★Data Engineer | Sales tech SaaS company

• Business Level Japanese Required (N2 Level)

◆ Flextime & Fully Remote Work

◆ Start-up Company

◆ Annual Salary: 6 million ~ 12 million yen.

【About the company】

The company aims to create a rich society where "true communication" flourishes.

They define "true communication" as not merely conveying information, but as communication that evokes emotion, stirs passion, and appeals to human sensibility. This encompasses various forms of communication: between people, between individuals and society, between companies and society, and both verbal and non-verbal interactions.

Through their business activities, the company strives to build a society where people of rich sensibility resonate with one another.

The company is a SaaS firm with the mission of "reinventing communication to create a society where people care for one another." They provide AI × Voice × Cloud software and databases, primarily in the sales domain.

Recently, they've been developing AI-powered B2B services. This includes creating and offering an AI-powered voice analysis phone that visualizes sales conversations for self-coaching and enables remote work, as well as an AI-equipped online business negotiation analysis tool.

【 Job Description】

【Responsibilities】

You'll collaborate with various products and departments, handling the requirements definition and implementation support for data extraction, aggregation, and visualization based on business needs.

Additionally, you'll be extensively involved in the improvement and expansion of the overall data infrastructure. This includes enhancing audit log and access management operations, automating workflows, conducting PoCs and operationalizing new data integration configurations, and driving data migrations. Specifically, your tasks will involve:

Designing and building data integration/migration pipelines (e.g., Google Cloud DataStream).

Designing and maintaining regular batches, data visualization, and automation jobs using tools like Dataform and Redash.

Ensuring data quality, keeping tables up-to-date, and driving cost optimization initiatives.

Collaborating with various product and cross-functional teams (Customer Success, Development, etc.) to define requirements and support the implementation of data extraction, aggregation, and visualization based on business needs.

Improving operational workflows for data platform audit logs and access management, and automating workflows.

Conducting PoCs and operationalizing new data integration configurations (e.g., RDBMS to BigQuery, manual S3 integrations).

Driving data migration projects.

【Position Highlights】

You'll work in an environment that offers a unique scale, involving the integration and utilization of tens of millions to hundreds of millions of records of large-scale data. You'll be involved end-to-end, from design to operation. A key feature of this role is the ability to engage with both broad technical and business domains, rather than being confined to a specific area.

You'll also have the opportunity to actively participate in technology selection and Proof-of-Concepts (PoCs), collaborating closely with departments like Customer Success, Sales, and Development. This allows you to hone practical data utilization skills that are directly aligned with on-site needs.

What's more, there's significant room for automation and efficiency improvements, giving you the autonomy to drive operational enhancements. The company fosters a culture that actively encourages the introduction and verification of new technologies and tools, making it an ideal environment for those who are highly technology-driven.

The work style is fully remote and fully flexible, allowing for a flexible way of working that fits your lifestyle. You'll play a high-impact role at the core of the company's data infrastructure, directly contributing to business growth through data-driven decisions that support all internal decision-making.

【Development Environment】

Languages: Python, Go, Rust, TypeScript, etc.

Frameworks: Django, FastAPI, etc.

Databases: PostgreSQL, DynamoDB, etc.

Infrastructure: AWS (Fargate, Lambda, Aurora, etc.)

Other Tools: GitHub, Slack, Notion, Docker

【 Requirements】

【Required】

Experience in SQL/database design and operation (BigQuery, RDBMS, etc.)

Experience in ETL/data pipeline construction and operation (Dataform, Cloud Dataflow, Airflow, etc.)

Experience in development and operation with cloud services (GCP, etc.)

【Preferred】

Experience implementing data processing and automation scripts using Python, etc.

Experience designing and operating SaaS-integrated batches such as Salesforce

Experience in large-scale data infrastructure improvement projects, such as cost optimization and table modernization

Data utilization, requirement definition, and dashboard design in collaboration with business departments

CI/CD related knowledge such as Jenkins, GitHub Actions, etc.

Experience in dealing with information security requirements and audits

Business level English proficiency

【Ideal Applicants】

Empathy with the company's mission vision

Embodying the values

Able to work in a team-oriented environment

Good at thinking logically

Highly motivated for personal growth

【Working Hours】

Flextime System

【Holidays】

・Saturday/Sunday/National Holiday

・Annual Paid Leave

・New Year Holiday

・Special Paid Leave

・Congratulations & Condolence Leave

・Summer Holiday

【Welfare】

・Commuting allowance

・Comprehensive social insurance

・Subsidies for books, IT equipment, etc

・Expense coverage for work-related seminars, study groups, and conferences

・Subsidies for online courses (Udemy, Udacity, etc.) and qualification acquisition

・Side jobs permitted

・Stock option program

・15% rule