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Monthly
€5,000 - €6,250
Posted July 22, 2026 · 16 days agoLast seen August 8, 2026Est. expiry August 26, 2026

Data Engineering Manager

Milan, Italy
Hybrid · Data & Analytics
Full-time · Manager
English
People Manager
5 years experience
How this salary compares
Salary Context: Data Engineering Manager

Hover or tap a row for full statistics (EUR / month on this chart).

Salary analysis

Compared with the selected benchmark ("All roles in Remote - Global"), this listing's salary midpoint is about 34% lower. The offer still falls within the benchmark range (€2,357–€14,758). The listed pay band (€5,000–€6,250) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 348 comparable listings.

Monthly salary comparison for Data Engineering Manager
MarketLower bound (25th percentile)MedianUpper bound (75th percentile)
All roles in Remote - Global€2,357/per month€6,722/per month€14,758/per month
From job ad (Manager)€5,000/per month€5,625/per month€6,250/per month
About the role

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. 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-first environment. What we can offer - Performance-based bonus – A discretionary annual variable bonus, based on performance and company results. - A free WeRoad trip every year – Choose your dream destination with €1,400/year travel discount or travel even more as a Travel Coordinator. - Trust-based holidays – We believe performance is driven by impact, not by hours at a desk. You are encouraged to take the time you need to recharge, beyond contractual minimums, within shared guidelines. - Opportunities to learn – We invest in your growth with training and learning opportunities. - New parent support – €3,600/year for 3 years after birth or adoption (or prorated if your child is under 3 when you start at WeRoad). - Extra benefits – Meal vouchers (€8/day – when applicable), a €1,000 bonus for your wedding or civil union, and a one-off bonus when you hit 5 years with us. - Fun – A vibrant co-working space, team buildings and meet-ups. - Hybrid working – Flexible working, and we support you to work from your destination of choice up to 1 month per year. The selection process will consist of: - Introductory call with Talent Acquisition Lead - Technical and background-based interview with Hiring Manager - Case Study and Second technical interview - Culture Champions step

Job Details

Responsibilities

  • Lead and grow the Data Engineering team (1–2 engineers)
  • Own and evolve the layered BigQuery warehouse, dbt transformation layer, and semantic layer
  • Own the ingestion and orchestration stack (Airflow, dlt, serverless CDC)
  • Manage the self-service BI and reporting toolkit (Tableau, Metabase, Lightdash)
  • Establish and maintain data governance standards
  • Drive AI adoption for engineering and production data pipelines
  • Partner with stakeholders to translate company priorities into a data roadmap

Requirements

  • 5+ years in data engineering / analytics engineering in fast-growing product companies
  • Experience designing and evolving cloud data warehouses and pipelines (BigQuery / GCP a strong plus)
  • Experience as a manager, leading and mentoring engineers
  • 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)
  • Track record of establishing data governance (quality, lineage, documentation, PII and access management)
  • Demonstrable use of AI-assisted engineering and AI in data pipelines
  • Excellent communication skills
  • Fluent English

Skills & Technologies

SQLdbtAirflowBigQueryGCPdltTableauMetabaseLightdashAI-assisted engineering

Recruitment Process

  1. 1
    Introductory call with Talent Acquisition Lead
  2. 2
    Technical and background-based interview with Hiring Manager
  3. 3
    Case Study and Second technical interview
  4. 4
    Culture Champions step
Seen 110 minutes agoContent Complete
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Weroad · 21 open roles
Top locations: Remote - Global · 11 · Remote · 2 · Milan, Italy · 2+6 other locations
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