About us
Traditional banking has never really given you control over your financial life. Satispay exists to change that: to empower people through finance.
That means making financial services easy and accessible for over 6.5M users. We started with payments, then benefits, investing, cards... and we’re not done. Not even close. We follow the same logic every time: find a real problem, solve it properly, then look for the next one. The destination? To build the most loved financial platform in the world.
If you own outcomes rather than tasks, stay close to what users need, and refuse to wait for someone else to fix what's broken — you'll find people here who work exactly in the same way. And together, you'll build something worth being proud of.
What you'll be doing
As our Senior Data Engineer, you will shape the evolution of our next-generation data platform, architecting, scaling, and governing an ecosystem that empowers Data Analysts and business teams to autonomously model, analyse, and leverage data safely.
Here's what that looks like in practice:

Data Platform Architecture & Evolution - Lead the design and implementation of our modern Data Lakehouse strategy, ensuring seamless integration with Amazon Redshift & Redshift Serverless for high-performance analytics.
Self-Service Enablement & Analytics Engineering - Empower Data Analysts to contribute directly to data modelling, owning the core dbt framework, establishing best practices, CI/CD pipelines, and robust testing frameworks.
Orchestration & Workflow Automation - Build, scale, and maintain reliable orchestration layers using Apache Airflow, optimising complex DAGs for both batch and near-real-time workloads.
ML Platform Ownership & Feature Store Management - Own, architect, and scale Satispay’s Machine Learning Platform, managing our Feature Store, building robust data pipelines for model training/inference, and provisioning collaborative analytics environments.
Streaming & Real-Time Data - Design and ope

Senior Data Engineer

Maestra

Bagnino

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