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Tech Stack
Tools & technologiesBigQueryCloudFluxGoogle Cloud PlatformTerraform
About the role
Key responsibilities & impact- 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
What you’ll need- 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)
Benefits
Comp & perks- Remote work & pleasant offices shared with a startup ecosystem
- Meal vouchers in partnership with Ekip (60% employer contribution)
- Discounted sports & wellness activities via the Wellpass app
- 75% coverage of public transport pass
- Access to a sustainable mobility allowance (€55/month if using a bike, or €25/month if using bike + metro)
- Active team life with events every two months
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Data Pipeline DesignQuery OptimizationData TransformationData IngestionData Quality Assurance
Soft Skills
Cross-Functional CollaborationTechnical PartnershipDocumentationCode Review
