Overview
Since its establishment in December 2020, the Data Engineering Department has been responsible for building and maintaining the infrastructure for data analysis and MLOps, aiming to achieve an "Autonomous Back Office" and "Data Democratization."
We have a department focused on data utilization, and we are also actively hiring and training data analysts and analytics engineers within our product divisions. Our goal is to provide a strong foundation that allows data users to focus on core themes such as analysis and ML.
Responsibilities and Duties
- Develop and operate cross-company data infrastructure.
- Manage data integration and data pipelines.
- Aggregate data from various internal products, services, and CRM tools into a data lake.
- Appropriately distribute the data collected in the data lake to analysis and ML platforms.
- Build and maintain data analysis infrastructure.
- Optimize DWH performance.
- Ensure data quality.
Required Skills and Experience
- At least 3 years of experience as a data engineer.
- Development experience with Python and SQL.
- Development and operational experience using AWS or Google Cloud
Preferred Skills and Experience
- Experience in developing data lake and DWH infrastructure.
- Experience in developing web applications.
- Experience in data processing with distributed systems.
- Experience in database performance tuning.
- 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. (More information here)
Language Requirements
- Japanese Language Proficiency: Business level
- English Language Proficiency: Business level
- Ability to perform the main duties listed above smoothly in English
- Includes conducting interviews and people management tasks in English
*Presentation of quantitative evaluation information equivalent to a TOEIC score of 700 or higher is required
*If you have other qualifications or experiences that demonstrate your English proficiency, please consult with us
Examples: EIKEN Pre-1st Grade, EIKEN 2nd Grade (EIKEN CSE Score 1950 or higher), TOEFL iBT 60 or higher, IELTS 5.0 or higher, Cambridge English FCE, etc.
*Other qualifications or experiences that demonstrate English proficiency are negotiable
*Candidates who do not possess qualifications equivalent to a TOEIC score of 700 or higher will be required to take a company-designated test during the selection process (generally expected after the first interview).
Who We’re Looking For
- Someone who strongly resonates with Money Forward's vision.
- Someone who sees the potential in Money Forward's data.
- Someone committed to contributing to the team and society.
Technology Stack
- Main languages: Python, SQL
- Cloud: AWS, Google Cloud, Azure
- ETL: AWS DMS, AWS Glue, Cloud Composer, Apache Airflow, Trocco, Databricks, Fivetran
- DWH/Analytics environment: BigQuery, Databricks
Tools Used
- Configuration management: Terraform
- CI/CD: GitHub Actions
- Monitoring and logging: Datadog, Cloud Monitoring, CloudWatch
- Project management: JIRA Cloud, Miro
- Documentation: Kibela, Google Workspace
Work Environment
At Money Forward, we provide an environment where we can create world-class services together, and we are looking forward to welcoming you.
- Provided PC Specs: We provide PCs equipped with the latest CPUs (MacOS or Windows). Custom-made PCs tailored to business requirements and replacements with the latest OS are also possible.
- Systems to Enhance the Development Environment: Peripheral devices necessary for work (such as displays, mice, keyboards) can be purchased as office supplies. Generally, you can choose from standard products (catalog), and if conditions are met, you can apply for non-standard products as well.
- Money Forward Library: We have a library system where you can freely borrow books, ranging from technical books to management books. Desired books can be purchased at the company's expense.
- Referral Driven: We cover the cost of recruitment meals. There is a referral reward system.
- Conference Participation Support: The company partially covers participation in domestic and international conferences, such as RubyKaigi and Google I/O.
