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manufacturing engineer

Siemens

<div>
 <strong>
  What are my responsibilities?
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develop and improve automation solutions for production lines and special-purpose machines (PLC/HMI, sensors, actuators) to ensure stable and efficient operations.
  </li>
  <li>
   Lead commissioning activities for new machines/lines and support FAT/SAT processes with internal teams and suppliers.
  </li>
  <li>
   Implement and optimize machine vision applications to improve detection accuracy and reduce quality escapes.
  </li>
  <li>
   Establish and maintain machine-to-machine communication and data acquisition (industrial networks / IoT) to support digitalization and traceability.
  </li>
  <li>
   Perform systematic troubleshooting and root cause analysis (5 Why, Ishikawa, etc.), define corrective actions, and ensure sustainable closure.
  </li>
  <li>
   Drive continuous improvement projects using Kaizen / Lean / Six Sigma methods to enhance OEE, reduce downtime, scrap, and cycle time.
  </li>
  <li>
   Create, update, and validate technical documentation (Time-Path diagrams, pneumatic schematics, EPLAN drawings, work/maintenance instructions) with proper revision control.
  </li>
  <li>
   Coordinate effectively with Production, Maintenance, Quality, IT and suppliers; provide technical guidance and trainings when required.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What do I need to qualify for this job?
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   University degree in Mechatronics / Mechanical / Electrical-Electronics Engineering (or related fields)
  </li>
  <li>
   Proven experience in automation concepts and PLC programming (preferably Siemens) and HMI commissioning
  </li>
  <li>
   Experience with machine vision systems and applications (e.g., Keyence, Cognex, or similar)
  </li>
  <li>
   Knowledge and hands-on practice in Industrial Communication / IoT concepts (e.g., Profinet/Profibus, Ethernet/IP, Modbus TCP; OPC UA is a plus)
  </li>
  <li>
   Experience in Kaizen, Lean Manufacturing and/or Six Sigma projects; strong problem-solving mindset (5 Why, Ishikawa, etc.)
  </li>
  <li>
   Ability to create/read Time-Path Diagrams; competence in pneumatic schematics and EPLAN drawing/reading
  </li>
  <li>
   Basic statistics knowledge; able to analyze process data; Minitab experience is preferred
  </li>
  <li>
   Good command of written and spoken English; German is an asset
  </li>
  <li>
   Willingness to work in a production environment and provide hands-on support during commissioning and critical issues when needed
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Offer?
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Speaking up Culture
  </li>
  <li>
   Respectful Workplace
  </li>
  <li>
   Being part of a global work environment
  </li>
  <li>
   Attractive remuneration package
  </li>
  <li>
   Excellent recognition tools providing spot awards
  </li>
  <li>
   Learning &amp; Development opportunities for both personal and professional growth
  </li>
  <li>
   Leave days for parents and a variety of flexible working models that allow time off for yourself and your family
  </li>
  <li>
   Creche allowance for mothers
  </li>
  <li>
   Share matching programs to become a shareholder of Siemens AG
  </li>
  <li>
   Remote working and remote living flexibility only for relevant positions
  </li>
  <li>
   Find more benefits here
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  Individual benefits are adapted to meet local legal regulations, the requirements of different job profiles, locations, and individual preferences.
  <br/>
  <br/>
 </em>
 &ldquo;At Siemens we are always challenging ourselves to build a better future. We need the most innovative and diverse Digital Minds to develop tomorrow &lsquo;s reality.
 <br/>
 <br/>
 As Siemens we believe physical barriers are not related to potential. Only the potential matters to us. Therefore, we look forward to receiving applications from candidates with physical barriers and chronic illnesses. We support healthy relationships between candidates with barriers and their colleagues because we believe we can create differences together.
 <br/>
 <br/>
 Siemens is dedicated to quality, equality, and valuating diversity and we welcome applications that reflect the diversity of the communities within which we work.
 <br/>
 <br/>
 We are looking forward to receiving your online application. Please ensure you complete all areas of the application form to the best of your ability as we will use the data to review your suitability for the role.
 <br/>
 <br/>
 Please find more information from our web site:
 <br/>
 <br/>
 https://new.siemens.com/tr/tr.html
 <br/>
 <br/>
</div>


