Industrial Engineer - Winnipeg, Canada - The Boeing Company

Description

Job Description

At Boeing, we innovate and collaborate to make the world a better place. From the seabed to outer space, you can contribute to work that matters with a company where diversity, equity and inclusion are shared values. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

Boeing Canada Winnipeg is seeking an

, reporting to the Industrial Engineering Manager and working out of the Winnipeg, Manitoba Office.

The Industrial Engineer will be working on day shift supporting our operations customers within an Industrial Engineering capacity.

Position Responsibilities:

• Applies industrial engineering concepts, approaches and techniques to product, process and services to meet program requirements of moderate complexity.

• Maintains and develops plant and equipment layouts, capacity plans, accident prevention measures, sequencing of operations and work flows.

• Supports the evaluation of new techniques and technological developments for integration into the production process and service operations.

• Designs, maintains, and optimizes the production system by integrating design, supply base, facilities, equipment, and personnel.

• Completes work flow design and analysis.

• Develops moderately complex models, databases and spreadsheets to analyze data and provides summary analysis and metrics for consultation to leaders.

• Assists with research, design, development, improvement, and implementation of processes and tools to enhance schedule performance, lower cost, and improve quality, for large scale systems integration and asset utilization.

• Develops and implements plans and programs for facility/factory modifications and revisions to operating methods.

• Provides product assembly instructions and standardizes assembly practices.

• Prepares operations plans, includes work statement analysis, budgeting and forecasts, capacity and constraint analysis and production change, to ensure technical goals and objectives are met.

• Supports execution planning by using project management, planning and scheduling and shop load practices.

• Provides production, supply chain logistics, performance visibility and recovery planning support of moderate complexity.

• Reconciles compliance with established industry safety, design standards and ergonomic guidelines.

This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options.

Employer will not sponsor applicants for employment visa status.

Basic Qualifications (Required Skills/Experience):

• Must be legally able to work in Canada

• Individual must not pose a risk for safeguarding of controlled goods

• Must be eligible to handle US export-controlled data

• Must have a Bachelor of Science Degree or higher in a relevant field of Engineering (Industrial, Management, Manufacturing, or Mechanical Engineering) upon hire

• Be eligible to be registered as an Engineer in Training (E.I.T) with Engineers Geoscientists Manitoba (EGM)

• 1+ years of experience in industrial engineering

Preferred Qualifications (Education/Experience):

• 3+ years of experience in industrial engineering

• Excellent problem-solving and analytical skills, with the ability to apply engineering principles to optimize processes aided by the ability to work with large and complex datasets

• Well-developed communication and interpersonal skills to collaborate with cross-functional teams and effectively convey ideas and recommendations to both technical and non-technical stakeholders

• Experience with data querying languages (e.g., SQL) and data visualization tools (e.g., Cognos, Tableau, Power BI)

• Familiarity with production planning and control systems, including capacity planning, inventory management, and production scheduling

• Experience/understanding of production and business systems (SAP ECC, SAP CAMS, and/or equivalents)

• Demonstrated experience in applying process improvements

• Knowledge of machine learning algorithms and techniques for classification, regression, clustering, and recommendation systems

• Experience with Cognos would be an asset

• Strong programming skills in languages such as Python, R, or Java

• Simulation/Modelling software (ProModel or Simio) proficiency would be an asset

Typical Education and Experience:
Associate (Level 2): Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, computer science, mathematics, physics or chemistry (e.g. Bachelor) and typically 2 or more years' related work experience or an equivalent combination of technical education and experience (e.g. Master).

Mid-Career (Level 3): Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, computer science, mathematics, physics or chemistry (e.g. Bachelor) and typically 5 or more years' related work experience or an equivalent combination of technical education and experience (e.g. PhD, Master+ 3 years' related work experience).

Relocation:
Relocation assistance is not a negotiable benefit for this position. Candidates must live in the immediate area or relocate at their own expense.

This requisition is for a locally hired position in Canada. The employer is Boeing Canada. Candidates must be legally authorized to work in Canada. Benefits and pay are determined by Canada and are not on Boeing US-based payroll. This is not an expatriate assignment.

Applications for this position will be accepted until June 3, 2024, midnight.

Equal Opportunity Employer:

We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law.

We have teams in more than 65 countries, and each person plays a role in helping us become one of the world's most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.