At a Glance
- Tasks: Design and maintain complex data systems to support innovative business needs.
- Company: Join LexisNexis Intellectual Property, a leader in information-based analytics.
- Benefits: Enjoy flexible hours, generous holiday allowance, and wellbeing initiatives.
- Other info: Dynamic work environment with excellent career growth and learning opportunities.
- Why this job: Make a real impact on innovation while working with cutting-edge data technologies.
- Qualifications: Experience in data engineering, SQL, and cloud platforms like Azure or AWS.
The predicted salary is between 36000 - 60000 £ per year.
Overview
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 a Data Engineer at LexisNexis Intellectual Property (LNIP), you will be designing, building, and maintaining complex data systems to support business needs. Utilizing your expertise, youll 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.
Responsibilities
- Be a hands-on Data Engineer working across our ecosystem of products and Data Platforms.
- Interface with other technical personnel or team members to finalize requirements.
- Developing and maintaining data infrastructure supporting real-time data processing in streaming architectures.
- Implementing scalable data ingestion and ML pipelines, incorporating Data Lakehouse concepts for unified data management
- Successfully implement development processes, coding best practices, and code reviews.
- Designing APIs for diverse business units, ensuring efficient data lineage tracking
- Utilizing DataOps principles to enhance system performance and reliability.
- Automating system lifecycle management, ensuring robustness and scalability
- Integrating advanced data engineering techniques and tools to streamline processes.
- Resolve technical issues as necessary.
- Keep abreast of new technology developments.
- Experience in SQL Server, Data Lake (Azure/AWS).
- Possess extensive modern Data Engineering experience.
- Demonstrate in-depth knowledge of large-scale data platforms (Databricks, Snowflake) and cloud-native tools (Azure Synapse, RedShift).
- Knowledge of software development methodologies including Scrum, Kanban, and Agile more broadly.
- Experience of analytics technologies (Spark, Hadoop, Kafka).
- Experience with test-driven development.
Nice to have
- Understanding of Elasticsearch, Solr, PostgreSQL, Databricks, Delta Share & Delta Lake.
- Ability to work with complex Patent and Litigation data models.
- Ability to work well with internal and external technology data resources, including DocDB, ESpacenet & USPTO.
- Experience with Pandas & PySpark.
Work style
Work in a way that works for you.
About LexisNexis Intellectual Property
LexisNexis Intellectual Property, which serves customers in more than 150 countries with 11,300 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. LexisNexis Legal & Professional A9 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 AE and Nexis AE services.
Benefits and work environment
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. Flexible working hours are available to help you fit responsibilities and peak productivity. We are committed to your wellbeing and happiness as key to a long and successful career. Benefits include:
- 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.
Data Engineer III in City of London employer: RELX Group
At LexisNexis Intellectual Property, we pride ourselves on being an exceptional employer that values innovation and employee wellbeing. Our commitment to a healthy work/life balance is reflected in our flexible working hours, generous holiday allowance, and extensive wellbeing initiatives, ensuring that you can thrive both personally and professionally. With numerous opportunities for learning and development, as well as a supportive work culture that encourages collaboration and growth, joining our team as a Data Engineer III means becoming part of a forward-thinking organisation dedicated to advancing technology and making a meaningful impact.
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We think this is how you could land Data Engineer III in City of London
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We think you need these skills to ace Data Engineer III in City of London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