Manufacturing Engineer

<div><div><div><div><div><div><b>Job ID
</b></div><div>490047
</div></div><div><div><b>Posted since
</b></div><div>29-Dec-2025
</div></div><div><div><b>Organization
</b></div><div>Smart Infrastructure
</div></div><div><div><b>Field of work
</b></div><div>Manufacturing
</div></div><div><div><b>Company
</b></div><div>Siemens Sanayi ve Ticaret Anonim Sirketi
</div></div><div><div><b>Experience level
</b></div><div>Experienced Professional
</div></div><div><div><b>Job type
</b></div><div>Full-time
</div></div><div><div><b>Work mode
</b></div><div>Hybrid (Remote/Office)
</div></div><div><div><b>Employment type
</b></div><div>Permanent
</div></div><div><div><b>Location(s)
</b></div><div><ul><li>Istanbul - Istanbul - Tuerkiye
</li></ul></div></div></div></div></div><div><div><div><div><div><div><p><b>What are my responsibilities?</b></p><p></p><ul><li>
Develop and improve automation solutions for production lines and special-purpose machines (PLC/HMI, sensors, actuators) to ensure stable and efficient operations.</li><li>
Lead commissioning activities for new machines/lines and support FAT/SAT processes with internal teams and suppliers.</li><li>
Implement and optimize machine vision applications to improve detection accuracy and reduce quality escapes.</li><li>
Establish and maintain machine-to-machine communication and data acquisition (industrial networks / IoT) to support digitalization and traceability.</li><li>
Perform systematic troubleshooting and root cause analysis (5 Why, Ishikawa, etc.), define corrective actions, and ensure sustainable closure.</li><li>
Drive continuous improvement projects using Kaizen / Lean / Six Sigma methods to enhance OEE, reduce downtime, scrap, and cycle time.</li><li>
Create, update, and validate technical documentation (Time-Path diagrams, pneumatic schematics, EPLAN drawings, work/maintenance instructions) with proper revision control.</li><li>
Coordinate effectively with Production, Maintenance, Quality, IT and suppliers; provide technical guidance and trainings when required.</li></ul><p></p><p><b>
What do I need to qualify for this job?</b></p><p></p><ul><li>
University degree in Mechatronics / Mechanical / Electrical-Electronics Engineering (or related fields)</li><li>
Proven experience in automation concepts and PLC programming (preferably Siemens) and HMI commissioning</li><li>
Experience with machine vision systems and applications (e.g., Keyence, Cognex, or similar)</li><li>
Knowledge and hands-on practice in Industrial Communication / IoT concepts (e.g., Profinet/Profibus, Ethernet/IP, Modbus TCP; OPC UA is a plus)</li><li>
Experience in Kaizen, Lean Manufacturing and/or Six Sigma projects; strong problem-solving mindset (5 Why, Ishikawa, etc.)</li><li>
Ability to create/read Time-Path Diagrams; competence in pneumatic schematics and EPLAN drawing/reading</li><li>
Basic statistics knowledge; able to analyze process data; Minitab experience is preferred</li><li>
Good command of written and spoken English; German is an asset</li><li>
Willingness to work in a production environment and provide hands-on support during commissioning and critical issues when needed</li></ul><p></p><p><b>
What We Offer?</b></p><div>
<ul><li>Speaking up Culture</li></ul>
<ul><li>Respectful Workplace</li></ul>
<ul><li>Being part of a global work environment</li></ul>
<ul><li>Attractive remuneration package</li></ul>
<ul><li>Excellent recognition tools providing spot awards</li></ul>
<ul><li>Learning &amp; Development opportunities for both personal and professional growth</li></ul>
<ul><li>Leave days for parents and a variety of flexible working models that allow time off for yourself and your family</li></ul>
<ul><li>Creche allowance for mothers</li></ul>
<ul><li>Share matching programs to become a shareholder of Siemens AG</li></ul>
<ul><li>Remote working and remote living flexibility only for relevant positions</li></ul>
<ul><li>Find more benefits here</li></ul></div><p><br>
</p><p><i>Individual benefits are adapted to meet local legal regulations, the requirements of different job profiles, locations, and individual preferences.</i></p><p></p><p>
&ldquo;At Siemens we are always challenging ourselves to build a better future. We need the most innovative and diverse Digital Minds to develop tomorrow &lsquo;s reality.
</p><p>As Siemens we believe physical barriers are not related to potential. Only the potential matters to us. Therefore, we look forward to receiving applications from candidates with physical barriers and chronic illnesses. We support healthy relationships between candidates with barriers and their colleagues because we believe we can create differences together.</p><p>
Siemens is dedicated to quality, equality, and valuating diversity and we welcome applications that reflect the diversity of the communities within which we work.</p><p>
We are looking forward to receiving your online application. Please ensure you complete all areas of the application form to the best of your ability as we will use the data to review your suitability for the role.</p><p>
Please find more information from our web site:</p><p>
https://new.siemens.com/tr/tr.html</p><p></p><div><b><br>
#LI-HYBRID</b></div></div></div></div></div></div></div></div>

