79 mechanical engineering English-speaking jobs in Subcarpathian Voivodeship

We have defined engineering levels with clear criteria - you'll know exactly what each role looks like ... Senior Backend Engineer, you’ll be the backbone of our development efforts and a key driver of our engineering

Requirements Degree in computer science, business informatics, mathematics, data science, industrial engineering

WHAT WE EXPECT Bachelor's degree in Computer Science, Engineering, Business, or a related field. ... Collaborate with cross-functional teams including design, engineering, QA, and product management to

experience with Apache Iceberg and Athena in an AWS lakehouse environment, familiarity with analytics engineering

with large and unfamiliar codebases; Experience with scalable architectures and high-load systems; An engineering

performance and cost of data workloads in GCP, contributing to best practices in data governance and data engineering

We seek new talents to join our engineering teams to advance our international projects, where we build

Product Owner to test and introduce new features Our requirements Degree in IT, Business Informatics, Engineering

Solid understanding of software engineering concepts.

Accenture Industry X empowers organizations to thrive in the digital era by combining deep engineering

ensure consistency of KPIs across domains, participating in establishing best practices for analytics engineering

We have defined engineering levels with clear criteria - you'll know exactly what each role looks like

designing and implementing organizational and process changes and drive convergence between OT (Automation/Engineering

About You Bachelor's degree in Engineering, Manufacturing, Operations Management, or a related technical

They help organizations build cohesive digital ecosystems by combining creative design with robust engineering

Lead the design and engineering of software systems for the AI/ML Platform, contributing to the full

Lead the design and engineering of software systems for the AI/ML Platform, contributing to the full

business use cases,strong practical expertise in the full model lifecycle: data preparation, feature engineering

including LLM-assisted requirements analysis, solution documentation, rapid prototyping, and prompt engineering