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8 дней назад

Engineering Manager (Data Platform)

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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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.

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