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- Tasks: Join our team as a Data Engineer III, tackling data engineering assignments and enhancing data processes.
- Company: Be part of a dynamic social network that values innovation and collaboration.
- Benefits: Enjoy flexible work options, competitive pay, and opportunities for professional growth.
- Why this job: This role offers hands-on experience with cutting-edge technologies and a chance to make a real impact.
- Qualifications: Proficiency in languages like Java, Python, and SQL; strong problem-solving skills required.
- Other info: Ideal for tech-savvy individuals eager to learn and grow in a fast-paced environment.
The predicted salary is between 48000 - 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.
- Develop and maintain data infrastructure supporting real‑time data processing in streaming architectures.
- Implement scalable data ingestion and ML pipelines, incorporating Data Lakehouse concepts for unified data management.
- Successfully implement 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, ensuring robustness and scalability.
- Integrate advanced data engineering techniques and tools to streamline processes.
- Resolve technical issues as necessary.
- Keep abreast of new technology developments.
Technical Skills
- 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 with 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 know your well‑being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
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 programming languages mentioned in the job description, such as Java, Python, and SQL. Consider building small projects or contributing to open-source projects that showcase your skills in these areas.
✨Tip Number 2
Network with current Data Engineers or professionals in similar roles on platforms like LinkedIn. Engaging in discussions about industry best practices and software development methodologies can provide you with valuable insights and potentially lead to referrals.
✨Tip Number 3
Stay updated on the latest trends in data engineering and automation tools. Participating in relevant online courses or webinars can enhance your knowledge and demonstrate your commitment to continuous learning, which is highly valued in this role.
✨Tip Number 4
Prepare for potential technical interviews by practising problem-solving questions related to data manipulation and database management. Use platforms like LeetCode or HackerRank to sharpen your skills and get comfortable with coding challenges.
We think you need these skills to ace Data Engineer III
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to understand the specific requirements and responsibilities of the Data Engineer III position. Tailor your application to highlight relevant skills and experiences that align with these expectations.
Highlight Technical Skills: Make sure to emphasise your proficiency in development languages such as Java, Python, and SQL. Provide examples of how you've used these skills in previous roles or projects to demonstrate your capability.
Showcase Problem-Solving Abilities: Include specific instances where you've successfully solved complex data engineering problems. This could involve detailing a project where you identified root causes of issues and implemented effective solutions.
Communicate Clearly: Since strong oral and written communication skills are essential for this role, ensure your application is well-structured and free of errors. Use clear language to convey your experiences and qualifications, making it easy for the hiring team to understand your fit for the position.
How to prepare for a job interview at RELX
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in development languages like Java, Python, and SQL. Bring examples of past projects where you successfully applied these skills, as this will demonstrate your capability to handle the technical demands of the role.
✨Understand Data Models
Familiarise yourself with data models relevant to the position. Be ready to explain how you've worked with data models in previous roles and how you can apply that knowledge to improve data transfers and management.
✨Emphasise Problem-Solving Abilities
Prepare to discuss specific challenges you've faced in data engineering and how you resolved them. Highlight your analytical thinking and attention to detail, as these are crucial for identifying root causes of issues.
✨Communicate Effectively
Strong oral and written communication skills are essential. Practice explaining complex technical concepts in simple terms, as you'll need to interface with various team members and document requirements clearly.