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For Companies At a Glance
- Tasks: Design, build, and maintain complex data systems for business needs.
- Company: Join LexisNexis IP, a leader in patent content and analytics tools.
- Benefits: Enjoy flexible hours, generous holidays, and wellness programs.
- Why this job: Be part of a diverse team focused on innovation and customer dedication.
- Qualifications: Experience with SQL Server, Data Lake, Python, and modern Data Engineering.
- Other info: Engage in initiatives supporting women in tech and community involvement.
The predicted salary is between 48000 - 72000 £ per year.
Senior Data Engineer – 1 year fixed term contract
About the Team
The LexisNexis Intellectual Property (IP) division ( provides international patent content and a suite of online and analytic tools that meet the evolving needs of the intellectual property market. We deliver data to support LexisNexis IP search and analytics applications, empowering our customers with actionable insights and metrics for critical business decisions.
Our corporate culture thrives on excellence, innovation, and a strong dedication to our customers, employees, and communities. Working here means joining a vibrant, diverse, and collaborative team where you are free to grow and contribute actively.
About the Role
As a Senior Data Engineer at LexisNexis Intellectual Property (LNIP), you will be designing, building, and maintaining complex data systems to support business needs. Utilizing your expertise, you’ll contribute to maintaining a Data Platform that serves our crucial and critical product. Your role will be critical in ensuring the integrity, security, and accessibility of business-critical data..
At RELX, we are committed to advancing gender diversity within the technology sector and supporting greater representation of women in tech. To further this commitment, RELX has implemented the following initiatives:
Women in Technology (WiT) Mentoring Program: This program is tailored to enhance career development for female talent in tech roles across all our businesses.
Women’s Network Forum: We offer dedicated forums that foster community, mentorship, and professional growth for women.
Inspiring Future Talent: We actively engage with schools, hosting events to inspire young females to consider and pursue careers in technology.
Responsibilities
- Work across our ecosystem of products and Data Platforms.
- Collaborate with technical personnel or team members to finalize requirements.
- Develop and maintain data infrastructure supporting real-time data processing.
- Implement scalable data ingestion and pipelines for unified data management.
- Apply development processes, coding best practices, and code reviews.
- Design APIs for diverse business units, ensuring efficient data lineage tracking.
- Utilize DataOps principles to enhance system performance and reliability.
- Automate system lifecycle management for robustness and scalability.
- Integrate advanced data engineering techniques and tools to streamline processes.
- Resolve technical issues as necessary.
- Stay updated with new technology developments.
Requirements
- Experience in SQL Server, Data Lake (Azure/AWS).
- Proficiency in Python is preferred.
- Extensive modern Data Engineering experience.
- Knowledge of large-scale data platforms (Databricks, Snowflake) and cloud-native tools (Azure Synapse, RedShift).
- Familiarity with software development methodologies including Scrum, Kanban, and Agile.
- Experience with analytics technologies (Spark, Hadoop, Kafka).
- Test-driven development experience.
Nice to Have
- Understanding of Clickhouse, Druid, PostgreSQL, Databricks, Delta Share & Delta Lake.
- Ability to work with complex Patent and Litigation data models.
- Experience with Pandas & PySpark
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 in the day to help you fit everything in and work when you are the most productive
Working for you
We know that your wellbeing 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 employee discounts scheme via Perks at Work
About the Business
LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services.
Senior Data Engineer employer: LexisNexis Intellectual Property Solutions
Contact Detail:
LexisNexis Intellectual Property Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Familiarize yourself with the specific technologies mentioned in the job description, such as SQL Server, Azure/AWS Data Lake, and Python. Having hands-on experience or projects that showcase your skills in these areas will make you stand out.
✨Tip Number 2
Engage with the LexisNexis community on platforms like LinkedIn. Follow their updates, participate in discussions, and connect with current employees to gain insights into the company culture and values.
✨Tip Number 3
Highlight any experience you have with DataOps principles and modern data engineering practices. Be prepared to discuss how you've implemented these in past roles during your interviews.
✨Tip Number 4
Show your commitment to continuous learning by mentioning any relevant certifications or courses you've completed, especially those related to cloud-native tools and large-scale data platforms. This demonstrates your proactive approach to professional development.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure to customize your CV to highlight your experience with SQL Server, Data Lakes, and any relevant data engineering projects. Emphasize your proficiency in Python and Node.js, as well as your familiarity with cloud-native tools.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or experiences that align with the responsibilities listed in the job description, such as developing data infrastructure or implementing scalable data pipelines.
Showcase Relevant Skills: Clearly outline your technical skills related to large-scale data platforms like Databricks and Snowflake. If you have experience with analytics technologies such as Spark or Kafka, make sure to include that as well.
Highlight Team Collaboration: Since the role involves collaboration with technical personnel, provide examples of how you've successfully worked in teams. Mention any experience with Agile methodologies like Scrum or Kanban to demonstrate your adaptability in a collaborative environment.
How to prepare for a job interview at LexisNexis Intellectual Property Solutions
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with SQL Server, Data Lakes (Azure/AWS), and your proficiency in Python and Node.js. Highlight specific projects where you utilized these technologies to solve complex data engineering challenges.
✨Demonstrate Your Understanding of DataOps
Since the role emphasizes DataOps principles, be ready to explain how you've applied these principles in past projects. Discuss any experiences that showcase your ability to enhance system performance and reliability through automation and best practices.
✨Familiarize Yourself with the Company Culture
LexisNexis values diversity and innovation. Research their initiatives like the Women in Technology Mentoring Program and be prepared to discuss how you can contribute to a collaborative and inclusive work environment.
✨Prepare for Behavioral Questions
Expect questions that assess your problem-solving skills and teamwork. Use the STAR method (Situation, Task, Action, Result) to structure your responses, particularly when discussing past experiences related to agile methodologies or resolving technical issues.
