Manufacturing & Process Engineer

Algoteque supports industrialization and production launch initiatives across the automotive, mobility, electronics, and high-tech sectors.

• Proven experience in manufacturing, industrialization, or process engineering, preferably in automotive, electronics, mobility, or other high-tech industries.
• Hands-on experience with manufacturing environments such as assembly, injection molding, machining, automated production lines, or electronics manufacturing.
• Practical knowledge of PFMEA, Lean Manufacturing, root cause analysis, and continuous improvement methodologies.
• Experience with NPI, production launches, industrial transfers, or process ramp-up.
• Ability to analyze production problems, identify root causes, and implement corrective actions.
• Understanding of manufacturing processes, production equipment, tooling, and quality requirements.
• Ability to work effectively across R&D, Quality, Production, Engineering, and Supply Chain teams.
• Strong analytical and problem-solving skills with a practical, hands-on approach.
• Good communication and organizational skills.
• Communicative English; ability to work in an international engineering environment.

Nice to have:

• Experience in automotive or e-mobility production.
• Knowledge of APQP, PPAP, Control Plans, MSA, SPC, or VDA methodologies.
• Experience with automated manufacturing, robotics, PLC-controlled equipment, or Industry 4.0 solutions.
• Experience working with international production sites and suppliers.
• Knowledge of CAD or manufacturing engineering tools.
• Experience in production capacity planning, line balancing, or takt-time optimization.

• Leading industrialization activities, production launches, and NPI (New Product Introduction) projects from development through serial production.
• Defining, implementing, validating, and continuously improving manufacturing and assembly processes.
• Developing production concepts, process flows, work instructions, and manufacturing documentation.
• Supporting the transfer of products and processes between development sites, production plants, or suppliers.
• Identifying production risks and implementing corrective and preventive actions.
• Conducting root cause analysis and resolving complex manufacturing and process-related issues.
• Applying PFMEA, Lean Manufacturing, 8D, 5 Why, Ishikawa, and other structured problem-solving methodologies.
• Supporting process optimization focused on quality, efficiency, cost reduction, cycle time, and production capacity.
• Cooperating with R&D, Quality, Production, Supply Chain, and external suppliers to ensure production readiness.
• Supporting equipment, tooling, automation, and production line implementation and ramp-up.
• Participating in process validation, capability studies, trials, and production readiness reviews.
• Monitoring process performance and driving continuous improvement throughout the product lifecycle.

Administratorem Twoich danych jest ALGOTEQUE SERVICES SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ, ul. Twarda 18, 00-105 Warszawa, NIP: 5252788792, KRS: 0000784892, REGON: 383274812 (dalej: „Administrator”). Dane przetwarzamy w celu rekrutacji na stanowisko z ogłoszenia — na podstawie Kodeksu pracy (art. 6 ust. 1 lit. c RODO) w zakresie danych obowiązkowych, Twojej zgody (art. 6 ust. 1 lit. a RODO) w zakresie danych dodatkowych oraz naszego prawnie uzasadnionego interesu (art. 6 ust. 1 lit. f RODO) w zakresie obrony przed roszczeniami. Podanie danych wymaganych Kodeksem pracy jest obowiązkowe, pozostałych — dobrowolne. Dane przechowujemy do zakończenia rekrutacji i przez okres przedawnienia roszczeń, a przy zgodzie na przyszłe rekrutacje — do jej wycofania, nie dłużej niż 24 miesiące. Odbiorcami mogą być nasi dostawcy usług rekrutacyjnych, w tym JUST JOIN IT Sp. z o.o., operator serwisów rocketjobs.pl, justjoin.it, rocketjobs.com. Masz prawo dostępu do danych, ich sprostowania, usunięcia, ograniczenia i przenoszenia, wniesienia sprzeciwu oraz skargi do Prezesa UODO. Zgodę możesz wycofać w każdej chwili — bez wpływu na przetwarzanie sprzed wycofania. Dane nie podlegają profilowaniu.