onsite
Senior Data Engineer - Data Science Platform - ASOS
Data Scientist
Lead the design and implementation of scalable, reusable data pipelines and platform components on AWS, enabling high‑quality, secure data solutions for data science, analytics, and product teams.
About the role
Key Responsibilities
- Architect and build robust, scalable data pipelines using Python, SQL, and Apache Spark on AWS.
- Develop and maintain platform components, ensuring data quality, security, and compliance across the organization.
- Collaborate with Data Scientists, Analysts, and product engineers to understand requirements and accelerate delivery of data solutions.
- Implement and manage workflow orchestration with Airflow, monitoring performance and troubleshooting issues.
- Define and enforce data engineering standards, best practices, and documentation for reusable components.
Requirements
- 5+ years of experience in data engineering, with a strong focus on pipeline development and platform design.
- Proficiency in Python, SQL, and Apache Spark for large‑scale data processing.
- Hands‑on experience with AWS services (S3, Redshift, EMR, Glue, Lambda).
- Solid understanding of data modeling, data lake architecture, and data governance.
- Excellent communication skills and ability to work cross‑functionally with data science and product teams.
Skills
pythonsqlapache sparkawsairflow