This position is closed and is no longer accepting applications.

Data Operations Engineer

TableCheck Chuo-ku, Tokyo March 17 2026
  • 💴 No salary range given
  • 🏡
    Fully remote
    From Japan
  • 🌏
    Apply from abroad
    Relocate to Japan
  • 💬
    No Japanese required
    Fluent English
  • 🧪
    Intermediate level
    2+ years experience required

About TableCheck

TableCheck Chuo-ku, Tokyo

We help diners make restaurant reservations, and we help merchants manage table inventory, enrich dining experiences, and visualize multi-property analytics to gain insights into restaurant performance.

Key benefits

  • Scalable and maintainable
  • Multicultural and full of camaraderie
  • See your work in the wild

About the position

TableCheck, Japan’s leading restaurant reservation management platform, is searching for a skilled Data Operations Engineer for our Data Operations Team. As a member of this team you will own our data-related products and help support our demanding business and developer needs.

We are working on significant improvements to our Data Operations by utilizing new operations frameworks and tooling.

Our new software stack is being built with the latest technologies including dbt, Airflow, and Broadway. We primarily deploy our services using AWS.

Responsibilities

  • Implementing source management through data generation and schema management.
  • Define data ingestion pipelines that normalize and transform clients data to fit our standard data schema.
  • Ensure data meet quality standards and routinely work with our customers, handling their requests and configuring the platform to their needs.
  • The drive to collaborate, gather feedback, solve problems, and tackle challenges through test and learn is highly valuable in this position.

Requirements

  • At least 2 years of experience using Elixir or Ruby for data-related projects in a production environment. Please make sure you fit this requirement before applying!
  • Experience with Python and / or Elixir.
  • Experience with database technologies such as PostgreSQL, SQLite, etc.
  • Experience implementing the Data Engineering Lifecycle in an organization (both code and communication)
  • 2-3 years of experience in a data scientist / data analyst / full-stack programming with Big Data or similar position
  • Proficient with SQL with knowledge of database internals
  • Familiar with machine learning concepts
  • Demonstrated ability to absorb information, manage your own time and commitments, achieve desired results in a highly technical environment
  • A native level of English is required. (No Japanese language knowledge is required for this role.)
  • Must be based in UTC+7 to UTC+12 (Asia / Oceania) or UTC+0 to UTC+1 (Europe)

Nice to haves

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

  • Previous startup experience is highly desired
  • Experience with AWS (API-level)
  • Experience with MongoDB
  • Security related development knowledge, especially related to PII
  • Bachelor’s degree in Engineering, or a related technical field

Hiring Process

  1. 1

    Initial interview

    A one-on-one 15 minute chat over Google Meet to see if we’re the right fit.

  2. 2

    Technical interview

    (Virtually) meet the SRE team at TableCheck to evaluate your skills (no whiteboard or materials required).

  3. 3

    Take-home project

    We will provide you with a 30-60 minute project, which will evaluate your dev and ops skills.

Related jobs

More jobs like this

We'll send you a digest of new English-friendly software developer jobs in Japan. Your email stays private, we don't share or sell it.