*New* Mid/Senior Data Engineer role (bilingual) up to 10M

Senior Data Engineer – Digital Banking Platform (Tokyo / Hybrid)

A leading fintech company is partnering with a major Japanese financial group to launch a next-generation digital bank. As part of this initiative, we’re building a modern, cloud-native data platform and are looking for a Senior Data Engineer to help shape its core foundations.

This role is ideal for someone who enjoys designing scalable data systems, working close to the business, and operating in a regulated environment.

What You’ll Do

• Design and build data pipelines ingesting data from multiple systems (batch & streaming)
• Develop and maintain Bronze / Silver / Gold transformations on a Databricks lakehouse
• Implement data quality checks, reconciliation logic, and monitoring
• Build and optimize SQL- and Python-based transformations (dbt or similar)
• Design data models for analytics, reporting, and regulatory use cases
• Contribute to architecture decisions for the data platform
• Optimize performance through partitioning, Z-ordering, and query tuning
• Implement CI/CD and infrastructure as code (Terraform)
• Collaborate with backend engineers on APIs and data schemas
• Lead initiatives within the data platform and mentor other engineers
• Document best practices and contribute to team standards

What We’re Looking For

• 5+ years of experience in data engineering or analytics engineering
• Strong SQL and Python skills
• Hands-on experience with Databricks, Spark, dbt, or similar tools
• Experience working in AWS environments
• Solid understanding of data modeling (dimensional, data vault, event-driven)
• Experience with data quality validation and testing
• Familiarity with CI/CD, Git, and cloud-native development
• Ability to work independently and communicate clearly across teams
• Experience mentoring or reviewing code is a plus

Nice to Have

• Background in fintech, banking, or other regulated industries
• Experience with regulatory reporting or financial data reconciliation
• Streaming data pipelines (Kafka, Kinesis, etc.)
• REST API development (FastAPI, Flask)
• BI tools (QuickSight, Tableau, PowerBI, Looker)
• Terraform and cost/performance optimization experience
• Experience using AI tools to improve development workflows

Tech Environment

• Cloud: AWS (Tokyo region)
• Data Platform: Databricks, Delta Lake, Lakehouse (Bronze/Silver/Gold)
• Processing: Spark, Databricks Workflows, AutoLoader
• Transformation: SQL, Python, dbt, Delta Live Tables
• Governance: Unity Catalog, fine-grained access control, lineage
• CI/CD & IaC: GitHub Actions, Terraform
• BI: QuickSight, Databricks SQL, external BI tools
• AI Dev Tools: Copilot, ChatGPT, Claude Code

Language

• Japanese: Business level
• English: Business level (or equivalent qualification)

Why Join

• Build a data platform from the ground up for a new digital bank
• Work in a small, fast-growing data engineering team
• High ownership, real impact, and modern tech
• Support for conferences, learning, and up-to-date hardware