Accenture

<div></div><div><div><div><div><div><div><div><div><div><div><p>As Enterprise System Partners (ESP), part of Accenture, we are working in the domain of Manufacturing Execution Systems (MES), which means that the solutions we are working on are directly impacting how factories around the world are managing their manufacturing processes.</p><p><br>
We are looking for an ambitious Junior Manufacturing Execution Systems Engineers ready to take on new challenges. As industries head towards Manufacturing and Factory Digitalization, MES stands in the center of manufacturing excellence.</p><p></p><p><b>
What&rsquo;s in it for you?</b></p><p></p><p>
✨<b>Work-Life Balance: </b>Remote working model / Flexible hours / Birthday off / No dress code / Happy Hours</p><p>
<b>Health &amp; Wellness: </b>Life &amp; Health Insurance / An Employee Assistance &amp; Wellness Program</p><p>
 <b>Financial Benefits: </b>Meal allowance / Employee Referral Bonus Program / Performance bonus &amp; promotion / Accenture Recognition Points
</p><p><b>Professional Development: </b>Learning budget / Personal career development with People Leads / Buddy Program</p><p>
<b>Work Environment</b>: Working on international projects with a globally diverse team / A fast-paced technology environment</p></div></div></div></div></div></div></div></div></div></div>
<br>
<div></div><div><div><div><div><div><div><div><div><div><div><p><b>Key Responsibilities:</b></p><ul><li>This specialization requires experience with the design and deployment of MES systems to replace paper based or manual systems in a life sciences manufacturing environment</li><li>Specifying, designing, developing, documenting, testing and implementing Manufacturing Execution Systems (MES)</li><li>Being responsible to Author/Develop/Configure Electronic Batch Records (EBR)</li><li>Implementing MES solutions and integrating with ERP and control equipment</li><li>Being responsible for the documentation of MES configuration and validation of EBRs</li><li>Working closely with business management and users to define the needs and designing solutions that add value</li><li>Documenting and analyzing the information needs of the business and ensuring appropriate solutions are delivered</li><li>Gathering user requirements in relation to controlling and recording manufacturing activities</li><li>Managing client relationships within the projects</li></ul><p><b><br>
Required Qualifications</b>:</p><ul><li>Bachelors&rsquo; degree or equivalent experience in Science, Engineering or relatable technical degree</li><li>Familiar with highly automated Life Sciences manufacturing environment</li><li>Experience with at least one of the following is a plus: PAS|X, Opcenter, PharmaSuite, XFP, POMS, Camstar or other life sciences compatible MES solutions</li><li>Knowledge of FDA and GMP guidelines and CSV processes is a plus</li><li>Strong written and oral communication skills needed</li><li>Ability to work in a team-oriented, collaborative environment</li><li>Fluency in English &amp; French is a must.</li></ul><p></p><p>
Ready to make an impact? If you are excited about working with cutting-edge technology and participating in thrilling international projects, we want to hear from you! Join Accenture and achieve your goals.</p><p><b>
#GreatPlaceToWork</b></p><p></p><p><b>
Apply Now!</b></p></div></div></div></div></div></div></div></div></div></div>

