Director, Data Engineering

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Hotel Engine

Site WebLinkedInTous les Emplois

201 - 500 employés

Fondée en 2018

🏨 Hôtellerie

📦 Logistique

🛍️ eCommerce

💰 €65 000 000 Series B en 2021-12

Hospitality • Logistics • eCommerce

Hotel Engine est une plateforme performante qui simplifie les voyages d'affaires en permettant aux entreprises de réserver, gérer et économiser facilement sur leurs besoins de déplacement. La plateforme offre un accès à plus de 750 000 hôtels dans le monde entier, permettant des réservations fluides pour divers groupes, des petites équipes aux grands événements corporatifs. Avec des fonctionnalités telles que des rapports centralisés, des options de paiement flexibles et un support dédié, Hotel Engine vise à rationaliser l'expérience de voyage pour les organisations et les voyageurs individuels, garantissant des économies considérables de temps et d'argent.

Description

• Strategic Vision & Roadmap: Define the 2–3 year vision for the data platform. Align data engineering initiatives with overarching company goals to ensure data is a primary driver of business growth. • Organizational Leadership: Build and scale a multi-tiered engineering organization. Foster a culture of technical excellence, mentorship, and high accountability, ensuring a robust leadership pipeline within your team. • Data Governance & Compliance: Establish and enforce global standards for data quality, security, and privacy (GDPR/CCPA). Own the framework for data cataloging and lineage to ensure "one source of truth" across the enterprise. • Operational Excellence & ROI: Optimize the total cost of ownership (TCO) for our data infrastructure. Manage vendor relationships (Snowflake, etc.) and budgets while ensuring the stack scales efficiently with company growth. • Executive Stakeholder Management: Serve as the primary liaison between Engineering and the C-suite. Translate technical debt and infrastructure needs into business value, and turn business requirements into scalable technical architectures. • Innovation & Architecture: Drive the adoption of cutting-edge technologies (AI/ML integration, real-time streaming) to keep Engine at the forefront of the industry.

🎯 Exigences

• Experience: 10+ years in Data Engineering/Software Engineering, with at least 5+ years in senior leadership roles (managing managers or leading large-scale departments). • Strategic Technical Expertise: Deep architectural knowledge of the modern data stack (Snowflake, Airflow, dbt, Airbyte). Experience leading large-scale cloud migrations and designing systems that support both BI and Machine Learning workflows. • Change Management: Proven ability to lead organizations through significant technical shifts and cultural changes, specifically moving from legacy systems to agile, modern architectures. • Business Acumen: Exceptional ability to communicate the 'Why' behind technical investments to non-technical partners. You should have a track record of using data to solve complex business problems. • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related quantitative field. • Mindset: A high-level thinker who isn't afraid to dive into the weeds when necessary, but consistently operates with an eye toward scalability, sustainability, and competitive advantage.

🏖️ Avantages

• Compensation: Competitive base pay tied to role and experience, with opportunities for bonuses, commissions, and equity. • Benefits: Check out our full list at engine.com/culture.