At a Glance
- Tasks: Build scalable data pipelines and services using Python, SQL, Spark, and Airflow.
- Company: Join RELX, a leader in innovative data solutions.
- Benefits: Flexible hours, hands-on experience, and collaborative work environment.
- Other info: Work alongside senior engineers and cross-functional teams for real business impact.
- Why this job: Gain valuable skills in data engineering and cloud infrastructure on AWS.
- Qualifications: Early-career candidates with a passion for data engineering.
The predicted salary is between 40000 - 50000 £ per year.
RELX is seeking an early‑career Data Engineer II to help build scalable data pipelines and services within the Search and AI Platform.
You will work under senior engineers to design, implement, and maintain data processing components using Python, SQL, Spark, and Airflow.
You’ll gain hands‑on experience with ELT/ETL pipelines, cloud infrastructure on AWS, and collaborative cross‑functional work with product, platform, and data science teams to deliver business value.
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We think you need these skills to ace Data Engineer II: Build Scalable Pipelines | Flexible Hours
Python
SQL
Spark
Airflow
ELT/ETL Pipelines
Cloud Infrastructure
AWS
