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.
- 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.
- Other info: This role offers a chance to work on impactful projects in the tech industry.
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.
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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.
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Data Engineer III employer: RELX
Contact Detail:
RELX Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer III
✨Tip Number 1
Familiarise yourself with the specific technologies and programming languages mentioned in the job description, such as Java, Python, and SQL. Having hands-on experience or projects that showcase your skills in these areas can set you apart from other candidates.
✨Tip Number 2
Understand the core business of LexisNexis Risk Solutions and how data engineering plays a role in their services. Being able to discuss how your work can contribute to their goals in risk assessment will demonstrate your genuine interest in the position.
✨Tip Number 3
Network with current or former employees of RELX on platforms like LinkedIn. Engaging with them can provide valuable insights into the company culture and expectations, which you can leverage during interviews.
✨Tip Number 4
Prepare for technical interviews by practising common data engineering problems and scenarios. Focus on your problem-solving skills and be ready to explain your thought process clearly, as communication is key in this role.
We think you need these skills to ace Data Engineer III
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Engineer III position. Familiarise yourself with the technologies mentioned, such as Java, Python, SQL, and Agile methodologies.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your proficiency in data manipulation languages and any experience with software development methodologies.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your problem-solving skills. Mention specific projects or experiences that demonstrate your ability to work with data models and your attention to detail.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your professionalism.
How to prepare for a job interview at RELX
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in development languages such as Java, Python, and SQL. Be prepared to discuss specific projects where you've applied these skills, as well as any challenges you faced and how you overcame them.
✨Understand Data Engineering Principles
Familiarise yourself with data models and best practices in data manipulation. Be ready to explain how you approach data transfers and database management, as this role requires a strong understanding of these concepts.
✨Demonstrate Problem-Solving Abilities
Prepare examples that showcase your problem-solving skills. Discuss situations where you identified root causes of issues and the steps you took to resolve them, particularly in a data engineering context.
✨Communicate Effectively
Strong oral and written communication skills are essential for this role. Practice explaining complex technical concepts in simple terms, as you may need to interface with non-technical team members or stakeholders.