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Factory Scheduler (m/w/d) - Gigafactory Berlin - Brandenburg

Tesla

Factory Scheduler (m/w/d) - Gigafactory Berlin - Brandenburg

Tesla

Grünheide (mark), Brandenburg

·

On-site

·

Full-time

·

Today

What To Expect
We are seeking a highly organized and collaborative Planner to join the dynamic Planning and Scheduling team at GFBB. In this critical role, you will serve as the central coordinator for factory-wide planning efforts, working closely with stakeholders across all departments, including factory planning, construction, engineering, manufacturing and technical services—to define comprehensive schedules, map dependencies, and establish clear priorities.

What You'll Do

  • Reporting to the Planning and Scheduling Lead, GFBB.
  • Develop, integrate, maintain and optimize cross-departmental factory timelines into one master schedule.
  • Identify, analyze, and document critical projects, activities, dependencies, risks, and constraints to prevent roadblocks and delays.
  • Monitor schedule adherence, track variances, and implement corrective actions in partnership with respective teams.
  • Support involved stakeholders by navigating dependencies across interconnected timelines and conduct scenario planning to facilitate decision-making.
  • Organize planning meetings, workshops, and reviews to ensure buy-in and accountability from all stakeholders.
  • Set up a priority based decision-making process for factory leadership to align plans with overall company targets.
  • Create and distribute regular schedule updates, progress reports, and dashboards to align all relevant stakeholders on mutual road map.


    • What You'll Bring

  • BS in a relevant engineering program such as Mechanical Engineering, Electrical Engineering, Engineering Management, Process Engineering or related degree, MS preferred.
  • 2+ years of proven experience in planning and scheduling of engineering scopes, preferably in the automotive industry.
  • Knowledge of scheduling methodology, like CPM, lean principles as well as experience in using scheduling software, preferably Primavera P6 or Asta Powerproject.
  • Strong bias in success in project management, communications, influencing others, cross-functional team interaction, and driving results on time.
  • Excellent communication/ organization/ problem solving/ time management skills as well as open-minded, collaborative and team-oriented attitude.
  • A detail-oriented personality with solid documentation and reporting skills.
  • Preferably experience and/or knowledge in Vehicle, Powertrain and Cell Manufacturing
  • Understanding of engineering fundamentals as well as planning and building an electric vehicle plant
  • Motivated and strong work ethic.
  • Proven interest in Tesla's mission to accelerate the world’s transition to sustainable energy, through extracurricular activities, academic projects, passion projects, or equivalent experiences.
  • Fluent in English, preferably also in German


    • , Tesla

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    About Tesla

    Tesla

    Tesla

    Public

    A financial leasing taxi company that provides vehicles to customers

    140,000+

    Employees

    Ciudad De Panamá

    Headquarters

    $800B

    Valuation

    Reviews

    3.1

    5 reviews

    Work Life Balance

    1.5

    Compensation

    1.2

    Culture

    1.3

    Career

    1.8

    Management

    1.1

    15%

    Recommend to a Friend

    Pros

    Strong financial performance

    Revenue growth

    Company achieving targets

    Cons

    Poor compensation and raises below inflation

    Union-busting and anti-labor practices

    Unpaid work demands and wage theft

    Salary Ranges

    3,570 data points

    Junior/L3

    Mid/L4

    Junior/L3 · Associate Analyst

    2 reports

    $94,875

    total / year

    Base

    $82,500

    Stock

    -

    Bonus

    -

    $92,000

    $97,750

    Interview Experience

    4 interviews

    Difficulty

    3.5

    / 5

    Duration

    14-28 weeks

    Experience

    Positive 0%

    Neutral 75%

    Negative 25%

    Interview Process

    1

    Application Review

    2

    Recruiter Screen

    3

    Technical Phone Screen

    4

    Take-home Assignment

    5

    Panel Interview

    6

    Offer

    Common Questions

    Coding/Algorithm

    Technical Knowledge

    Behavioral/STAR

    System Design

    Machine Learning Concepts

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