Factory Operation Engineer Job at Randstad (Kuala Lumpur)

Factory Maintenance & Engineering Manager

Lead all maintenance and engineering operations within the factory to ensure unc...

Location

United States , Jacksonville

Salary:

130000.00 - 160000.00 USD / Year

Nestlé Purina

Expiration Date

Until further notice

Requirements

B.S. degree in Engineering, preferably Mechanical, Chemical, or Process
Minimum 5–7 years of experience in a technical field, preferably in a food manufacturing facility including maintenance responsibilities
Supervisory experience in previous assignment
In-depth knowledge of food processing plant and technology
Knowledge of maintenance technologies and operation of utilities
Knowledge of food safety and regulatory requirements for food safety and hygienic engineering (OSH&R)
Understanding of financial analysis and relevant business drivers
Knowledge of Nestlé Standard Costing, Asset and Maintenance Management (AMM), and CAPEX budgeting and preparation (CIAT)
Experience in Project Engineering/Management – Plant Design & Construction
Knowledge of Industrial Services and Energy Management (NEMT)

Job Responsibility

Define, propose and monitor the implementation of the Factory Engineering team’s plans and objectives
Propose and implement work processes, procedures and technical resources related to Factory Engineering
Lead and coordinate the Factory Engineering team and maintain competencies, motivation and performance
Propose and control the Factory Engineering budget as well as the factory's capital investment plans and related capital expenditures
Plan and manage all approved capital projects
Propose and monitor Factory Engineering in accordance with the key performance indicators
Demonstrate and promote the company's values within the Factory Engineering team
Contribute toward the Strategic and Tactical Leadership of the factory and division as a whole
Ensure an attitude of absolute intolerance for unsafe situations within the engineering team
Liaise daily with Production and Quality Assurance to resolve technical issues and ensure optimal operation

What we offer

performance-based incentives
competitive total rewards package
401k with company match
healthcare coverage
broad range of other benefits

Fulltime

Plant Engineer

Location

Japan , Tokyo

Salary:

6000000.00 - 12000000.00 JPY / Year

Randstad

Expiration Date

August 06, 2026

Requirements

Bachelor’s Degree or equivalent education in Science, ideally in Chemistry, Engineering, Physics Electronics
5+ years of working experience in manufacturing, technology-related industry
5+ years of experience in engineering in laboratory, factory, plant
Experience in working in a global, matrixed organization
Fluency in both English & Japanese to conduct complex and technical business communication
Ability to commute and work onsite at the laboratory.

Job Responsibility

Lead planning, development, and management of our technical facility, in collaboration with Japan team and global functional team
Provide technical expertise throughout the project’s execution phase, including planning, engineering, procurement, fabrication, installation, and commissioning
Perform analysis and develop basic instrumentation, control specifications, and sizing of equipment and other infrastructure
Support development and review of basic plant and equipment layout/general arrangement
Work with the Plant Operations Manager to maintain HVAC, electrical and mechanical equipment, gas supply, cryogenic and liquefaction equipment
Monitor and maintain laboratory metrics such as cryogenic system’s index, temperature, and humidity
Work with vendors to ensure laboratory and other supplies are in stock
Support Plant Operations Manager to ensure workplace compliance with Environment, Health and Safety (EHS) requirements
Develop Problem Solving solutions for facility and laboratory environments
Implement corrective/preventive actions for technical issues

What we offer

健康保険 (Health Insurance)
厚生年金保険 (Pension Insurance)
雇用保険 (Employment Insurance)
休憩室 (Break Room)
土曜日・日曜日・祝日休み (Holidays on Saturdays, Sundays, and public holidays).

Fulltime

Senior Data Engineer

Our client is a global jewelry manufacturer undergoing a major transformation, m...

