Senior Data Engineer
Pubblicato il 02-10-2026 - Satispay in Varese
As Senior Data Engineer at Satispay, you will shape and scale the next-generation data platform. You’ll design a Lakehouse-based architecture that integrates with Redshift, enabling high-performance analytics for analysts and business teams. You’ll empower self-service analytics, own the dbt framework and CI/CD practices, and lead reliable orchestration, streaming, and ML tooling. This role blends platform engineering with governance, security, and mentorship in a fast-paced fintech environment. You’ll have a clear impact on data quality, speed, and empowering data-driven decisions across the organization.
Private health insurance for you and family
Stock Option Plan
Relocation support
Internal mobility and language courses
Unlimited PTO and hybrid working policy
Enhanced parental leave
Design and evolve the Data Lakehouse strategy with Redshift integration
Own and scale dbt framework, CI/CD, and testing for analytics engineering
Build and optimize orchestration layers with Airflow for batch and near-real-time workloads
Own ML Platform, Feature Store,
and data pipelines for model training/inference
Develop streaming pipelines (Flink, Spark Streaming) for real-time analytics
Tackle AI tooling and agentic engineering to accelerate delivery
Oversee ingestion workflows (Fivetran) and Python pipelines for reliable data flow
Ensure performance, cost efficiency, data quality, observability, and SLAs
Implement data security, access control, and compliance across data assets
Mentor junior/mid engineers and promote engineering standards
Degree in Computer Science, Engineering, or related field
5+ years designing and maintaining complex enterprise data platforms
Strong SQL skills and practical experience with Python, Java, or Scala
Experience with batch and real-time streaming architectures
Experience with data governance, quality, and observability
Ability to design self-serve data tooling for Analysts
Clear communication and stakeholder management in diverse teams
Fluency in