Mid Career Data Engineer, Digital Bank, Tokyo

**About the company:** Money Forward Minato-ku, Tokyo Money Forward is a fintech startup delivering tools to visualize and improve both individuals'​ and companies'​ financial health. **Responsibilities:** As a Mid-level Data Engineer in the MIDAS (Management Integration & Data Analytics System) Data Platform Team, you will build from scratch and maintain the central data hub connecting most systems within one of Japan’s more innovative digital banks. You will work with modern cloud-based data technologies to ingest data from various banking systems, apply complex business logic, and serve it to downstream systems for enterprise management, regulatory reporting, risk management, and many other applications. Due to the high expectations in the banking domain, you will face complex data engineering challenges including data quality, reconciliation across systems, time-critical data processing, and complete traceability. This mid-level position allows you to work with increasing independence on data pipeline development while collaborating closely with senior engineers and the technical lead for guidance on complex problems. Requirements 2-5 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 Japanese: Business Level (Fluent, capable of handling communication with clients in Japanese). English: Business level Nice to haves While not specifically required, tell us if you have any of the following. 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. Compensation ¥5,508,000 ~ ¥9,504,000 annually. **Requirements:** 2-5 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 Japanese: Business Level (Fluent, capable of handling communication with clients in Japanese). English: Business level **Nice to have:** While not specifically required, tell us if you have any of the following. 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. **Compensation:** ¥5,508,000 ~ ¥9,504,000 annually.