50 English-speaking jobs in Opole Voivodeship
Project Manager (Process Mining, SQL) @ Capgemini
- Capgemini
- opole
- August 5
Lead end-to-end process mining implementations, translating business needs into analytical insights and optimizing business processes.
Data Analyst (Process Mining, BI) @ Capgemini
- Capgemini
- opole
- August 5
Lead complex process mining programs and support business transformation initiatives. Requires 5+ years in Process Mining or BI tools, SQL, data modeling, and ERP systems like SAP. Strong communication skills are essential.
DevOps & QA – Internship / Traineeship (unpaid) Posted on 21/11/2025 dev ops Opole
- Bcf-software.com
- Opole
- July 27
- student
- no experience
Junior DevOps / Administrator - Internship Posted on 22/10/2025 dev ops Opole
- Bcf-software.com
- Opole
- July 27
- student
Magazynier / Pracownik logistyki wewnętrznej (m/w/d)
- Kelvion
- opole
- July 27
- warehouse
Warehouse operative responsible for receiving, issuing, and relocating goods. Requires UDT license, knowledge of technical drawings, and adherence to safety regulations.
Engineering - Design Lead Engeener
- Inteva Products
- opole
- July 27
Design Lead Engineer with 10+ years of Instrument Panel and Cockpit design experience. Expert in packaging knowledge, injection molding, and CAD systems. UNIGRAPHICS CAD system expertise and GM Vehicle Assembly Structure (VAS) knowledge required.
Global Test Systems Manager (m/w/d)
- Diehl Controls
- gmina namysłów
- July 27
Lead and develop a global Test Systems team, defining and executing the global strategy and roadmap. Oversee electrical and optical test, including software development and test. Manage the cost center and drive standardization, digitalization, and continuous improvement.
Global OpEx Manager (m/w/d)
- Diehl Controls
- Namysłów County
- July 11
Hardware Engineer in Test Systems (m/w/d)
- Diehl Controls
- Namysłów County
- July 9
AI Expert in Finance & Risk @ Capgemini Invent
- Capgemini Invent
- opole
- July 9
Lead AI initiatives in Finance & Risk, implementing modern AI solutions including generative AI and LLM-based workflows. Analyze existing AI solutions and design data pipelines for AI training and inference. Evaluate and improve model performance, ensuring accuracy and compliance.
















