Principal Data Platform Engineer – AI & Data Pipelines

Elsevier; Greater London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A global information and analytics leader is looking for a Principal Data Engineer to join their innovative team. In this role, you will design, prototype, and build scalable applications while working with technologies such as Python and Java. You will also create data pipelines and build cloud infrastructure in AWS, ensuring that solutions deliver real value to clients. The ideal candidate should have strong commercial software engineering experience, a collaborative mindset, and excellent programming skills.

Benefits

Comprehensive Pension Plan

Home, office, or commuting allowance

Generous vacation entitlement

Flexible working hours

Employee Assistance Program

Qualifications

• Strong commercial software engineering experience delivering server-side applications.
• Excellent programming skills with Java and Python.
• Comfortable learning new technologies and tools on the job.

Responsibilities

• Design and build robust and scalable applications following best practices.
• Create data pipelines for bulk data ingestion.
• Build cloud infrastructure in AWS to host services.

Skills

Commercial software engineering experience

ETL

Spark

Airflow

Java programming

Python programming

Collaborative mindset

Tools

AWS

Data Lake

Delta Lake

Iceberg

Job description

A global information and analytics leader is looking for a Principal Data Engineer to join their innovative team. In this role, you will design, prototype, and build scalable applications while working with technologies such as Python and Java. You will also create data pipelines and build cloud infrastructure in AWS, ensuring that solutions deliver real value to clients. The ideal candidate should have strong commercial software engineering experience, a collaborative mindset, and excellent programming skills.