Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
ЗП не указана
На похожих ролях по рынку
$104к$120кмедиана$155к
48 в выборке
На СНГ рынке: $5.5к/мес ($4.7к - $6.3к)
85
Хорошая вакансия
развернуть
У роли понятная зона ответственности и чёткое разделение с продуктовым менеджером, но без указанной зарплаты сложнее оценить финансовые условия.
Кликните для подробной информации
Зарплата не указанаСовременный стекЧёткая рольФокус на AIЗаметные бонусы
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Engineering Manager (Data Platform): Leading a platform-as-a-product for managing and sharing trusted data with an accent on team leadership, Snowflake-based infrastructure, Kafka event streaming, and secure data governance. Focus on designing reliable platform architecture, operating event-streaming systems, and enabling AI agents to access governed data through MCP or A2A.
Location: Hamburg or Berlin, Germany; hybrid work
Company
hirify.global is a business data platform providing reliable data, analytics products, and services for fact-based decision-making.
What you will do
Lead and grow a mixed team of DevOps, software, and data engineers, including hiring, feedback, standards, and shared on-call ownership.
Run the data platform as a product in partnership with the Senior Platform Product Manager and data-producing teams.
Improve platform onboarding, documentation, data reviews, and collaboration with Analytics Engineering and other hirify.global group companies.
Guide access controls, cost safeguards, audits, data contracts, metadata, and governance for secure data sharing.
Own reliable Kafka-based event streaming and guide architecture, build-versus-buy decisions, design reviews, and pull requests.
Use AI tools and automation to improve engineering work and support AI-powered applications accessing platform data.
Requirements
At least five years of experience leading engineering teams, ideally in data platforms, platform engineering, or infrastructure.
Strong data or platform engineering background with experience contributing to architecture discussions and design reviews.
Experience with cloud data warehouses, ideally Snowflake, as well as dbt and orchestration practices.
Hands-on experience with Terraform, Kubernetes, CI/CD, and AWS.
Experience operating Kafka, Amazon MSK, Confluent, or Redpanda with a schema registry.
Knowledge of data governance, including access models, data contracts, catalogues, lineage, and AI agent data access through MCP or A2A.
Culture & Benefits
Hybrid work and flex-time.
Work from abroad for up to 30 calendar days per year.
International team and social events.
Subsidized urban mobility, fitness and wellness options, and mental health support through OpenUp.
Free access to Langdock, plus career and training opportunities.
Modern offices in attractive locations.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →