Senior Data Platform Engineer
Pubblicato il 24-10-2026 - Team.Blue in Firenze
Overview As a Senior Data Platform Engineer, you will own and evolve a central data ecosystem to unlock strategic value from global assets. You’ll build scalable data products that serve as the single source of truth for 60+ sub-brands, enabling BI, operations, and AI initiatives. You’ll shape secure, cost-efficient architectures and steer governance and observability. This role offers impact across a fast-growing multi-brand environment with a strong emphasis on collaboration and technical excellence. Responsabilità
* Own and optimize the Data Infrastructure (Databricks, Airflow, dbt, Gitlab & AWS) for peak performance
* Design and deliver scalable data products providing a unified source of truth across 60+ brands
* Build and optimize robust ETL/ELT pipelines for large volumes of data with high availability and low latency
* Lead architectural design of secure, cost-efficient data architectures and enforce best practices in data modeling, orchestration, and observability
* Implement rigorous governance, lineage, metadata management, and quality controls for AI/ML readiness
* Act as strategic partner to Analytics, ML,
and AI teams translating business needs into technical solutions
* Tune data platforms focusing on indexing, query optimization, and schema evolution
* Mentor junior engineers and promote technical excellence Requisiti fondamentali
* 7+ years of professional experience in data engineering or data management
* Experience with Databricks (PySpark, Delta Lake, Unity Catalog)
* Expert SQL skills and data modeling techniques (Dimensional, Star Schema, Snowflake)
* Proficiency with a major cloud provider (AWS, GCP, etc) and orchestration tools like Airflow or dbt
* Experience with multiple RDBMS (PostgreSQL, SQL Server, Oracle)
* Strong Docker/Kubernetes and CI/CD practices
* Experience with data versioning, schema evolution, and distributed metadata management
* Strategic thinking
* Clear communication of complex concepts to non-technical stakeholders
* Problem solving under fast-paced conditions
* Databricks (PySpark, Delta Lake, Unity Catalog)
* Advanced SQL and data modeling (Dimensional, Star Schema, Snowflake)
* Cloud proficiency (AWS, GCP)