20 set - Italia
Satispay
About usSatispay began by rethinking the simple act of a payment to remove the friction from our daily routines. But we didn't stop there. Today, we are building a complete financial platform designed to empower people and concretely improve their lives. By giving our 6 million users a clear, open path to pay, save, and invest, we are evolving into the definitive destination for every financial need.What you'll be doingAs our Senior Data Engineer, you won't just maintain pipelines; you will shape the evolution of our next-generation data platform. You will architect, scale, and govern an ecosystem that empowers Data Analysts and business teams to autonomously model, analyse, and leverage data safely. Here's what your day-to-day will look like: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.
You will own the core dbt framework, establishing best practices, CI/CD pipelines, and robust testing frameworks to make analytics engineering scalable and decentralised.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. You will manage our Feature Store, build robust data pipelines for model training and inference, and provision collaborative analytics environments to empower Data Scientists and Analysts.Streaming & Real-Time Data- Design and operate streaming transformation pipelines (e.g. Apache Flink, Spark Streaming) that power near-real-time analytics and feed the feature store, moving the platform beyond batch.AI Tooling & Agentic Engineering- Drive team
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