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 DoDesign 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
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