Senior Data Engineer - 1 year fixed term contract
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. 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. 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.
Work across our ecosystem of products and Data Platforms.
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.
Integrate advanced data engineering techniques and tools to streamline processes.
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.
Understanding of Clickhouse, Druid, PostgreSQL, Databricks, Delta Share & Delta Lake.
Ability to work with complex Patent and Litigation data models.
We promote a healthy work/life balance across the organisation. 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
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
Access to employee discounts scheme via Perks at Work
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.