We are seeking a bilingual Data Engineer to support a mission-critical team in the insurance and e-commerce domain. In this role, you will design and maintain data pipelines, models, and workflows, ensuring the smooth ingestion, processing, and transformation of large datasets. Working in a global, collaborative environment, you will play an essential role in enhancing reporting, analytics, and business intelligence capabilities for a growing financial services company.
Key Responsibilities
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Build, maintain, and optimize data pipelines for ingestion, processing, and transformation.
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Design and implement data models and database solutions (SQL and NoSQL) to support reporting and analytics.
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Monitor and troubleshoot data workflows to ensure reliability and efficiency.
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Collaborate with stakeholders across teams to support data-driven decision-making.
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Mentor junior staff and share technical expertise when required.
Required Skills and Qualifications
Experience:
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Minimum 3 years in data engineering or related fields.
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Strong proficiency in Python for ETL, data manipulation, and automation tasks.
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Hands-on experience with relational databases (PostgreSQL, MySQL) and/or NoSQL databases (MongoDB, Cassandra).
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Familiarity with cloud platforms for data solutions.
Language Requirements:
Preferred Skills & Attributes
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Ability to communicate effectively with multiple stakeholders, including director-level management.
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Experience mentoring junior staff in technical environments.
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Strong problem-solving skills and the ability to work independently.
About the Company
Our client is a growing company in the insurance and finance sector, offering innovative products and services in e-commerce and technology. The organization fosters a multicultural, international environment, encouraging employees to develop professionally while contributing to high-impact projects.
Why You'll Love Working Here
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Competitive compensation between ¥5.5M-¥8M annually.
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Commuting allowance up to ¥20,000 per month.
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Access to a reimbursed training program for continuous professional development.
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Casual workplace culture with minimal overtime.
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Opportunities for growth within a globally-minded, collaborative environment.
Don't Miss Out - Apply Now!
