onsite
Data Engineer VP Level - NatWest Group
Data Engineer
Senior Data Engineer leading end‑to‑end data pipelines, architecting scalable solutions on AWS, and driving data quality and governance for a digital banking platform.
About the role
Key Responsibilities
- Design, build, and maintain robust data pipelines using Python, SQL, and Apache Spark on AWS infrastructure.
- Collaborate with cross‑functional teams to define data requirements, data models, and governance standards.
- Implement data quality checks, monitoring, and alerting to ensure high data integrity.
- Optimize performance and cost of data processing workflows, leveraging AWS services such as S3, Redshift, and Glue.
- Lead data engineering initiatives, mentor junior engineers, and drive continuous improvement of data practices.
Requirements
- 10+ years of experience in data engineering, with a proven track record in large‑scale data platform development.
- Expertise in Python, SQL, and Spark for data transformation and analytics.
- Deep knowledge of AWS data services (S3, Redshift, Glue, Athena, EMR).
- Strong understanding of data modeling, ETL design, and data governance principles.
- Excellent communication skills and ability to influence stakeholders across the organization.
Skills
pythonsqlawsapache spark