Senior Data Engineer: Scalable Pipelines & AI Platform

Elsevier; Greater London; On-site; GBP 70,000 - 100,000; Full time

Benefits offered by this job

Comprehensive Pension Plan

Generous vacation entitlement

Flexible working hours

Employee Assistance Program

Job summary

Elsevier in London is seeking a Senior Data Engineer to build and maintain scalable, high-performance data-driven applications. You will design and develop data pipelines, ensuring reliability and effectiveness in delivering insights. Strong skills in Python and knowledge of cloud platforms like AWS are essential.

Join a team that values innovation, collaboration, and well-being, with benefits including flexible working hours, comprehensive pension plans, and generous leave options.

Qualifications

• Experience working as a data or software engineer on production systems.
• Strong skills in Python and experience with at least one backend language.
• Understanding of data engineering concepts such as data lakes and batch processing.

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 partners.

Skills

Python

Java

Spark

Airflow

SQL

Tools

AWS

Job description

Elsevier in London is seeking a Senior Data Engineer to build and maintain scalable, high-performance data-driven applications. You will design and develop data pipelines, ensuring reliability and effectiveness in delivering insights. Strong skills in Python and knowledge of cloud platforms like AWS are essential.

Join a team that values innovation, collaboration, and well-being, with benefits including flexible working hours, comprehensive pension plans, and generous leave options.