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12 Π΄Π½Π΅ΠΉ Π½Π°Π·Π°Π΄

Lead Data Engineer

Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
onsite
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
lead/director
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
Japan
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

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TL;DR
Lead Data Engineer (Data Platforms/AI): Building and operating enterprise data platforms and pipelines for analytics, AI, and data products across the Japan and South Korea operating unit with an accent on scalable architecture, automation, CI/CD, and governed data integration. Focus on leading the data engineering function, solving complex integration challenges across system, bottler, and partner sources, and balancing delivery pressure with long-term platform sustainability.

Location: Tokyo, Japan. Travel required: 0%–25%. Relocation is not provided.

Company

A global beverage company undergoing a digital transformation focused on data, technology, AI, and scalable digital capabilities.

What you will do

  • Own ETL and data pipeline engineering for operating-unit data products and platforms.
  • Translate data strategy into technical roadmaps, platform designs, and multi-year engineering plans.
  • Design, build, and operate scalable enterprise data platforms aligned with global architecture standards.
  • Automate pipelines and operations while improving CI/CD reliability, platform performance, and resilience.
  • Integrate system, bottler, and partner data into governed platforms and deliver end-to-end data products with data science, governance, and product teams.
  • Build and lead the data engineering team, manage vendor engineering resources, and represent data engineering in governance forums.

Requirements

  • 10+ years of data engineering experience covering ETL/ELT, data platforms, and pipeline operations, with progression into leadership.
  • Demonstrated experience building and leading data engineering teams.
  • Strong proficiency with modern data stacks, cloud data platforms, orchestration, and CI/CD.
  • Experience designing scalable data architectures aligned with enterprise standards.
  • Experience with governance or architecture review forums, vendor management, and Agile delivery.
  • Business-level English and Japanese required.

Culture & Benefits

  • Growth-oriented culture centered on continuous learning and experimentation.
  • Inclusive and agile working environment with emphasis on curiosity and empowerment.
  • Opportunity to shape data engineering standards and capabilities across the operating unit.
  • Role includes collaboration with global platform teams, local stakeholders, and external vendors.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’