Senior Data Engineer

Responsibilities

• Design, build, and maintain scalable data pipelines and services
• Develop batch and ELT/ETL data workflows for ingesting and processing large datasets
• Work with technologies such as Python, Java, Spark, SQL, and Airflow
• Apply software engineering best practices, including testing, documentation, and CI/CD
• Contribute to cloud-based systems on AWS, focusing on reliability, monitoring, and automation
• Collaborate with product, platform, and data science partners to deliver meaningful outcomes
• Support team learning through code reviews and knowledge sharing

Requirements

• Experience working as a data or software engineer on production systems
• Strong skills in Python and experience with at least one backend language (e.g., Java)
• Understanding of data engineering concepts such as data lakes, batch processing, and distributed systems
• Experience building or operating data pipelines using tools like Spark and Airflow
• Familiarity with cloud platforms (AWS preferred) and production monitoring
• Clear communication skills and a collaborative approach to problem-solving

Benefits

• Comprehensive Pension Plan
• Generous vacation entitlement and option for sabbatical leave
• Maternity, Paternity, Adoption, and Family Care leave
• Flexible working hours
• Personal Choice budget
• Employee Assistance Program

About the Company

Elsevier is a global leader in advanced information and decision support for science and healthcare. We combine high-quality content with powerful analytics to transform complexity into clarity, delivering mission-critical insights that help professionals make better decisions.