Location

Poland , Wroclaw

Salary:

Not provided

Zoolatech

Expiration Date

Until further notice

Requirements

5+ years of experience as a Data Engineer with proven expertise in Azure Synapse Analytics and SQL Server
Advanced proficiency in SQL, covering relational databases, data warehousing, dimensional modeling, and cubes
Practical experience with Azure Data Factory, Databricks, and PySpark
Track record of designing, building, and delivering production-ready data products at enterprise scale
Strong analytical skills and ability to translate business requirements into technical solutions
Excellent communication skills in English, with the ability to adapt technical details for different audiences
Experience working in Agile/Scrum teams

Job Responsibility

Design, build, and maintain scalable, efficient, and reusable data pipelines and products on the Azure PaaS data platform
Collaborate with product owners, architects, and business stakeholders to translate requirements into technical designs and data models
Enable advanced analytics, reporting, and other data-driven use cases that support commercial initiatives and operational efficiencies
Ingest, transform, and optimize large, complex data sets while ensuring data quality, reliability, and performance
Apply DevOps practices, CI/CD pipelines, and coding best practices to ensure robust, production-ready solutions
Monitor and own the stability of delivered data products, ensuring continuous improvements and measurable business benefits
Promote a “build-once, consume-many” approach to maximize reuse and value creation across business verticals
Contribute to a culture of innovation by following best practices while exploring new ways to push the boundaries of data engineering

What we offer

Paid Vacation
Sick Days
Sport/Insurance Compensation
English Classes
Charity
Training Compensation

Greater Asia Home Care Engineering Lead

Location

Vietnam , Ho Chi Minh

Salary:

Not provided

Unilever

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Engineering or a related field (Master’s preferred)
Minimum of 8-10 years of experience in Operational Management or Project Engineering (may also come from Maintenance Engineering, Production Engineering, Utility Engineering, etc.) with experience delivering projects in FMCG/related industry
Has at least 5 years experience in a leadership role
Self-driven with a strong drive to learn and high intensity to deliver targets
Fluent in English with strong communication skills to collaborate and drive others, mainly site engineering
Familiar with Consumer Goods core processing technology, core packing technology, and factory operation
Proven track record of managing engineering projects and delivering successful outcomes through influence and collaboration
Significant Project/Design Management experience
Deep knowledge/experience of designated Category Technologies
First-hand experience/track record of design or delivery of capital projects within Unilever or similar FMCG environment

Job Responsibility

Lead and drive engineering initiatives by influencing and collaborating with factory teams to ensure high performance and professional growth
Develop and implement engineering strategies that align with the company’s goals and objectives
Foster a collaborative and inclusive environment across various teams
Oversee the planning, execution, and delivery of engineering projects across the Asia region
Ensure projects are completed on time, within budget, and to the highest quality standards
Coordinate with cross-functional teams to ensure seamless project integration
Support the factories’ journey to build the Masterplan and define the best fit technology needed for the future
Develop and deploy the technology framework for each factory for assigned technology, acting as the single point resource for factory engineering teams for technology selection (process design/machine selection)
Support factory engineering teams in Concept & FEED (pre-capex) engineering stages in defining the technical solution, with higher support for newer/higher risk technologies
Identify opportunities for improving capital efficiency via development or rollout of new technologies, qualification of low-cost vendors, and increasing productivity of existing assets (BCT/line speed increase, etc.)

Fulltime

Senior Manufacturing Product Engineer

At Microsoft, our mission is to empower every person and every organization on t...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Electrical Engineering, Computer Engineering, Hardware Engineering or related field AND 5+ years experience in technical engineering, manufacturing, operations, hardware development OR equivalent experience.
Master's Degree in Electrical Engineering, Computer Engineering, Hardware Engineering or related field AND 6+ years experience in technical engineering, manufacturing, operations, hardware development OR Bachelor's Degree in Electrical Engineering, Computer Engineering, Hardware Engineering or related field AND 8+ years experience in technical engineering, manufacturing, operations, hardware development OR equivalent experience.

Job Responsibility

Help deliver on MDO’s strategy to 'Make it. Ship it. Love it.'
Role exists at the intersection of product design and factory execution
Leverages product knowledge, robust engineering methods, and continual improvement mindset to deliver on operational objectives of cost, quality, and scale.

Fulltime

Data Warehouse Engineer

Have very good experience with ETL frameworks and tools on Cloud platforms using...

