This position is closed and is no longer accepting applications.

Data Engineer

Zeals Meguro-ku, Tokyo
  • 💴 ~ ¥7M annually
  • 🏡 Fully remote (from Japan)
  • 🧪 Minimum years of experience unspecified
  • 💬 No Japanese required
  • 🌏 Apply from abroad
  • 🧳 Relocate to Japan

About Zeals

Zeals Meguro-ku, Tokyo

We are a group of scrappy and hungry bunch from different walks of life, looking to make an actual impact on the way people and businesses communicate through our AI Chatbot technology.

Key benefits

  • Everyone has a voice
  • Phenomenal growth
  • Full flexibility

About the position


  • Develop a data pipeline supporting our growing data needs
  • Perform the design and extension of data marts, meta data, and data models
  • Help designing a data lake house using the latest technologies and ideologies
  • Help deprecate legacy code and replace it with new architecture
  • Improve our data quality and scalability of our data-reliant systems
  • Collaborate with other teams and departments to create value from data


  • 3+ years of proven experience as a data engineer or similar role
  • Experience in modern data warehouse design (Dimension, facts, marts, slowly changing dimensions etc)
  • Experience with troubleshooting issues in data pipeline processes.
  • Experience in managing data flows from/ to data lake
  • Advanced SQL knowledge
  • Experience with Python for provisioning data pipelines
  • Experience with products like Apache Spark, Apache Airflow, Apache Flink, Apache Beam or related services.
  • Have experience in GCP including BigQuery or related services in other cloud providers.
  • Has an eye for modern data architecture
  • Previous experience in creating a large-scale data pipeline
  • Communicate effectively under pressure in a highly collaborative and fast-paced environment.
  • Ability to liaison with all members and leaders of different nationalities and backgrounds.
  • Continuous learning and improvement mindset

Nice to haves

While not required, tell us if you have any of the following.

  • Hands on experience with a data lakehouse
  • Hands on experience on Kubernetes, Kubeflow, CI/CD tools, cloud provisioning like Pulumi/Terraform.
  • Hands-on experience with data governance tools.
  • Being able to build a data pipeline from the ground up.
  • Have strong attention to data quality and cost of ownership for elements


Up to 7 million JPY annually.

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