Job Opportunities API

ABOUT WEROAD: CONNECTING PEOPLE, CULTURES, AND STORIES Founded in 2017, WeRoad is a fast-growing startup that is disrupting the travel industry in Italy, Spain, UK, Germany, France, Switzerland and… the USA! With 200 team members and 4K+ Travel Coordinators, we're a community of travelers who turn every trip into a life-changing experience. We connect like-minded millennials and send them on adventures to 1000+ destinations worldwide. We're on a mission to design and deliver experiences worth living and sharing, through rewriting the rules of the travel industry. Sounds exciting? Before you apply, please read through our Cultural Manifesto 👥 ABOUT THE ROLE JOB TITLE: Data Engineering Manager LOCATION: Full Remote or Hybrid (Milan) TYPE OF CONTRACT: Permanent, full-time SALARY RANGE: €60,000 – €75,000 As Data Engineering Manager, you'll be a hands-on leader — you'll write code, review architecture, and work shoulder-to-shoulder with a small, senior Data Engineering team (1–2 engineers) on the evolution of WeRoad's data architecture: the BigQuery warehouse, the dbt transformation and semantic layers, and the pipelines that turn raw data into trusted, self-service insight across every market. You'll report to the Director of Data Engineering & AI and work hand in hand with the wider Data & BI team, Product, and business stakeholders. It's a small, high-leverage team, so this is a player-coach role by design: you'll set the technical direction, standards, and roadmap, but you'll also be in the code and in the pipelines yourself whenever it counts. You'll take our data platform from solid foundations to best-in-class: a restructured warehouse and semantic layer, near-real-time serverless ingestion, dashboards-as-code, and AI woven through both how we build and what we ship. What you'll do: Lead and grow our Data Engineering team (1–2 engineers) — owning delivery, quality, and career development. Own and evolve WeRoad's data architecture: the layered BigQuery warehouse (raw → marts → serving), the dbt transformation layer, and the semantic layer that defines our metrics. Own the ingestion and orchestration stack — Airflow, dlt, and the move to serverless CDC — and the reliability, quality, and observability of our data pipelines. Own the self-service BI and reporting toolkit (Tableau, Metabase, and our move to Lightdash / dashboards-as-code) so stakeholders can trust and explore their own data. Establish and maintain data governance: data quality, lineage, documentation, PII and access controls, and self-service standards. Drive AI across the team — AI-assisted engineering and production AI data pipelines — and its adoption as a standard practice. Partner with the Director of Data Engineering & AI, the Data & BI team, Product, and business stakeholders to translate company priorities into a data roadmap. What you'll bring to the table: 5+ years in data engineering / analytics engineering in fast-growing product companies, including designing and evolving cloud data warehouses and pipelines (BigQuery / GCP a strong plus) Experience as a manager, leading and mentoring engineers — you know when to delegate, when to manage, and when to be hands-on (it's a small, senior team). Strong SQL and hands-on expertise with dbt, modern ELT / ingestion (dlt or similar), and workflow orchestration (Airflow). Experience with BI and dashboarding (Tableau, Metabase, Lightdash or similar) and building a semantic / metrics layer on top of the warehouse. A track record of establishing data governance — quality, lineage, documentation, PII and access management, and self-service. Demonstrable use of AI-assisted engineering and AI in data pipelines, and driving its adoption across a team. Excellent communication skills Fluent English; comfortable in a fast-paced, multi-market, remote