OverviewHa le carte in regola per avere successo?
Le seguenti informazioni devono essere lette attentamente da tutti i candidati.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.Retribuzione / Benefitsperformance-based bonusfree WeRoad trip every year with travel discounttrust-based holidaysopportunities to learn and grownew parent supportmeal vouchers where applicable (8/day)ResponsabilitàLead a small data engineering team (1–2 engineers), owning delivery and career developmentEvolve WeRoad's data architecture: BigQuery warehouse, dbt transformation, and semantic layer for metricsOwn ingestion and orchestration stack (Airflow, dlt) and ensure reliable,



observable pipelinesOversee self-service BI and reporting toolkit (Tableau, Metabase, Lightdash) and enable stakeholder data explorationEstablish and maintain data governance (quality, lineage, documentation, PII and access controls)Drive AI across the team, including AI-assisted engineering and AI data pipelinesCollaborate with Director of Data Engineering & AI, Data & BI, Product, and stakeholders to translate priorities into a data roadmapRequisiti fondamentali5+ years in data engineering / analytics engineering in fast-growing product companiesExperience leading and mentoring engineers in a small, senior teamStrong SQL and hands-on expertise with dbt, modern ELT/ingestion (dlt or similar), xysqume and AirflowExperience with BI and dashboarding (Tableau, Metabase, Lightdash) and building a semantic/metrics layerProven data governance experience (quality, lineage, documentation, PII and access management, self-service)Demonstrable use of AI in engineering and data pipelines and driving adoptionExcellent communication skills; fluent English; comfortable in a fast-paced, multi-market, remote-first environmentexcellent communicationleadership and mentorshipcollaboration across cross-functional teamsBigQuery / GCP experiencedbt knowledgeAirflow and data orchestration

📌 Staff Data Engineer (Arezzo)
🏢 Weroad
📍 Arezzo