The Chartered Institute for IT), and Turing Society, plus communities like PyData and AI UK. You’ll learn how to use directories, CPD events, and networks to move beyond job boards—and into roles where you’re approached, not just applying.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.