Junior MES Engineer - French Speaking

SIEGWERK

<div><div>Why Siegwerk?</div><div></div><div><br>
Siegwerk is one of the world&rsquo;s leading suppliers of Printing Inks and sustainable packaging solutions. <b>Right now, we are looking for a &quot;Production Engineer&quot;</b> <b>to join us in Istanbul Tuzla plant.</b></div><div></div><div><br>
This is an outstanding opportunity to make your mark with a genuine global leader in its field. We can offer you significant <b>flexibility</b> and <b>support </b>in a company focused on making a <b>positive impact</b> on the world. Siegwerk is poised to disrupt the global packaging industry; changing the way packaging is produced and consumed for the benefit of us all. At Siegwerk, you will have everything you need to help make that change.</div><div></div><div><br>
Join us, let&rsquo;s <b>Do it. With Heart.</b> Join us, let&rsquo;s <b>Do it. With Heart.</b></div><div></div><div><b><br>
Our Benefits &ndash; What We Offer You?</b></div><ul><li>
Company paid private pension enrollment</li><li>
Access to the global learning platform &ldquo;Siegwerk Learning Hub&rdquo; with more than 20,000 online learning modules accessible worldwide as well as online language training with Speexx</li><li>
Individual development planning program</li><li>
Social benefits (market gift card for religious holidays and New Year)</li><li>
Social and volunteer clubs for employees to join based on their interests</li><li>
External employee consulting ICAS</li></ul><div></div><div><b><br>
Your Tasks &ndash; What You can expect as Production Engineer?</b></div><ul><li>
Plan and ensure availability of raw materials, packaging, intermediates, and finished goods to meet production needs.
</li><li>Optimize resource utilization to prevent bottlenecks and ensure smooth operations.
</li><li>Recommend and implement improvements, standardizations, and developments in production processes.
</li><li>Manage inventory levels effectively to support production and minimize waste.
</li><li>Propose and monitor internal supply chain KPIs (e.g., Days Inventory Outstanding - DIO).
</li><li>Handle operational purchasing of direct materials and ensure timely procurement.
</li><li>Process orders in compliance with established procedures and company policies.
</li><li>Support budget preparation for the production area and monitor adherence.
</li><li>Introduce and manage phase-in/phase-out systems to streamline internal material processes.
</li><li>Lead small-scale projects or support larger initiatives aimed at improving efficiency, quality, or safety.
</li><li>Evaluate suppliers and drive continuous improvement in their delivery performance (if applicable).
</li><li>Manage purchasing of indirect materials (if applicable).
</li><li>Collaborate with production, supply chain, and business units to resolve capacity planning issues.
</li><li>Support supply chain management in achieving strategic and operational goals.</li></ul><div></div><div><b><br>
Your Profile &ndash; What do You bring as Production Engineer?</b></div><ul><li>
Bachelor&rsquo;s degree in Chemical Engineering, Industrial Engineering, or a related field.
</li><li>Proven experience in production planning, inventory management, or supply chain operations.
</li><li>Strong analytical and problem-solving skills.
</li><li>Proficiency in ERP systems and Microsoft Office tools.
</li><li>Excellent communication and project management abilities.
</li><li>Ability to work collaboratively across departments.</li></ul><div></div><p><b><br>
Are you interested?</b></p><p>
Should you have any further questions, please do not hesitate to contact Gizem Karakaya Acar. You can reach her via email gizem.karakaya@siegwerk.com or via LinkedIn.</p><p>
To apply for this position please use Talent@SW.</p></div>

