L’offerta in breve

Block Labs: Data Platform Engineer. Lavoro da remoto nell’UE, aperto a candidati in Italia. Livello: senior. Contratto: Full-time. Tecnologie indicate: SQL, BigQuery, Redshift, DynamoDB, Airflow, Kafka, Spark, AWS, Kubernetes, Terraform, SageMaker.

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

Block Labs is hiring a Data Platform Engineer to build the data backbone for its products, supporting real-time decisioning, predictive modelling, and AI agents. The role owns end-to-end pipelines that serve a unified analytical warehouse and feature-serving layer across a multi-tenant platform.

You will design batch and streaming workflows, optimize ClickHouse, build data contracts and low-latency feature delivery, and integrate third-party systems. The work also includes observability, data quality, CI/CD, and infrastructure as code. You will collaborate with data scientists, AI engineers, BI developers, and infrastructure teams in a small, high-autonomy Data function. The role asks for at least three years operating production pipelines and hands-on experience with Kafka, SQL, Spark, and cloud data infrastructure. Block Labs works fully remotely and prefers EU time-zone overlap.

Highlights

Own real-time and batch data pipelines for a multi-tenant platform.
Build warehouse and feature-serving capabilities for analytics and AI.
Work with Kafka, ClickHouse, PySpark, and AWS data services.
Fully remote, with EU time-zone overlap preferred.

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