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Lead Data Engineer - International Consumer Bank Chase UK - JPMorganChase
Data Engineer
Lead Data Engineer driving enterprise‑scale data pipelines and lakehouse architecture for a global consumer bank, leveraging Python, Spark, and AWS to deliver high‑quality, compliant data solutions.
About the role
Key Responsibilities
- Design, build, and maintain scalable data pipelines and lakehouse solutions using Python, Spark, and AWS services (Glue, S3, Redshift).
- Lead data modeling initiatives, ensuring optimal schema design for analytics and reporting across the organization.
- Collaborate with data scientists, product owners, and compliance teams to translate business requirements into robust, governed data assets.
- Implement and enforce data quality, lineage, and security best practices across all data workflows.
- Mentor and coach a team of data engineers, fostering a culture of continuous improvement and innovation.
Requirements
- 10+ years of experience in data engineering, with a proven track record in large‑scale, cloud‑native environments.
- Expertise in Python, SQL, and Apache Spark for data processing and transformation.
- Hands‑on experience with AWS data services (Glue, S3, Redshift, Lake Formation).
- Strong understanding of data modeling, ETL design, and data governance frameworks.
- Excellent communication skills and ability to work cross‑functionally in a fast‑paced, regulated industry.
Skills
pythonsqlapache sparkaws