Production Engineer

KoçDigital

<div>
 <p>
  Ko&ccedil;Digital combines the strengths of Ko&ccedil; Holding to support our clients on their most complex digital challenges. Our mission is to deliver sustainable impact, lead with breakthrough insights, and enable organizations through Advanced Analytics and Internet of Things (IoT) solutions, unlocking lasting and tangible benefits for our clients. At Ko&ccedil;Digital, you&rsquo;ll have the opportunity to work with clients across a range of industries, applying cutting-edge analytics to drive practical results and innovations.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Role Profile
  </strong>
 </p>
 <p>
  We are seeking strong candidates with advanced analytics skills to start an exciting career at Ko&ccedil;Digital as part of our Data Science team. This role focuses on building models and conducting data analysis with advanced analytics techniques to provide actionable insights for critical business challenges. You will develop and deploy advanced time series and forecasting models to address key issues in manufacturing and energy, collaborating cross-functionally with domain experts to align solutions with real-world operational needs. As part of our team, you&rsquo;ll be essential to enabling data-driven decision-making and driving operational improvements for our clients.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  &bull; Time Series &amp; Forecasting Model Development
 </p>
 <p>
  &bull; Design, build, and deploy advanced time series and forecasting models to tackle critical challenges in manufacturing and energy.
 </p>
 <p>
  &bull; Implement and optimize algorithms to forecast trends and anomalies in production data, ensuring scalability, accuracy, and reliability.
 </p>
 <p>
  &bull; Optimization &amp; Predictive Analytics
 </p>
 <p>
  &bull; Design and implement optimization models using techniques such as linear programming, constraint programming, and evolutionary algorithms to enhance operational outcomes.
 </p>
 <p>
  &bull; Develop predictive quality models to assess product quality and reduce waste, with a focus on high-quality production standards.
 </p>
 <p>
  &bull; Apply knowledge of manufacturing and energy processes to effectively interpret data insights and drive impactful solutions.
 </p>
 <p>
  &bull; Machine Learning Engineering &amp; Model Deployment
 </p>
 <p>
  &bull; Oversee the end-to-end lifecycle of machine learning models, from development through deployment, monitoring, and retraining.
 </p>
 <p>
  &bull; Utilize ML engineering practices to containerize and automate model deployment using tools like Docker, Kubernetes, or similar platforms.
 </p>
 <p>
  &bull; Implement robust data pipelines and ETL processes for streaming and batch data to ensure seamless data flow across systems.
 </p>
 <p>
  &bull; Cross-Functional Collaboration
 </p>
 <p>
  &bull; Collaborate closely with domain experts, data engineers, DevOps, and product managers to define project requirements and implement solutions.
 </p>
 <p>
  &bull; Communicate complex analytical insights effectively to both technical and non-technical stakeholders, ensuring alignment with business goals.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Experience
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  &bull; 5+ years of hands-on experience in data science, with demonstrated expertise in model building and data analysis.
 </p>
 <p>
  &bull; Ph.D. or Master&rsquo;s in Data Science, Statistics, Engineering, Computer Science, or a related field
 </p>
 <p>
  &bull; Proficiency in Python and SQL for data manipulation, analysis, and model development.
 </p>
 <p>
  &bull; Familiarity with database systems, data lakes, and warehousing solutions.
 </p>
 <p>
  &bull; Strong expertise in time series analysis and forecasting techniques (e.g., ARIMA, exponential smoothing, state space models, Prophet, LSTM, RNN-based models) and anomaly detection.
 </p>
 <p>
  &bull; Advanced understanding of optimization techniques (linear programming, constraint programming, stochastic optimization, and evolutionary algorithms) and their application in operational improvements.
 </p>
 <p>
  &bull; Proficiency in ML frameworks (TensorFlow, PyTorch, Scikit-Learn) and model deployment in production environments.
 </p>
 <p>
  &bull; Knowledge of cloud platforms (AWS, Azure, GCP), MLOps tools (MLflow, Kubeflow), and container orchestration (Docker, Kubernetes).
 </p>
 <p>
  &bull; Experience with data pipeline tools (Apache Airflow, Apache Kafka) and big data technologies (Spark, Hadoop) is a plus.
 </p>
 <p>
  &bull; Domain Knowledge
 </p>
 <p>
  &bull; Prior experience in manufacturing or energy is advantageous, with a strong understanding of processes and industry-specific challenges.
 </p>
 <p>
  &bull; Knowledge of edge computing and IoT integration for smart factories is a plus.
 </p>
 <p>
  &bull; Analytical &amp; Business Acumen
 </p>
 <p>
  &bull; Strong understanding of business processes and the application of advanced analytics to solve industry-specific problems.
 </p>
 <p>
  &bull; Excellent verbal and written communication skills in English.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why Join Us?
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  &bull;
  <strong>
   Impactful Work
  </strong>
  : Contribute directly to optimizing production, reducing waste, and improving efficiency in large-scale manufacturing and energy operations.
 </p>
 <p>
  &bull;
  <strong>
   Innovative Environment:
  </strong>
  Be part of a team that values innovation and adopts the latest data science and machine learning technologies.
 </p>
 <p>
  <strong>
   &bull; Professional Growth:
  </strong>
  Access to continuous learning and development opportunities, including industry conferences and technical workshops.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What we offer:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Akademi Plus - Technical and Personal Development Trainings
  </li>
  <li>
   Ko&ccedil; Group and internal career opportunities/rotations
  </li>
  <li>
   On-campus sports center and Ko&ccedil; Community Sports Club opportunities
  </li>
  <li>
   Flextra - Flexible benefits package
  </li>
  <li>
   Social Support Payments
  </li>
  <li>
   Mobile phone and internet
  </li>
  <li>
   TokenFlex digital meal card
  </li>
  <li>
   Birthday leave
  </li>
  <li>
   The privileged world of being a Ko&ccedil; member with Ko&ccedil; Ailem, Ko&ccedil; Akademi, and Ko&ccedil; Healthcare
  </li>
 </ul>
 <p>
  <br/>
 </p>
</div>


