Principal Data Engineer

📋 Description

• Build and operate scalable data pipelines on an AWS‑based data platform.
• Collaborate with data science teams to productionise models.
• Support multi‑region operations and troubleshoot production issues.
• Act as a bridge between data science, engineering, and regional teams.
• Design and optimize data ingestion, storage, and processing patterns.
• Ensure monitoring, incident resolution, and continuous operational improvement.

🎯 Requirements

• 9+ years hands‑on experience in data engineering and large‑scale pipelines.
• Deep expertise in AWS‑based data platforms (S3, Glue, EMR, Lambda) and Airflow.
• Proficiency in Python and Spark for data processing and orchestration.
• Understanding of distributed data processing, ETL/ELT patterns.
• Experience with Java/Scala frameworks is nice to have.
• Experience productionising ML models, feature engineering and deployment.

🎁 Benefits

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee‑Assistance‑Program (EAP)