Staff Data Scientist

2 giorni fa

Genova, Provincia di Genova; Liguria, Italia Weroad Tempo pieno

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As Staff/Lead Data Engineer at WeRoad, you will steer a small, senior data team to advance our data platform from solid foundations to best-in-class. You'll own the data architecture (BigQuery, dbt, semantic layer), ingestion and orchestration (Airflow, dlt, serverless CDC), and self-serve BI tooling to empower multi-market stakeholders. You'll set technical direction, mentor engineers, and contribute hands-on when it matters. You'll also drive AI-enabled data engineering practices across the team, shaping data governance and trust. This role combines leadership with technical excellence to scale data capabilities for a fast-growing travel platform. ~ performance-based bonus ~ free WeRoad trip every year with travel discount ~ trust-based holidays ~ opportunities to learn and grow ~ meal vouchers where applicable (8/day) ~ Lead a small data engineering team (1–2 engineers), owning delivery and career development ~ Evolve WeRoad's data architecture: BigQuery warehouse, dbt transformation, and semantic layer for metrics ~ Own ingestion and orchestration stack (Airflow, dlt) and ensure reliable, observable pipelines ~ Oversee self-service BI and reporting toolkit (Tableau, Metabase, Lightdash) and enable stakeholder data exploration ~ Establish and maintain data governance (quality, lineage, documentation, PII and access controls) ~ Drive AI across the team, including AI-assisted engineering and AI data pipelines ~ Collaborate with Director of Data Engineering & AI, Data & BI, Product, and stakeholders to translate priorities into a data roadmap ~5+ years in data engineering / analytics engineering in fast-growing product companies ~ Experience leading and mentoring engineers in a small, senior team ~ Strong SQL and hands-on expertise with dbt, modern ELT/ingestion (dlt or similar), and Airflow ~ Experience with BI and dashboarding (Tableau, Metabase, Lightdash) and building a semantic/metrics layer ~ Proven data governance experience (quality, lineage, documentation, PII and access management, self-service) ~ Demonstrable use of AI in engineering and data pipelines and driving adoption ~ Excellent communication skills; fluent English; comfortable in a fast-paced, multi-market, remote-first environment ~ leadership and mentorship ~ collaboration across cross-functional teams ~ BigQuery / GCP experience ~ dbt knowledge ~ Airflow and data orchestration

Staff Data Scientist

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