Senior Data Scientist (Manufacturing Focused)

Baykar

<p></p><div><div><div><p>Motor</p>
</div><div><p>Kaynak</p>
</div></div><div><p>Milli Teknoloji Hamlesi&rsquo;nin &ouml;nc&uuml; g&uuml;c&uuml; Baykar&rsquo;da; yerli ve milli y&uuml;ksek teknoloji İnsansız Hava Aracı sistemleri geliştiriyor, kendini kanıtlamış platformlarla k&uuml;resel &ouml;l&ccedil;ekte etki &uuml;retiyoruz. Ar-Ge&rsquo;den &uuml;retime u&ccedil;tan uca m&uuml;hendislik yaklaşımımızla, sınırları zorlayan projelere imza atmaya devam ediyoruz.</p><p>
Birimimiz, ileri motor teknolojilerini geliştirmekte; tasarım, malzeme, &uuml;retim, kalite ve test s&uuml;re&ccedil;lerini entegre bir yaklaşımla y&uuml;r&uuml;tmektedir.</p><p>
Pozisyonun Amacı</p><p>
Havacılık motorları ve ilgili sistemlerde kullanılan kaynaklı imalat s&uuml;re&ccedil;lerinin doğru, kaliteli ve verimli şekilde uygulanmasını sağlamak; &uuml;retim, kalite ve proje ekipleriyle birlikte &ccedil;alışarak g&uuml;venilir ve s&uuml;rd&uuml;r&uuml;lebilir &ccedil;&ouml;z&uuml;mler geliştirmektir.</p><p>
Seni Neler Bekliyor?</p><ul><li>
Kaynaklı imalat sistemlerinin projelendirilmesi ve optimizasyonu s&uuml;re&ccedil;lerinde aktif rol almak,</li><li>
Cihaz-Tesis kurulum s&uuml;re&ccedil;lerinde aktif g&ouml;rev almak,</li><li>
Havacılık ve savunma sanayii i&ccedil;in &ouml;zel proseslere dair imalat y&ouml;ntemlerini geliştirmek ve uygulamak,</li><li>
Kaynaklı imalat s&uuml;re&ccedil;lerini kalite standartlarına uygun şekilde kalifiye etmek,</li><li>
Teknik resim ve CAD verileri doğrultusunda kaynak işlemleri i&ccedil;in uygun prosesler tasarlamak,</li><li>
Kaynaklı imalat sistemlerinin verimliliğini artırmak amacıyla s&uuml;re&ccedil; iyileştirme &ccedil;alışmaları yapmak,</li><li>
Proje takımlarıyla koordineli &ccedil;alışarak, taleplere uygun &ccedil;&ouml;z&uuml;mler geliştirmek,</li><li>
Kaynaklı imalat y&ouml;ntemleriyle ilgili yeni teknolojiler ve y&ouml;ntemler hakkında araştırmalar yaparak yenilik&ccedil;i uygulamalar &ouml;nermek.</li></ul><p>
Genel Nitelikler</p><ul><li>
&Uuml;niversitelerin Metalurji ve Malzeme M&uuml;hendisliği, Makine M&uuml;hendisliği, İmalat M&uuml;hendisliği b&ouml;l&uuml;mlerinden mezun,</li><li>
Havacılık motorlarının kaynaklı imalat sistemleri, proses se&ccedil;imi ve &uuml;r&uuml;n geliştirme s&uuml;re&ccedil;lerine hakim,</li><li>
Havacılık &ccedil;alışmalarında &ouml;zel prosesler kapsamındaki imalat y&ouml;ntemleri hakkında bilgi sahibi,</li><li>
Kaynaklı imalat prosesinde Tungsten İnert Gaz Kaynağı (TIG), Diren&ccedil; Kaynağı, Elektron Işın Kaynağı (EBW) ve Lazer Kaynak y&ouml;ntemleri &uuml;zerine &ccedil;alışmış ve tecr&uuml;besi bulunan,</li><li>
Kaynaklı imalat sistemlerinin kalifikasyon s&uuml;re&ccedil;lerine hakim,</li><li>
WPS, PQR dok&uuml;manları ve AWS standartları hakkında bilgisi olan,</li><li>
Teknik resim okuyabilen ve CAD programları hakkında bilgisi bulunan,</li><li>
İyi d&uuml;zeyde İngilizce bilen,</li><li>
Kaynaklı m&uuml;hendisliği alanında <b>en az 2 yıl deneyimi</b> bulunan,</li><li>
Ekip &ccedil;alışmasına, yoğun &ccedil;alışma temposuna uygun ve &ccedil;&ouml;z&uuml;m odaklı, hızlı aksiyon alabilen,</li><li>
&Ouml;zel prosesler takımında &ccedil;alışmak isteyen ekip arkadaşı aranmaktadır.</li></ul></div></div><div></div>

