Senior Engineer, Data Engineering
Pubblicato il 17-10-2026 - Team.Blue in Italia
Overview As Senior Data you will build and scale a central data ecosystem that acts as the single source of truth for 60+ sub-brands. You will design high-value data products and robust pipelines to empower BI, AI, and operational efficiency. You'll lead secure, cost-effective data architectures and partner with analytics, ML, and AI teams to translate business needs into technical solutions. This role offers impact across a multi-brand ecosystem and opportunities to shape data governance and semantic layers for advanced analytics.
Design and deliver scalable data products that serve as a unified truth across 60+ brands
Build and optimize ETL/ELT pipelines for large volumes of structured and unstructured data
Lead secure, cost-efficient data architecture design and governance practices
Implement data governance frameworks including lineage, metadata, and quality controls
Collaborate with Analytics, ML, and AI teams to translate business needs into technical solutions
Tune data platforms for performance, including indexing,
query optimization, and schema evolution
7+ years of experience in data engineering or data management
~ Advanced degree (Masters or PhD) in Computer Science, STEM or related field
~ Proven track record deploying stable, high-performance data solutions that drive value
~ Experience with Databricks (PySpark, Delta Lake, Unity Catalog)
~ Expert SQL skills and data modeling (Dimensional, Star, Snowflake)
~ Cloud experience with AWS or GCP and modern orchestration tools (Airflow, dbt)
~ Experience with RDBMS (PostgreSQL, SQL Server, Oracle)
~ Docker/Kubernetes and CI/CD practices
~ Data governance, schema evolution, and metadata management
~ Clear business-oriented communication
~ Databricks (PySpark, Delta Lake, Unity Catalog)
~ Advanced SQL and data modeling (Dimensional, Star Schema, Snowflake)
~ Cloud platform (AWS, GCP)