Overview

This position involves employment with Money Forward, Inc., and a secondment to the new company (SMBC Money Forward Bank Preparatory Corporation). The evaluation system and employee benefits will follow the policies of Money Forward, Inc.

Qualifications

• 5-8 years of experience in data engineering or analytics engineering
• Strong proficiency in SQL and working knowledge of Python
• Hands-on experience building data pipelines using tools like Databricks, dbt, or similar
• Experience with AWS and its object storage
• Understanding of data modeling concepts including dimensional modeling and fact/dimension tables
• Experience with data quality validation and testing
• Ability to debug and troubleshoot data pipeline issues
• Experience with version control (Git) and basic understanding of CI/CD concepts
• Understanding of basic data governance: access control and audit logging
• Good problem-solving skills and ability to work with moderate independence
• Good communication skills and willingness to ask questions when blocked
• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience

Nice to have

• Experience in financial services, fintech, or regulated industries
• Basic knowledge of banking domain concepts: core banking, payments, or regulatory reporting
• Exposure to data platforms in regulated environments (FISC Guidelines, GDPR, APPI)
• Hands-on experience with Databricks platform or AWS native data services
• Experience with performance tuning: partitioning strategies, file formats, query optimization
• Experience building REST APIs with Python (FastAPI, Flask, or similar)
• Knowledge of streaming data pipelines (Kafka, Kinesis, or similar)
• Basic experience with Terraform
• Experience with BI tools (QuickSight, Tableau, Looker, PowerBI)
• Experience with data visualization and dashboard design
• Interest in obtaining certifications (AWS Certified Data Analytics, Databricks certifications)
• Experience in AI development and/or experience in using AI tools to improve development processes.
• Money Forward recently announced our AI Strategy roadmap which focuses on improving AI-driven operational efficiencies, as well as integrating AI agents into our products to deliver better value to our users.
• English: Business level
• TOEIC score of 700 or above(Note: If you have other qualifications or experiences demonstrating English proficiency, such as EIKEN Pre-1, EIKEN 2nd Grade (CSE score 1950+), TOEFL iBT 60+, IELTS 5.0+, or Cambridge FCE), feel free to discuss with us). For those without a TOEIC 700+ equivalent score, they will be asked to take a designated test during the interview process (generally after the first interview).
• Cloud Infrastructure :
• AWS (primary cloud platform in Tokyo region)
• S3 for data lake storage with VPC networking for secure connectivity
• AWS IAM for security and access management
• Data Lakehouse Architecture :
• Modern lakehouse architecture using Delta Lake for ACID transactions, time-travel, and schema evolution
• Columnar storage formats (Parquet) optimized for analytics
• Bronze/Silver/Gold medallion architecture for progressive data refinement
• Partition strategies and Z-ordering for query performance
• Unity Catalog for centralized governance and metadata management
• Orchestration & Processing :
• Databricks Workflows for managed workflow orchestration
• Distributed data processing with Apache Spark on Databricks clusters
• Serverless compute and auto-scaling clusters for cost optimization
• Streaming and batch ingestion patterns with Databricks AutoLoader