Location

United States , Hamilton

Salary:

Not provided

eGrove Systems

Expiration Date

Until further notice

Requirements

Very good experience with ETL frameworks and tools on Cloud platforms using Azure Data Factory with SQL or Python
Very good experience in understanding data life cycle and data software development, data engineering with SQL in a Data Warehouse environment, building data pipelines and complex data transformations as well using Relational & NoSQL databases, open data formats, and programming languages such as Python or C#
Ability to use one or more of the following tools for data hunting, testing, analytics, and metrics such as SQL IDE’s, and analytics tools such as Power BI or similar tool
Implemented Surrogate key by using Key Management functionality for newly inserted rows in the Data warehouse
Very good understanding and implementation experience with dimensions and fact table designs
Participated in the identification of key performance indicators and methods for data warehouse to assist with operational and strategic planning
Installed, developed, and maintained a variety of applications to support business intelligence products, data warehouses and reporting systems
Designed and implemented daily data migration between central data warehouse server and application/reporting database server and analyst database server

NPI Product Operations Manager

The NPI Operations Program Manager (OPM) role at Reality Labs offers a unique op...

Location

United States , Sunnyvale, CA +1 location

Salary:

168000.00 - 234000.00 USD / Year

New

Principal AI / Machine Learning Engineer

The Principal AI/Machine Learning Engineer will oversee defining and executing Z...

Location

United States , Secaucus

Salary:

141000.00 - 188000.00 USD / Year

Sanmina

Expiration Date

Until further notice

Requirements

Advanced degree in Engineering, Computer Science, Data Science, or a related field
10–15 years of experience in high-volume, high-complexity manufacturing, with at least 5 years in leadership or transformation roles
Demonstrated expertise in statistical and analytical methods such as regression analysis, correlation analysis, DOE, SPC, PFMEA, Gauge R&R, and commonality studies
Fluency with data-driven tools such as Minitab, JMP, Python, R, SQL (or equivalent)
Track record of driving measurable improvements in yield, reliability, or process robustness
Background in electronics assembly, PCBA, servers, or other high-reliability industries
Experience with applying AI/ML toolsets to statistical problem solving, predictive analytics, or anomaly detection
Experience coaching or mentoring technical teams to upskill in statistical methods and data-driven decision-making
Strong background in leveraging manufacturing data (metrology, vision systems, event logs, quality data) to build AI/ML-enabled solutions
Proven ability to drive organizational changes in data-driven transformations

Job Responsibility

Lead or contribute to transformation initiatives, helping set new standards for how ZT approaches manufacturing risk analysis, quality, and continuous improvement
Partner with leadership to define the vision and strategy for AI/ML adoption across manufacturing operations
Work with factory engineering, quality, and operations to identify, evaluate, and prioritize AI/ML use cases that deliver measurable business value
Collaborate across design, quality, manufacturing, test, and supplier engineering to drive solutions that integrate seamlessly into production
Define and implement new systems, processes, or frameworks that support the smart factory vision, including automation, metrology, advanced inspection, and predictive analytics
Define the organizational, data, and process changes required to prepare the business for AI/ML integration
Drive the design, development, and deployment of AI/ML solutions, ensuring successful adoption across factories
Apply AI/ML techniques to analyze manufacturing data sets – including metrology, vision inspection, event data, test results – conduct regression analysis, correlation studies, and commonality analysis
Leverage deep, data-rich environments and tools (e.g., Minitab, JMP, Python, R, SQL) to generate insights that improve yield, reliability, and throughput
Apply advanced statistical and analytical methods (regression, correlation, DOE, SPC, PFMEA, Gauge R&R, commonality studies) to identify, quantify, and control risk in complex manufacturing environments

What we offer

Competitive base salary
Performance-based annual bonus eligibility
401(k) retirement savings plan
Tuition reimbursement for eligible education programs
Comprehensive medical, dental, and vision coverage with access to leading providers
Mental health resources and employee wellness support programs
Company-paid life and disability insurance
Paid time off (PTO) and company-paid holidays
Parental leave and family care support programs
Structured training programs and on-the-job learning opportunities

Fulltime

Factory Operation Engineer

Randstad

Location:
Malaysia , Kuala Lumpur

Category:
Manufacturing

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
May 05, 2026

Expiration:
June 06, 2026

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