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.
RELX City Of London, England, United Kingdom
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About The Business
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, https://risk.lexisnexis.com
Data Engineer Level III
About The Business
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, https://risk.lexisnexis.com
About The Role
This position performs moderate research, design, and data engineering assignments within a specific engineering functional area or product line.
Requirements
- File management skills and logic.
- Ability to work with data models.
- Proficiency in development languages including but not limited to: Java/J2EE, Python JavaScript, JSP, C/C++, HTML, XML, SQL, Windows, Unix, .Net., HPCC.
- Knowledge of Industry best practices – Code coverage.
- Knowledge of software development methodologies (e.g., Agile, Waterfall).
- Strong knowledge of data manipulation languages.
- Ability and desire to learn new processes and technologies.
- Strong problem-solving skills.
- Attention to detail.
- Strong oral and written communications skills.
Responsibilities
- Own specific set or group of data transfers in various capacities including collection setup, data transfer setup, contributor/customer setup, etc.
- Interface with other technical personnel or team members to document, interpret, and finalize requirements.
- Write and review portions of detailed specifications for the development of data components.
- Complete data engineering bug fixes and issues, researching and identifying root causes as appropriate.
- Identify opportunities to apply automation or other tools to improve effectiveness or efficiency.
- Work closely with other development team members to understand product requirements and translate them into data engineering and/or data management designs.
- Participate in the development processes, coding best practices, and code reviews.
- Oversee specific database management ensuring structure and dataflow adheres to department standards.
- Learn more about the LexisNexis Risk team and how we work here
Seniority level
-
Seniority level
Not Applicable
Employment type
-
Employment type
Full-time
Job function
-
Job function
Information Technology
-
Industries
Technology, Information and Media
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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.