Senior Data Engineer
2 giorni fa
Pavia, Lombardia, Italia
Satispay
Tempo pieno
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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 design self-serve data tooling for Analysts
* Clear communication and stakeholder management in diverse teams
* Fluency in Italian and English
* Passion for FinTech or startup environments
* teamwork
* curiosity
* ownership
* SQL
* Python/Java/Scala
* Apache Airflow
* 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 design self-serve data tooling for Analysts
* Clear communication and stakeholder management in diverse teams
* Fluency in Italian and English
* Passion for FinTech or startup environments
* teamwork
* curiosity
* ownership
* SQL
* Python/Java/Scala
* Apache Airflow