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- Tasks: Lead and grow high-performing data engineering teams to deliver scalable data solutions.
- Company: Join LexisNexis Intellectual Property, a leader in innovation and technology.
- Benefits: Enjoy generous holidays, health benefits, flexible working hours, and professional development opportunities.
- Why this job: Make a real impact on innovation while advancing your career in a supportive environment.
- Qualifications: Experience in software development and managing data engineering teams is essential.
- Other info: Be part of a culture that values collaboration, continuous improvement, and work-life balance.
The predicted salary is between 43200 - 72000 £ per year.
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.
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.
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.
Manager Data Engineering in London employer: Butterworths Limited Company
Contact Detail:
Butterworths Limited Company Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Manager Data Engineering in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. A friendly chat can lead to referrals or insider info about job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those that highlight your experience with scalable data solutions. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on Agile methodologies and data platform design. Be ready to discuss how you've led teams and tackled complex problems in previous roles. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about joining our innovative team.
We think you need these skills to ace Manager Data Engineering in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in data engineering and team management. We want to see how your skills align with our mission at LexisNexis Intellectual Property!
Showcase Your Leadership Skills: As a Manager, you'll need to demonstrate your ability to lead high-performing teams. Share examples of how you've coached and developed teams in the past, and how you foster a culture of continuous improvement.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your key achievements and experiences stand out without unnecessary fluff.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Butterworths Limited Company
✨Know Your Data Engineering Stuff
Make sure you brush up on your data engineering knowledge, especially around large-scale data platforms and ETL processes. Be ready to discuss your hands-on experience and how you've tackled complex business problems with scalable solutions.
✨Showcase Your Leadership Skills
As a Manager, you'll need to demonstrate your ability to lead high-performing teams. Prepare examples of how you've coached and mentored your team, set clear goals, and fostered a culture of continuous improvement. Highlight your experience in managing team capacity and aligning resources effectively.
✨Communicate Like a Pro
Effective communication is key! Be prepared to discuss how you've proactively communicated with stakeholders, provided updates, and surfaced risks in previous projects. Show that you can align technical execution with business priorities and keep everyone on the same page.
✨Familiarise Yourself with Relevant Technologies
Get to know the technologies mentioned in the job description, like Elasticsearch, PostgreSQL, and Databricks. If you have experience with them, be ready to share specific examples of how you've used these tools to drive results in your past roles.
