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For Companies At a Glance
- Tasks: Design, build, and maintain complex data systems for business needs.
- Company: Join LexisNexis, a leader in legal and business information analytics.
- Benefits: Enjoy flexible hours, generous holidays, and wellness programs.
- Why this job: Be part of a diverse team driving innovation in data engineering.
- Qualifications: Experience in SQL Server, Python, and modern Data Engineering required.
- Other info: Commitment to gender diversity and support for women in tech.
The predicted salary is between 43200 - 72000 £ per year.
Senior Data Engineer – 1 year fixed term contract
About the Team
The LexisNexis Intellectual Property (IP) division (https://www.lexisnexisip.com) 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.
LexisNexis Intellectual Property Solutions | 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 LexisNexis Intellectual Property Solutions | 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 can set you apart from other candidates.
✨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 expectations for the Senior Data Engineer role.
✨Tip Number 3
Highlight any experience you have with DataOps principles and automation in your conversations. This is a key aspect of the role, and demonstrating your understanding of these concepts can show your alignment with the team's goals.
✨Tip Number 4
Prepare to discuss your experience with large-scale data platforms and analytics technologies during interviews. Be ready to provide examples of how you've successfully implemented solutions using tools like Databricks, Spark, or Kafka in previous roles.
We think you need these skills to ace LexisNexis Intellectual Property Solutions | Senior Data Engineer
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Senior Data Engineer position. Highlight the key responsibilities and requirements, such as experience with SQL Server, Data Lake, and Python, to tailor your application accordingly.
Showcase Relevant Experience: In your CV and cover letter, emphasize your extensive modern Data Engineering experience and any specific projects that demonstrate your skills in building and maintaining data systems. Mention your familiarity with tools like Databricks, Snowflake, and cloud-native technologies.
Highlight Collaboration Skills: Since the role involves working across ecosystems and collaborating with technical personnel, include examples of past teamwork experiences. Describe how you contributed to successful projects and how you communicated effectively with team members.
Express Commitment to Diversity: Given LexisNexis's commitment to gender diversity in tech, consider mentioning any involvement in initiatives that support diversity or your personal commitment to fostering an inclusive work environment in your application.
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, and cloud-native tools like Azure and AWS. Highlight specific projects where you utilized these technologies to solve complex data challenges.
✨Demonstrate Your Problem-Solving Skills
Expect questions that assess your ability to resolve technical issues. Prepare examples of past challenges you've faced in data engineering and how you approached them, particularly in real-time data processing.
✨Familiarize Yourself with DataOps Principles
Since the role emphasizes DataOps, be ready to explain how you've applied these principles in previous roles. Discuss any experiences you have with automating system lifecycle management and enhancing system performance.
✨Emphasize Collaboration and Communication
The job requires working across various teams and products. Prepare to share examples of how you've successfully collaborated with technical personnel and other stakeholders to finalize requirements and deliver results.