Kaynak Mühendisi

Kellanova

<div>
 <p>
  The Maintenance Engineer is responsible for maintaining equipment in basic condition and extending its lifetime through adequate and cost-effective (preventive/condition-based) maintenance. He/she is responsible for identifying and eliminating losses/waste, reducing Equipment Breakdowns, reducing unplanned and eventually planned downtime, eventually reducing maintenance cost and improving OEE across Operations through leveraging the KWS methodologies, while maintaining the highest standards in Safety and Quality &amp; Food Safety. He/she ensures that the Maintenance Plan for Operations is continuously updated and executed.
 </p>
 <p>
  The incumbent is expected to carry-out any lawful duties assigned. This position is based in the factory and might not be legible to Locate for Your Day benefits. Limited travel could be required.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   A Taste of What You&rsquo;ll Be Doing
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Manufacturing and Operational Efficiency
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Owns the overall OEE improvement (Breakdown Elimination, Unplanned/Planned Losses) and loss elimination journey for the Maintenance area, in close collaboration with Operations. He/she owns the Maintenance plan, ensures this is continuously updated and timely/efficiently executed (this includes planning, preparation, staging, installing/assembling and testing). He/she analyses shift/weekly/monthly trends and develops &amp; drives relevant action plans to improve.
  </li>
  <li>
   He/she leverages the full KWS toolbox in the journey to eliminate losses in the Maintenance and wider Operations area. The KWS tools help him/her in diagnosing malfunctioning systems, identifying root cause and executing relevant short- and long term improvements.
  </li>
  <li>
   Throughout the Reliability Maintenance journey, Maintenance Engineer actively works to reduce Unplanned Downtime, initially through replacing with Planned Downtime so adequate (preventive/condition-based) maintenance can be executed, afterwards reducing the Planned Downtime whilst further improving OEE and reducing maintenance costs/spare parts inventory.
  </li>
  <li>
   As Maintenance Engineer he/she ensures the long range capital plan is reflecting adequate &lsquo;Repair &amp; Replace&rsquo; interventions and minimizes obsolescence across the facility.
  </li>
  <li>
   He/she owns the equipment asset list and drawings for the facility and ensures this is up to date through regular audits/counts.
  </li>
  <li>
   Managing the maintenance team and providing the necessary direction and administration.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   People
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Fosters proactive, clear, consistent and transparent communication across Operations and the rest of the plant Daily Direction Setting meetings, Toolbox talks, Shift team meetings and Shift Take Overs.
  </li>
  <li>
   Actively drives capability building for the Mechanical and Electrical Maintenance area (esp. shift fitters) and Operations, linked to loss elimination and Management of Change.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Kellanova Work Systems (KWS)
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Actively participates in one or more KWS Centre of Excellence teams and owns one of the critical Daily Management Systems (DMS).
  </li>
  <li>
   Ensures follow up of all critical Maintenance DMSs and actively drives implementation of Reliability Maintenance
  </li>
  <li>
   Actively enforces SAP as the single source of truth (including but not limited to spares, work orders, purchase requisitions, &hellip;).
  </li>
  <li>
   Actively drives benchmarking across other Kellanova facilities to capture learnings and foster reapplication.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Your Recipe for Success
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Degree in the Engineering
  </li>
  <li>
   2-4 years working experience in a supervisory level and proven exposure of managing people in a manufacturing plant.
  </li>
  <li>
   Computer literacy including good command on Microsoft Office Suite
  </li>
  <li>
   SAP
  </li>
  <li>
   Six sigma or LEAN manufacturing
  </li>
 </ul>
</div>


Maintenance Engineer

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Kaynak Mühendisi

Maintenance Engineer