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Satispay
Overview 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. Retribuzione / Benefits * 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 Responsabilità * 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 Requisiti fondamentali * 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 des
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