Data Software Engineer

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About this role

Data Software Engineer Krakow What your day could consist of: - Architect and Build Pipelines by designing, developing, and maintaining high-throughput data pipelines that seamlessly transform data across our ecosystem - Execute Data Modeling and Schema Design , utilizing DDL and DML operations to optimize data structures for both performance and long-term scalability - Champion Engineering Excellence by implementing automated testing, CI/CD pipelines, and Infrastructure as Code (Terraform) to ensure system health and reliability . - Collaborate Cross-Functionally with Data Science and AI teams to engineer feature stores and automated MLOps pipelines, moving cutting-edge research into live production environments - Drive System Monitoring and health checks, ensuring our containerized and orchestrated environments (Kubernetes, Docker, Airflow) run at peak efficiency . - Act as a Technical Advisor to stakeholders, translating complex data architectures into clear, non-technical conversations that guide business decisions Technical environment: - Databases: MySQL, Amazon Aurora, Amazon RDS, PostgreSQL - ata Storage and Analytics: AWS S3, Apache Iceberg, Snowflake, Apache Druid, Looker - Data Processing and Transformation: Apache Spark, DBT - Languages: Python (primary) - Infrastructure as Code: Terraform - Containerization and Orchestration: Kubernetes, Docker, Airflow The Ideal Candidate Will Bring: - 4+ years of professional software engineering experience , with a proven track record of building and maintaining production-grade data systems . - Deep Data Architecture expertise , with the ability to design modern data stack components and schemas that balance immediate performance with future growth . - Proficiency in Infrastructure as Code , specifically using Terraform to

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