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