L’offerta in breve

team.blue: Data Engineer. Lavoro ibrido in Italia, a Firenze. Livello: senior. Contratto: Full-time. Tecnologie indicate: SQL, Snowflake, Databricks, Delta Lake, Postgres, dbt, Airflow, Spark, AWS, GCP, Docker, Kubernetes.

Responsabilità e requisiti sono riportati nel riepilogo editoriale qui sotto, nella lingua disponibile. Verifica i dettagli nell’annuncio dell’azienda prima di candidarti.

Sul ruolo

team.blue is hiring a Senior Data Engineer to develop and maintain its central data ecosystem, supporting more than 60 brands and turning company data into reliable products for business intelligence, operations, and AI initiatives.

The role owns and optimizes the data platform, builds scalable ETL/ELT pipelines, and leads secure, cost-efficient architecture and governance practices. The engineer will partner with Analytics, ML, and AI teams to translate business needs into technical solutions, while mentoring junior engineers. The stack includes Databricks, PySpark, Delta Lake, Unity Catalog, SQL, AWS or another major cloud provider, Airflow or dbt, and a range of databases and DevOps tools. Applicants need 7+ years of data engineering or data management experience and an advanced degree in a related field.

Highlights

Own and improve the Databricks, Airflow, dbt, GitLab, and AWS data infrastructure.
Build trusted data products and pipelines across a multi-brand ecosystem.
Lead architecture, governance, data quality, and observability practices.
Work remotely from Florence or one of the other listed European locations.

Questo recap è un riassunto editoriale di dataskew, non il testo dell'azienda.