- Type
- Full-time
- Department
- Marketing
- Experience
- 5+ years
- Education
- Bachelor
- Closing date
- Today
- Source
- Vincere
Description
Job Title: Data Engineer
Grade: G1 Job Requisition #:
Please enter your SF application number
Reports to: Data Engineering Section
Manager
Team Size: 2
Direct reports: 0
Key Stakeholders:
- Internal: Data Services Department, Data & Analytics Teams, Business Data Owners, IT
Operations, Application Teams
- External: Cloud platform providers, data solution vendors, system integrators
Position Overview:
The Data Engineer is responsible for designing, building, and operating scalable data
pipelines and data platforms that enable reliable analytics, reporting, and data-driven
decision making across the enterprise. The role focuses on ensuring data availability, quality,
and performance while supporting modern cloud-based data architectures and enterprise-
wide data initiatives.
Responsibilities
Main responsibilities include:
• Design, develop, and operate robust data pipelines for structured and semi-
structured data
• Build and maintain enterprise data platforms (data lake, data warehouse, analytics
layers)
• Ensure data quality, consistency, lineage, and availability across source and
consumption layers
• Optimize data processing performance, cost efficiency, and reliability
• Collaborate with business and analytics teams to translate data requirements into
scalable solutions
• Implement monitoring, logging, and alerting for data pipelines and data platforms
• Support data governance, security, and compliance requirements in collaboration
with relevant teams
• Contribute to standardization, documentation, and best practices for data engineering
• Reduce reliance on manual data handling and ad-hoc solutions through automation
and reuse.
Mandatory Requirements:
Education:
✓ Bachelor’s degree in computer science, Engineering, or a related field.
Experience/Skill:
✓ 5+ years of experience in data engineering or enterprise data platform roles
✓ Strong experience designing and implementing data pipelines (ETL/ELT)
✓ Experience with cloud-based data platforms and services (e.g. Azure, AWS, or GCP)
✓ Solid knowledge of SQL and data modeling concepts for analytics and reporting
✓ Experience working with large-scale enterprise data environments
✓ Familiarity with data platform operations, monitoring, and cost management
Competencies (Soft Skills):
✓ Learning: Continuously updates skills in modern data architectures, tools, and
engineering practices.
✓ Agility: Responds effectively to changing data requirements and evolving business
priorities.
✓ Integrity: Handles enterprise and sensitive data responsibly, adhering to governance
and security policies.
Preferred / Nice-to-have Requirements:
✓ Experience with Azure data services (e.g. Data Factory, Synapse, Databricks, Fabric)
✓ Experience with SAP Integration Suite
✓ Knowledge of streaming or near–real-time data processing
✓ Experience supporting BI and analytics tools (e.g. Power BI)
✓ Exposure to data governance, master data management, or data quality frameworks
✓
Required Language Capabilities:
Japanese – native level / fluent / business / conversational / none
English – native level / fluent / business / conversational / none
Other special remarks to note:
Hybrid work style with 2-3 days a week in the office.
Interview Process:
Document Screening + Up to 3 times Interview
What are great things about team and role:
You will be a core contributor to Coca Cola Bottlers Japan enterprise data transformation,
working on modern data platforms that directly support business decision making at scale.
This role offers hands-on ownership of data pipelines and platforms with real business
impact, close collaboration with analytics and business teams, and the opportunity to shape
data engineering standards and practices in a large, complex enterprise environment.