Senior Data Engineer

Job Overview

Are you looking to make meaningful changes at the fastest-growing tech company in Japan? Do you want a fair, highly flexible, and inclusive working environment where anyone, regardless of their background, can make an impact? Join us to build the next bold idea in customer acquisition and revenue growth through conversational commerce technology!

About Us

We are designing conversations that drive conversions. Our automated chat solution and conversational technology change how consumers purchase or act online. With AI-powered, human-designed conversation flows, we help brands create personalized automated conversations with consumers and develop a deeper understanding of their preferences, resulting in a seamless shopping experience.

Your Typical Day

As a Senior Data Engineer, you will be a key player in our data engineering team, responsible for designing, building, and maintaining our data pipelines and infrastructure. You will work on transforming raw data into structured formats to support advanced analytics and reporting. Your work will ensure the smooth ingestion, transformation, and organization of data in our data lakehouse so that it's ready for data analysts to consume and transform into actionable dashboards and reports.

Responsibilities

• Design, develop, and optimize data pipelines to ingest data into our data lakehouse.
• Implement and manage ETL processes using Google Cloud Composer, Dataproc, and dbt.
• Develop data transformations within a medallion architecture (bronze, silver, gold layers).
• Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements.
• Implement data quality checks and monitoring.
• Monitor and optimize the performance of BigQuery datasets and queries.
• Document processes, designs, and architectural decisions.
• Design and develop a read-optimized data warehouse layer.
• Troubleshoot daily reporting pipelines.
• Conduct code reviews and provide mentorship to junior engineers.

What You’ll Need

• 5+ years of experience in data engineering or related roles.
• Strong analytical skills with the ability to manipulate and interpret complex datasets.
• Proficiency in SQL and experience with databases such as MySQL and BigQuery.
• Experience in both Python and Scala is preferred.
• Knowledge of dbt is a must.
• Experience with data platforms like Airflow, Dataproc, Great Expectations.
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams.
• Demonstrated ability to work independently and manage multiple projects simultaneously.
• English proficiency is a must; conversational Japanese is nice to have.

What Makes You Stand Out

• Japanese language proficiency at a business or native level.
• Understanding of cultural differences.
• Knowledge and experience in chatbots, AI, marketing, and SaaS products.

Our Tech Stack

• Backend Languages: Go, Python, Elixir
• Frontend Languages: HTML, CSS, JavaScript (TypeScript, React.js, Recoil, Zod, Tanstack, etc.)
• Infrastructure: Google Cloud Platform, GCP Pub/Sub, Kubernetes, MongoDB, MySQL, Postgres, BigQuery, Elasticsearch, Qdrant
• Configuration Management Tool: Terraform
• CI/CD: Github Actions, ArgoCD, CircleCI
• Monitoring: Grafana, GCP Cloud Monitoring, GCP Logging, GCP Cloud Trace, Opsgenie
• Data: BigQuery, Parquet, Spark, Scala, Python, dbt
• Knowledge Tools: Confluence
• Other: GitHub / Slack / Jira
• Process: Scrum

Why Join Us?

We are dedicated to bringing hospitality to everyone—be it our customers or you! In a highly flexible, remote-first international organization, you will find opportunities for personal and professional growth in a supportive environment.

Additional Benefits

• Competitive salary with performance reviews every 6 months.
• Paid holidays and national holidays.
• Visa support and education support for professional development.
• Flexible working arrangements, including interim work from overseas and full flex time.