12 Π΄Π½Π΅ΠΉ Π½Π°Π·Π°Π΄
Lead Data Engineer
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
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%β25%. 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.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β