Staff Data Engineer
Pubblicato il 26-10-2026 - Weroad in Pordenone
Overview 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 / Benefits
* performance-based premio
* free WeRoad trip every year with travel discount
* trust-based holidays
* opportunities to learn and grow
* new parent support
* meal vouchers where applicable (8/day) Responsabilità
* 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 Requisiti fondamentali
* 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
* excellent communication
* leadership and mentorship
* collaboration across cross-functional teams
* BigQuery / GCP experience
* dbt knowledge
* Airflow and data orchestration