L’offerta in breve
Opinov8: Staff Data Engineer (Databricks specialist). Lavoro da remoto nell’UE, aperto a candidati in Italia. Livello: staff. Contratto: Full-time. Tecnologie indicate: Python, SQL, Scala, Java, Snowflake, BigQuery, Redshift, Databricks, Synapse, Iceberg, dbt, Airflow, Dagster, Kafka, Flink, Spark, Kinesis, AWS, GCP, Azure, Docker, Kubernetes, LangChain, RAG, GraphQL.
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
Opinov8 is hiring a full-time Staff Data Engineer, titled as a Databricks specialist, for a commercial real estate advisory and services client. The role owns architecture across ingestion, transformation, storage, and serving, with responsibility for scalable cloud data platforms and enterprise Master Data Management. It also includes integrating agentic AI, RAG pipelines, and LLM applications into the data estate.
Candidates need 12+ years in data or software engineering, demonstrated platform architecture experience, expert SQL, and strong Python. The scope includes setting engineering standards, establishing governance and observability, leading cross-team design reviews, and mentoring senior and mid-level engineers. Experience with MDM implementation and AI workflow integration is required. The advertised location includes remote work from Europe.
Highlights
- Staff-level architecture ownership across multiple engineering and data teams.
- Databricks-focused title with broader cloud platform requirements.
- MDM, backend APIs, feature stores, vector stores, and ML/LLMOps scope.
- Full-time remote opportunity; salary is not advertised.
Questo recap è un riassunto editoriale di dataskew, non il testo dell'azienda.