L’offerta in breve
team.blue: Senior Data Platform Engineer. Lavoro ibrido in Italia. 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 Platform Engineer to build and maintain a central data ecosystem serving more than 60 brands. The role owns data infrastructure across Databricks, Airflow, dbt, GitLab, and AWS, and develops scalable data products that turn raw information into a shared source of truth for business intelligence and AI initiatives.
The engineer will design and optimize ETL/ELT pipelines, set architecture and governance practices, and work with Analytics, ML, and AI teams. The position also includes mentoring junior engineers. Candidates should bring deep Databricks and SQL experience, cloud and orchestration skills, database experience, and a record of delivering stable data solutions. The listing asks for seven or more years of professional data engineering or data management experience. Applicants must be eligible to work in their country of application; sponsorship and relocation support are unavailable.
Highlights
- Own and optimize the central data platform and its infrastructure.
- Build reliable pipelines and scalable data products across 60+ brands.
- Establish architecture, data quality, lineage, and metadata practices.
- Collaborate with analytics and AI teams and mentor junior engineers.
Questo recap è un riassunto editoriale di dataskew, non il testo dell'azienda.