Are you a highly skilled and experienced Data Engineer looking to take the next step in your career? Look no further! We are seeking a driven and talented individual to lead our Data Engineering team at Relx. As the Data Engineering Lead, you will play a crucial role in designing, developing, and implementing our data infrastructure and processes. Your expertise in data management and leadership skills will be essential in driving our data strategy and ensuring its successful execution. If you are passionate about creating innovative solutions and making a significant impact in a fast-paced and dynamic environment, we want to hear from you! Read on for more information on the qualifications and responsibilities for this exciting opportunity.
- Lead and manage the Data Engineering team at Relx, providing guidance and support to team members.
- Design and develop a robust and scalable data infrastructure to support the organization's needs.
- Collaborate with cross-functional teams to understand data requirements and provide technical solutions.
- Develop and implement data management processes and best practices to ensure data quality and accuracy.
- Define and execute the data strategy, aligning it with the overall business objectives.
- Stay up-to-date with industry trends and advancements in data engineering to continuously improve processes and systems.
- Identify and address data-related issues and troubleshoot any technical problems.
- Manage and optimize data pipelines for efficient data processing and storage.
- Mentor and coach team members to enhance their technical skills and foster a culture of continuous learning.
- Collaborate with stakeholders to understand business needs and provide insights and recommendations based on data analysis.
- Oversee data governance and compliance to ensure data security and privacy.
- Prepare and present reports and updates on data engineering projects and progress to upper management.
- Manage relationships with vendors and external partners for data-related projects.
- Continuously monitor and improve data processes and systems for optimal performance.
- Drive innovation and efficiency through the use of cutting-edge technologies and techniques in data engineering.
Proficiency In Programming Languages Such As Python, Java, Or Scala.
Bachelor's Or Master's Degree In Computer Science, Engineering, Or A Related Field.
Minimum Of 5 Years Of Experience In Data Engineering, With At Least 2 Years In A Leadership Or Management Role.
Strong Knowledge Of Data Processing Technologies And Tools, Such As Hadoop, Spark, Sql, And Nosql Databases.
Experience With Cloud Computing Platforms, Such As Aws Or Azure, And Knowledge Of Devops Principles And Practices.
Database Management
Data Modeling
Machine Learning
Data warehousing
Cloud Computing
Data governance
ETL Development
Programming Languages
Big Data Analytics
SQL querying
Data Quality Assurance
Communication
Emotional Intelligence
Leadership
Time management
Work ethic
creativity
flexibility
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Data Engineering Lead is between $120,000 to $150,000 per year. This can vary depending on factors such as location, experience, and the size and industry of the company. Some Data Engineering Leads may earn more than $150,000 per year, especially those with several years of experience and working for larger companies in high-demand industries. Additionally, data engineering leads may also receive bonuses and other benefits such as
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RELX plc is a British corporate group comprising companies that publish scientific, technical and medical material, and legal textbooks; provide decision-making tools; and organise exhibitions. It operates in 40 countries and serves customers in over 180 nations.

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