Staff Data Engineer
Pubblicato il 25-10-2026 - Weroad in Bari
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