onsite
Data Engineer - abound
Data Engineer
Data Engineer building scalable pipelines on AWS, transforming Open Banking data with Python and Spark to power AI-driven credit models.
About the role
Key Responsibilities
- Design, develop, and maintain robust data pipelines ingesting Open Banking and transactional data at scale.
- Implement ETL workflows using Python, SQL, and Spark on AWS services (Glue, Redshift, S3).
- Collaborate with data science and product teams to expose clean, high‑quality datasets for model training and analytics.
- Optimize pipeline performance, monitor job health, and troubleshoot production issues.
- Ensure data governance, security, and compliance with UK financial regulations.
Requirements
- 3+ years of experience in data engineering, preferably in fintech.
- Strong proficiency in Python, SQL, and Spark.
- Hands‑on experience with AWS data services (Glue, Redshift, S3, Lambda).
- Solid understanding of ETL concepts, data modeling, and performance tuning.
- Excellent problem‑solving skills and a collaborative mindset.