Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 81 days ago

Senior Data Engineer, Behavior ML Planning & Prediction

woven-by-toyota142 open roles

Where
Tokyo
Work mode
Hybrid
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowSenior Data Engineer, Behavior ML Planning & Predictionwoven-by-toyota · Tokyo

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on woven-by-toyota's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.6%1 day
  2. 3.4%3 days
  3. 7.8%7 days
  4. 14.3%14 days
  5. 33.7%30 days
This job: posted 81 days ago

The posting

About Woven by Toyota

Woven by Toyota is enabling Toyota’s once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation — expanding what “mobility” means and how it serves society.

Our work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we’re working toward one bold goal: a world with zero accidents and enhanced well-being for all.

=========================================================================

TEAM

WHO ARE WE LOOKING FOR?

RESPONSIBILITIES

  • Own and set the technical direction for the end-to-end data architecture that unifies our data into a coherent, discoverable, and reliable platform — evaluating design and operational trade-offs across scalability, reliability, and cost with a long-term view rather than optimizing locally
  • Design and build data pipelines from ingestion through transformation to serving and visualization — sourcing, modeling, and delivering the canonical datasets that turn raw fleet and simulation logs into trusted, reusable data, and keeping them consistent across teams
  • Set shared technical direction across teams: partner with stakeholders org-wide to understand their data needs, weigh technical trade-offs rigorously and objectively, influence roadmaps, and drive consensus toward a single, trusted data foundation — representing key insights clearly for both technical and non-technical audiences
  • Define and own data products, Service Level Agreements, and the self-serve dashboards and tooling that scale analytics across the organization, along with the monitoring, alerting, and operational practices that keep those promises
  • De-risk major architectural bets before the organization commits to them, using rapid prototypes and focused technical investigations to turn open questions into evidence-based decisions
  • Document architecture, data models, interfaces, and decisions clearly, so that designs, trade-offs, and the resulting datasets are easy for others across the organization to understand, adopt, and maintain
  • Act as a technical leader beyond the team: mentor engineers, establish data engineering best practices and standards that other teams adopt, and raise the data capability of the wider Autonomy organization

MINIMUM QUALIFICATIONS

  • 7+ years of experience building and operating production data pipelines and data platforms at scale
  • Deep command of SQL and a modern programming language (e.g. Python), and hands-on expertise designing robust data models and multi-step ETL/ELT jobs
  • Experience with a cloud data warehouse (e.g. BigQuery, Snowflake, Redshift) and with orchestration and transformation tooling (e.g. dbt, Airflow, or equivalents)
  • Demonstrated ownership of the data architecture for large-scale systems — setting technical direction and reasoning explicitly about scalability, reliability, security, and cost trade-offs
  • A track record of technical leadership across teams — setting engineering standards that others adopt, aligning peers who have competing priorities or differing technical choices, and driving org-wide decisions to closure without formal authority, while growing the capability of other engineers
  • Comfort operating in ambiguity — taking a loosely-defined, cross-team problem and creating the clarity, structure, and momentum to solve it
  • Excellent communication skills in English, with the ability to explain complex technical trade-offs clearly and persuasively

NICE TO HAVES

  • Experience unifying or consolidating data across multiple pipelines, formats, or storage systems onto a common platform, or migrating from bespoke dataset formats to an open table format (e.g. Apache Iceberg) as the basis of a lakehouse architecture
  • Experience establishing data products, contracts, and SLAs for widely-used datasets, along with data-quality frameworks and observability
  • Experience with large-scale, multimodal data — including spatial and temporal/sequential data (e.g. sensor, log, simulation, time-series, trajectory, or scene/snapshot representations) — and modeling it for reliable downstream use
  • Familiarity with autonomous driving or robotics domain concepts (e.g. vehicle motion — kinematics and dynamics, trajectories, coordinate frames; motion planning and prediction; perception; mapping and localization) and how they shape the data we work with
  • Familiarity with distributed data processing (e.g. Spark, Ray), workflow orchestration (e.g. Flyte/Union, Airflow), and columnar/lakehouse formats (e.g. Parquet, Iceberg)
  • Experience building self-serve analytics products, semantic layers, or BI/dashboarding tooling for cross-functional users
  • Business-level proficiency in Japanese

=========================================================================

Important Points

・All interviews will be arranged via Google Meet, unless otherwise stated.

・The same job descriptions are available in both English and Japanese; therefore, we kindly ask that you apply to only one version.

・We kindly request that you submit your resume in English, if possible. However, Japanese resumes are also acceptable. Please note that, depending on the English proficiency requirements of the role, we may request an English version of your resume later in the process.

WHAT WE OFFER

・Competitive Salary - Based on experience

・Work Hours - Flexible working time

・Paid Holiday - 20 days per year (prorated)

・Sick Leave - 6 days per year (prorated)

・Holiday - Sat & Sun, Japanese National Holidays, and other days defined by our company

・Japanese Social Insurance - Health Insurance, Pension, Workers’ Comp, and Unemployment Insurance, Long-term care insurance

・Housing Allowance

・Retirement Benefits

・Rental Cars Support

・In-house Training Program (software study/language study)

Our Commitment

・We are an equal opportunity employer and value diversity.

・Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against woven-by-toyota's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on woven-by-toyota's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    woven-by-toyota's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.