Overview In this Analytics Engineer role within team.blue’s AI & Data function, you will transform raw data into analytics-ready datasets and data products that power reporting and insights across multiple brands. You’ll bridge the Data Management and Analytics teams, defining KPI logic, maintaining a semantic layer, and delivering reliable data assets at pace. You’ll work across diverse domains—marketing, product usage, customer care, revenue—and engage business partners to ensure data meaning and quality. This is a hands-on, autonomous role at scale in a Databricks-based environment with strong emphasis on governance and collaboration. Responsabilità * Design and build robust dbt models on Databricks to produce clean, conformed datasets * Define KPI logic with stakeholders to ensure consistent metrics across domains * Maintain and evolve the semantic/presentation layer with reliable, tested data products * Apply software engineering practices to analytics code, including version control, testing, CI/CD, and documentation * Onboard new data domains independently,



exploring structure and modelling decisions * Engage domain owners to validate context and align on KPI definitions * Identify data quality issues early and coordinate with Data Management to resolve at the source * Bridge data engineers and analysts by translating analytical needs into engineering tasks and ensuring the presentation layer meets reporting needs * Contribute to data governance through naming conventions, lineage, and model cataloguing * Support extending analytics coverage to new brands and domains over time Requisiti fondamentali * 5+ years in analytics engineering, data engineering, or related data role * Strong, hands-on dbt (dbt Core or dbt Cloud) proficiency * Experience with Databricks or comparable cloud platforms (Snowflake, BigQuery) * Solid understanding of dimensional modelling or data warehousing patterns * SQL excellence with complex transformations and window functions * Abili

📌 Analytics Engineer (Firenze)
🏢 Team.Blue
📍 Firenze