4 months ago
Milan, ItalySenior
Responsibilities
- Lead the architecture and implementation of the modern data lakehouse strategy using Amazon Redshift and Redshift Serverless.
- Own the dbt framework, self-service data modeling practices, CI/CD pipelines, and testing frameworks for analytics engineering.
- Build, scale, and maintain Apache Airflow orchestration layers for batch and near-real-time workloads.
- Own and scale the machine learning platform and feature store, including data pipelines for model training and inference.
- Design and operate streaming transformation pipelines using Apache Flink and Spark Streaming.
- Explore and maintain AI-assisted development workflows, including Claude Code and AI agents.
- Supervise Fivetran ingestion workflows and custom Python pipelines for reliable and cost-efficient data integration.
- Own platform performance, cost, data quality, observability, and consumer SLAs.
- Design data security, access control, privacy, and compliance measures for financial-regulation requirements.
- Mentor junior and mid-level engineers, promote documentation, and establish engineering standards.
Requirements
- Degree in Computer Science, Engineering, or a related field.
- At least 5 years of hands-on experience designing, scaling, and maintaining complex enterprise data platform architectures.
- Advanced SQL skills and practical experience with Python, Java, or Scala for building data pipelines.
- Experience with batch and real-time streaming data architectures and scalable, resilient system design.
- Understanding of platform and data mesh approaches that enable governed self-service analytics.
- Interest in AI, LLMs, and integrating AI coding assistants into development workflows.
- Strong data quality, preparation, consistency, and analytical mindset.
- Clear communication and stakeholder-management skills across technical and business teams.
- Fluency in both Italian and English.
- Passion for FinTech or startup environments.
Benefits
- Private health insurance for the employee and family, psychological support through Serenis, and mental health workshops.
- Stock Option Plan, meal vouchers, and relocation support for employees moving countries.
- Professional development programs, internal mobility, and language courses with Preply.
- Unlimited PTO, flexible working hours, and a hybrid policy with three days per week in the office—Tuesday, Thursday, and one additional chosen day—with the option to request extra remote time.
About Satispay
Satispay builds a mobile payment network and financial app for consumers and merchants, enabling peer‑to‑peer transfers, in‑store and online payments, and features like savings, investments, meal vouchers, and BNPL. The company monetizes via merchant transaction fees and related financial services. Founded in 2013 and headquartered in Milan, it operates across several European markets and partners with Mastercard for debit cards, remaining a privately held business.