| 職種 / 募集ポジション | Data Engineer, Data AI Platform Division, Tokyo |
|---|---|
| 雇用形態 | 正社員 |
| 給与 |
|
| 勤務地 | |
| Salary System | <Salary Range> Min 584,000 JPY / month（7,008,000 JPY / year）〜792,000 JPY / month（9,504,000 JPY / year） Each including fixed allowances of 169,534 JPY〜229,888 JPY / month. |
| Bonus | A「High Performance Bonus」may be paid to employees who receive high evaluations based on semi-annual evaluations in addition to their salary. ※Please note that the remuneration of the High Performance Bonus is subject to change according to the company's performance. |
| Probation Period | 3 months from join date |
| Working Hour System | Discretionary Labor System for Professional Work ※Conditions apply; subject to change to Flextime System. |
| Working Hours | 9:30 - 18:30 (60 min break) are the basic working hours. However, employees are able to choose their working hours at their own discretion. ※There is potential for overtime work outside the determined hours. |
| Work Style Policy | Hybrid work style ・As a standard practice, employees are required to work at the office a minimum of 2 days per week. Employees are encouraged to spend 3 or more days in the office. (This policy may be subject to change based on the company and job circumstances) ・The specific "team office days" may vary depending on the assigned team. |
| Holidays/Vacations | ■ Saturdays / Sundays / Japanese national holidays ■ Paid holidays ■ Summer holidays (3 days) ■ Winter holidays (2 days) ■ Year-end and New Year’s holidays (Dec 31st～Jan 3rd) |
| Benefits | ■ Various social insurances (employee pension, health insurance, employment insurance, industrial accident compensation insurance) ■ Neighborhood housing allowance and neighborhood moving allowance ■ Salary-based rent deduction benefit ■ Health check and gynecological checkup ■ Influenza vaccine ■ Book purchases support ■ Defined-contribution corporate pension ■ Employee stock ownership plan ■ Preferential treatment when using the following services（limited to businesses under contract with Money Forward） - Rental agency - Housekeeping services - Babysitting - Online English conversation school |
| Selection Process１ | Casual interview/Document Screening ↓ First interview (Depending on the position, there may be a technical assignment before the interview) ↓ Several interviews (The number of interviews depends on the position) ↓ Final interview (We may ask for a reference check before or after the interview) ↓ Job offer/Offer meeting ※The process may be subject to change depending on the case. |
| Selection Process２ | ■ What are reference checks? Money Forward may ask for your cooperation with reference checks using a reference check service tool. We believe that mutual understanding is limited to the selection process alone. Therefore, we would like to gather information about you from your supervisor and colleagues at your current or former company to ensure a more reliable match and facilitate your early success after joining our company. ※We do not make employment decisions based solely on the contents of reference checks. ※The fact that you are in the selection process with us will not be disclosed to referees. |
| Notes | ・Range of change in job description: Work as determined by the company ・Range of change in work location: Work location as determined by the company |
| Reference Information | https://recruit.moneyforward.com/#introduction |
| 会社名 | 株式会社マネーフォワード |
|---|---|
| 代表者 | 代表取締役社長グループCEO 辻 庸介 |
| 創業 | 2012年5月 |
| 取締役 | 金坂 直哉 中出 匠哉 竹田 正信 石原 千亜希 |
| 社外取締役 | 田中 正明 倉林 陽 安武 弘晃 宮澤 弦 Ryu Kawano Suliawan 菊間 千乃 |
| 監査役 | 畠山 優実 田中 克幸 瓜生 英敏 |
| CxO・VPox | 瀧 俊雄 山田 一也 坂 裕和 松岡 俊 伊藤 セルジオ 大輔 関田 雅和 松久 正幸 野村 一仁 長尾 祐美子 渋谷 亮 金井 恵子 上利 陽太郎 梅田 康吉 |
| 執行役員 | 田平 公伸 本川 大輔 冨山 直道 木村 友彦 永井 博 駒口 哲也 廣原 亜樹 島村 誠一郎 永井 七奈 木村 慎治 丸山 嘉伸 吉本 憲文 工藤 裕之 島内 広史 小山 幸宏 渡辺 恵伍 松村 道夫 岩崎 大 |
| オフィス | 本社オフィス 〒108-0023 東京都港区芝浦3-1-21 msb Tamachi 田町ステーションタワーS 21F 北海道支社 〒060-0061 北海道札幌市中央区南一条西4-5-1 札幌大手町ビル3階 東北支社 〒980-0021 宮城県仙台市青葉区中央2-2-10 仙都会館 5F 東海支社、名古屋開発拠点 〒450-6213 愛知県名古屋市中村区名駅4-7-1 ミッドランドスクエア 13F 京都支社、京都開発拠点 〒604-8004 京都府京都市中京区三条通河原町東入中島町78番地 明治屋京都ビル 4階 関西支社、大阪開発拠点 〒541-0042 大阪府大阪市中央区今橋 2-5-8 トレードピア淀屋橋 9階 広島支社 〒730-0015 広島市中区橋本町9-7 ビル博丈5F 九州・沖縄支社、福岡開発拠点 〒810-0041 福岡県福岡市中央区大名2丁目6-50 福岡大名ガーデンシティ 16F |
| 社内コミュニケーション活性化の取り組み | ■全社週次/月次朝会/半期総会 ■代表との意見交換会（CEOセッション） ■全社懇親会（MF Happy Hour） ■他部門社員との交流会（シャッフルランチ・ディナー） ■上長との定期1on1（ツキイチ面談） ■社内公募制度（MFチャレンジシステム） ■社員満足度調査（MFグループサーベイ） ※一部正社員のみ |
| 労働条件 | 屋内原則禁煙（喫煙室あり）等 |
| 中途採用比率 | 2021年11月末 93.8％ 2022年11月末 90.0% 2023年11月末 76.6％ 2024年11月末 88.7% |