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Overview Under the mission of "Money Forward. Move your life forward," Money Forward aims to resolve the financial concerns and anxieties of individuals and businesses through the power of technology. We have partnered with Sumitomo Mitsui Financial Group, Inc. and Sumitomo Mitsui Banking Corporation to establish a new company in preparation for the launch of a new digital bank. We are currently seeking candidates for the position of Data Engineer as part of this initiative. *Based on the press release announced on April 16, 2025. 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. Responsibilities and Duties 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. RequirementsRequired Skills and Experience 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 Preferred Skills and Experience 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. Language Requirements 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). Technology Stack Cloud Infrastructure : .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.