Sr Data Engineer I

Are you a passionate Data Engineer eager to stay ahead of emerging technologies?

Do you want to contribute to innovative data solutions within a collaborative team environment?

About Our Team

The Research Data Platform team at Elsevier is dedicated to building and maintaining scalable, reliable data infrastructure that powers our research and product offerings. We focus on harvesting, processing, and managing critical data flows that support our scientific and healthcare solutions.

About the Role

As a Senior Data Engineer I, you will play a key role in designing and developing big data applications and pipelines. You will work closely with our team to contribute to the development of data products and capabilities within our core data domain—responsible for managing the vital data that feeds into Elsevier’s products and services. This role offers an excellent opportunity to grow your expertise while making a meaningful impact.

Responsibilities

• Collaborate with team members and stakeholders to understand complex data requirements and help design effective solutions. 
• Contribute to all phases of the data development lifecycle, ensuring high-quality, reliable, and secure data pipelines and applications. 
• Assist in implementing best practices for data modeling, processing, and storage within our modern big data stack. 
• Support the deployment and maintenance of data solutions on cloud platforms, primarily AWS, including storage, processing, and messaging services. 
• Help identify opportunities for process improvements and assist in implementing new technologies or methodologies. 
• Troubleshoot and resolve technical issues, performing root cause analysis to ensure long-term stability. 
• Share knowledge and collaborate with team members, fostering a culture of continuous learning and improvement. 

Requirements

• Experience with data engineering principles, data architecture, and modern data stack components (e.g., data lakes, data mesh, streaming data). 
• Proficiency in programming languages such as Java, Scala or Python, and experience with distributed data processing frameworks like Spark or Delta Lake. 
• Familiarity with databases (SQL and NoSQL), search engines (Solr, Elasticsearch), and data services. 
• Hands-on experience with cloud platforms, especially AWS (S3, EMR, Athena, Glue, SQS), and deploying infrastructure using IaC tools. 
• Knowledge of CI/CD pipelines, version control (Git), and automation tools like Jenkins. 
• Experience with orchestration frameworks such as Airflow or event streaming systems like Kafka. 
• Understanding of Agile or Kanban development methodologies. 

Work in a Way That Works for You

We promote a healthy work/life balance and offer flexible working arrangements to help you thrive both professionally and personally. Our benefits include wellbeing initiatives, parental leave, study support, sabbaticals, and more.

We’re Here for You

Your well-being and happiness are important to us. We offer a range of benefits, including: 

• Share Purchase Plan and Profit Sharing 
• Pension Scheme 
• Home/Office/Commuting Allowance 
• Generous Vacation Options 
• Family Leave (Maternity, Paternity, Adoption) 
• Flexible Hours and Personal Budget 
• Online Training and Career Development 
• Wellbeing Programs and Gym Access 
• Employee Networks and Discounts 
• Employee Assistance Program 
• Annual Company Events 

About Elsevier

A global leader in information and analytics, Elsevier helps researchers and healthcare professionals advance science and improve health outcomes. We combine our publishing heritage with cutting-edge data and analytics to support scientific discovery, health education, and clinical excellence. Join us in tackling the world’s grand challenges and building a more sustainable future through innovative technology and data-driven solutions.

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