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Senior Data Engineer

RELX (ElsevierJobs)
GBR
Onsite
Discovered 4 weeks ago
data engineeringPythonJavaApache SparkApache AirflowSQL
Free

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About the Role

The Senior Data Engineer will build and operate reliable data pipelines and services for large-scale search and analytics use cases.

The Search and AI Platform supports Scopus, ScienceDirect, and next-generation LLM-powered research systems.

The platform uses knowledge graphs, search and recommendation systems, and research data to deliver insights to the scientific community.

Key Responsibilities

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

Requirements

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

Benefits and Flexibility

  • The company promotes work-life balance through wellbeing initiatives and shared parental leave.
  • Flexible working hours support working at times when employees are most productive.
  • Benefits include a pension plan, vacation entitlement, sabbatical leave options, family care leave, discounts, employee assistance, and internal communities.

About Elsevier

Elsevier provides information, analytics, data, and technology supporting science, healthcare, education, and research.

The company combines publishing heritage with data and analytics to help researchers and healthcare professionals improve outcomes.

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