Senior Data Engineer - Scale Data Pipelines & AI

Elsevier; City Of London; On-site; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Comprehensive Pension Plan

Generous vacation entitlement

Maternity, Paternity, Adoption, and  F

Flexible working hours

Personal Choice budget

Internal communities and networks

Employee discounts

Recruitment introduction reward

Employee Assistance Program (global)

Job summary

Elsevier is seeking a Senior Data Engineer to design, build, and operate scalable data pipelines powering Scopus, ScienceDirect, and AI-driven research solutions. You will work hands-on and guide other engineers while ensuring reliable batch and ELT workflows.

Required skills include Python, Java, Spark, SQL, and Airflow; experience with data lakes, distributed systems, and AWS is valued. Flexible hours and collaborative culture are emphasized.

Qualifications

• Experience building production data pipelines and services.
• Strong skills in Python and at least one backend language (Java).
• Knowledge of data engineering concepts: data lakes, batch processing, distributed systems.

Responsibilities

• Design, build, and maintain scalable data pipelines and services.
• Develop batch and ELT/ETL workflows for large datasets.
• Collaborate with product, platform, and data science teams to deliver outcomes.
• Contribute to cloud-based systems (AWS) with focus on reliability and monitoring.
• Promote good software engineering practices including testing and CI/CD.

Skills

Python

Java

Distributed systems

SQL

Data lakes

Communication

Tools

Spark

Airflow

AWS

CI/CD

Job description

Elsevier is seeking a Senior Data Engineer to design, build, and operate scalable data pipelines powering Scopus, ScienceDirect, and AI-driven research solutions. You will work hands-on and guide other engineers while ensuring reliable batch and ELT workflows.

Required skills include Python, Java, Spark, SQL, and Airflow; experience with data lakes, distributed systems, and AWS is valued. Flexible hours and collaborative culture are emphasized.