Data Engineer II

RELX Group
Charing Cross, United Kingdom
2 days ago

Role details

Contract type
Internship / Graduate position
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Charing Cross, United Kingdom

Tech stack

Java
Artificial Intelligence
Airflow
Amazon Web Services (AWS)
Batch Processing
Information Engineering
ETL
Data Systems
Systems Theories
Python
Recommender Systems
SQL Databases
Data Ingestion
Large Language Models
Spark
Core Data
Non-relational Database
Data Management
Data Pipelines

Job description

The Search & AI Platform supports products such as Scopus and ScienceDirect, delivering trusted research data and insights to the global scientific community. As a Data Engineer II, you will contribute to building and maintaining reliable, scalable data pipelines and services, working closely with experienced engineers in a supportive team environment.

This role is well suited to engineers who are early to mid-career and motivated to grow their technical skills while making a meaningful impact.

About the team:

The Search and AI Platform is Elsevier's agentic data platform, which powers products such as Scopus, ScienceDirect, and our next-generation LLM-powered research systems. The platform utilises agentic services to interrogate our rich knowledge graphs, search and recommendation systems, and our unparalleled collection of research data, delivering insights to the scientific community that enable them to collaborate more effectively, work smarter, and produce high-quality research more efficiently

Responsibilities:

  • Contribute to the design, development, and maintenance of data pipelines with guidance from senior team members.
  • Write clear, maintainable code that follows established engineering standards.
  • Work with technologies such as Python, Spark, Airflow, and relational and non-relational databases.
  • Support ELT/ETL processes for large-scale data ingestion.
  • Help monitor, maintain, and improve existing data platforms and services.
  • Learn and apply cloud fundamentals (AWS) for deploying and operating data solutions.

Requirements

  • Experience in software or data engineering through work experience, internships, placements, or equivalent practical projects.
  • Working knowledge of Python; experience with Java is helpful but not required.
  • Understanding of core data engineering concepts such as ETL/ELT, batch processing, and SQL.
  • Willingness to learn new tools, technologies, and ways of working.
  • Ability to collaborate effectively and communicate clearly with others

Benefits & conditions

Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply.

Work in a way that works for you

We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

  • Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.

Working for you

We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

  • Comprehensive Pension Plan

  • Home, office, or commuting allowance.

  • Generous vacation entitlement and option for sabbatical leave

  • Maternity, Paternity, Adoption and Family Care leave

  • Flexible working hours

  • Personal Choice budget

  • Internal communities and networks

  • Various employee discounts

  • Recruitment introduction reward

  • Employee Assistance Program (global)

About the company

A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.

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