4 дня назад
Staff Data Engineer (BigQuery/dbt)
60 000 - 75 000€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Data Engineer (BigQuery/dbt): Evolving WeRoad's BigQuery warehouse, dbt transformation and semantic layers, ingestion pipelines, and self-service BI tooling with an accent on data architecture, governance, and reliability. Focus on leading a small data engineering team, building near-real-time serverless ingestion, and integrating AI into engineering and production data pipelines.
Location: Full remote or hybrid in Milan; candidates must be based in 's legal entities in Italy, Spain, Germany, France or the UK.
Salary: €60,000–€75,000 per year.
Company
is a fast-growing traveltech startup creating group travel experiences across multiple international markets.
What you will do
- Lead a small Data Engineering team of 1–2 engineers, owning delivery, quality, mentoring, and career development.
- Evolve the layered BigQuery warehouse, dbt transformation layer, and semantic layer defining company metrics.
- Own ingestion and orchestration with Airflow and dlt, including the move to serverless CDC and improving pipeline reliability, quality, and observability.
- Develop self-service BI and reporting with Tableau, Metabase, Lightdash, and dashboards-as-code.
- Establish data governance covering quality, lineage, documentation, PII, access controls, and self-service standards.
- Partner with Data & BI, Product, and business stakeholders to define the data roadmap and drive AI-assisted engineering and production AI data pipelines.
Requirements
- 5+ years of experience in data engineering or analytics engineering at fast-growing product companies.
- Experience designing and evolving cloud data warehouses and pipelines; BigQuery and GCP experience is strongly preferred.
- Strong SQL and hands-on expertise with dbt, modern ELT or ingestion tools, and Airflow.
- Experience leading and mentoring engineers while remaining hands-on in a small, senior team.
- Experience with BI and dashboarding tools and with building semantic or metrics layers.
- Fluent English and the ability to work in a fast-paced, multi-market, remote-first environment.
Nice to have
- Hands-on experience with dlt or similar ingestion tools.
- Experience with Lightdash and dashboards-as-code.
- Demonstrable use of AI-assisted engineering and AI in data pipelines.
Culture & Benefits
- Remote-first and flexible hybrid work, with support for working from a chosen destination for up to one month per year.
- Trust-based holidays and a flexible approach focused on impact.
- Annual performance-based bonus and a €1,400 yearly travel discount or free trip.
- Training and learning opportunities, new parent support, meal vouchers, and additional milestone bonuses.
- Co-working space, team buildings, and meet-ups.
Hiring process
- Introductory call with the Talent Acquisition Lead.
- Technical and background interview with the Hiring Manager, followed by a case study and second technical interview.
- Culture Champions interview.
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