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Job Description
Top 3 Reasons To Join Us
Hybrid working; Flexible time; Macbook Pro
L&D programs; 17 days off
13.7 million B2C users; 140,000+ business customer
The Job
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.
Job Description
- 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.
Your Skills and Experience
Must have
- At least 5 years of experience as a data engineer.
- Development experience with Python and SQL.
- Development and operational experience using AWS.
Nice to have
- Experience in data pipeline orchestration (e.g., Apache Airflow, Cloud Composer, or similar tools).
- 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.
- Development and operational experience using Google Cloud.
- 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.
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: Google Workspace
Caring Mental & Physical Recreation:
- Hybrid working
- Full salary in probation & 13th month salary
- Social insurance on full salary from probation
- Premium Health insurance from probation
- Flexible start 8AM-9AM from Mon-Fri
- 16 days off annually + 1 Birthday Leave
- Paternity leave extra 5 days
- Annual company trip; Quarterly team building activities
- Club activities
- Annual health check
Caring Career & Development:
- Clear Career path
- Foreign language & International technology-related certifications sponsoring
- Well-equipped facility: Macbook pro, additional monitor,..
- Soft skill workshops
- Tech seminars
- Monthly and biannually Recognition Awards
- Performance review twice/year
Benefits
Caring Mental & Physical Recreation:
- Hybrid working
- Full salary in probation & 13th month salary
- Social insurance on full salary from probation
- Premium Health insurance from probation
- Flexible start 8AM-9AM from Mon-Fri
- 16 days off annually + 1 Birthday Leave
- Paternity leave extra 5 days
- Annual company trip; Quarterly team building activities
- Club activities
- Annual health check
Caring Career & Development:
- Clear Career path
- Foreign language & International technology-related certifications sponsoring
- Well-equipped facility: Macbook pro, additional monitor,..
- Soft skill workshops
- Tech seminars
- Monthly and biannually Recognition Awards
- Performance review twice/year