Data Engineer
Posted 10
views
Summary
A data engineer who architects and optimizes cloud data infrastructure on GCP, building large-scale ingestion, transformation and orchestration pipelines for payment streams with BigQuery, Dataform and Terraform, while ensuring data quality, GDPR and payment-data compliance and partnering with Tech, Product, Business and AI teams.
Responsibilities
- Architect and optimize the cloud data infrastructure to support Purse’s growing data/AI needs
- Design and evolve high-performance data pipelines: large-scale ingestion, transformation and orchestration for payment streams
- Ensure data quality, traceability and compliance (GDPR, payment data security)
- Act as a technical partner to Tech, Product, Business and AI teams, translating functional requirements into robust, scalable solutions
- Actively contribute to the team’s data maturity: best practices, documentation, code reviews
Requirements
- Minimum 5 years in Data Engineering, with experience deploying pipelines to production
- Proficiency with GCP and its data services (BigQuery, Dataform or equivalents) and Infrastructure as Code (Terraform)
- Strong experience in data modeling, pipeline architecture and query optimization
- Ability to work cross-functionally with technical and non-technical teams while maintaining rigor
- Ideally, experience in fintech, payments or regulated environments (PCI-DSS, GDPR)
Core Competencies
Expertise in architecting and optimizing cloud data infrastructure, with a strong focus on data pipeline design, data quality, and compliance in regulated environments. Proficient in collaborating with cross-functional teams to deliver scalable data solutions that meet business and AI needs.