Nous utilisons cookies techniques et statistiques de visites: Yandex Metrica et le journal de visites anonymisé de Zorky. Nous ne vendons jamais de données. En savoir plus sur les cookies et les statistiques.
Zorky est en mode test : tout est gratuit. Ce site n'est qu'une démo : les noms d'entreprises, les liens et votre flux personnel s'ouvrent après inscription. Inscription →
ZorkyZorky
Français
@termdocs
← Toutes les offres

Engineering Manager - Data Platform (m/f/d)

LeadofficeBerlin (Germany), DEil y a 1 j
Stack
athenaawsci/cdgluepythons3sql
Détails
Expérience
5 ans et plus
Pratiques
CI/CD
Afficher l'entreprise et le lien
Gratuit, après connexion.
Postuler
Déposez votre CV : des employeurs et recruteurs de différents pays qui cherchent votre profil pourront vous contacter directement.
Envoyer votre CV →
Description
At AutoScout24, our Data Platform Engineering team builds and operates the AWS-based platform that enables teams across the company to work with data independently. Built around Data Mesh principles, it provides the infrastructure, self-service tooling, and governance that allow domain teams to own and manage their data products. As Engineering Manager, you'll lead the team responsible for developing and operating this platform. The role combines people leadership with strong technical involvement, from architecture and complex engineering problems to reliability, performance, and cost optimization. We're also making AI a native part of how our Data Engineering organization works and how people use our platform. This includes bringing AI directly into the daily workflows of Data Engineers and Analytics Engineers, as well as making the platform more intelligent, easier to use, and more accessible to business users. What you'll do Build a team that takes ownership, makes sound technical decisions, and delivers independently. Evolve our AWS-based data platform, making decisions around architecture, reliability, performance, security, and cost. Work alongside engineers on complex technical problems, including hands-on implementation when needed. Develop and improve self-service capabilities for data pipelines, dataset discovery, access management, and data quality monitoring. Strengthen our Data Mesh implementation, including domain ownership, data contracts, access controls, and
Description complète, entreprise et lien pour postuler : après connexion. Se connecter
Les contacts de l'employeur (e-mail/téléphone/telegram) sont masqués dans l'aperçu public. Envoyez votre CV pour que les employeurs puissent vous contacter directement.
Question urgente ? Écrivez à @termdocs