At a Glance
- Tasks: Join our team as a Data Engineer III, tackling data challenges and enhancing business solutions.
- Company: RELX is a leading provider of risk assessment solutions, helping businesses thrive through data-driven insights.
- Benefits: Enjoy a full-time role with opportunities for remote work and professional growth.
- Other info: This role offers a chance to work on impactful projects in the tech industry.
- Why this job: Be part of a dynamic team that values innovation and problem-solving in a fast-paced environment.
- Qualifications: Proficiency in programming languages like Java, Python, and SQL; strong problem-solving skills required.
The predicted salary is between 42000 - 84000 £ per year.
Data Engineer III
Are you an experienced Data Engineer with a ‘can do’ attitude and enthusiasm that inspires others?
Do you enjoy being part of a team that works with a diverse range of technology?
About our Team
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.
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 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, 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.
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.
Technical Skills
- 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 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.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.
Please read our Candidate Privacy Policy.
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights.
#J-18808-Ljbffr
Data Engineer III in City of London employer: RELX
RELX is an excellent employer that values its employees by fostering a collaborative and inclusive work culture in the vibrant setting of Greater London. With generous holiday allowances, health screening benefits, and opportunities for professional growth, employees are encouraged to develop their skills while contributing to meaningful customer relationships in the SaaS industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer III in City of London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like RELX!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer III at RELX.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like RELX.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer III at RELX, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at RELX, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at RELX. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at RELX
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at RELX!
✨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.
