Staff Data Engineer

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 bonus 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

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