608 civil engineering English-speaking jobs in Munich

· Bachelor's degree in Information Technology, Computer Science, Engineering, or related field.

Android ecosystem Qualifications A University degree in a relevant field of study ( computer science, engineering

iOS ecosystem Qualifications A University degree in a relevant field of study ( computer science, engineering

operational tools, from prioritisation and delivery to continuous improvement, working closely with engineering

Strong understanding of technical products, systems engineering, programme delivery, and contractual

health, manage risk proactively, and build success plans for at-risk accounts Coordinate with Product, Engineering

Experience with Siemens EDA tools or competing EDA platforms Background in semiconductor design or test engineering

in natural sciences, mathematics, statistics, geosciences, hydrology, climate science, data science, engineering

studying an undergraduate or graduate degree with great academic success at a renowned university (e.g., engineering

Qualifications MS Electrical Engineering. 7+ years of mixed-signal integrated circuit development experience

Qualifications Experience & Expertise: 3-5 years in engineering, semantic modeling, or information/knowledge

engineers on architectural best practices and clean code principles Collaborate closely with product and engineering

. · Bachelor's degree in Life Sciences, Pharmacy, Engineering, Computer Science, Information Systems,

A degree in a quantitative field (computer science, statistics, mathematics, physics, engineering, or

workshop, its tooling, machines, processes, and standards, becoming a key part of how we move from engineering

Bachelor's or Master’s degree in Engineering, IT, or a related technical discipline,  Minimum 7 years

Additionally, you have practical experience with version control systems (, Git/GitHub) and modern software engineering

founders and senior leaders on high-priority initiatives across Market Expansion, Partnerships, Solutions Engineering

practice (risk-adjusted metrics, overfitting controls, walk-forward validation) Python and software-engineering

DirectionEnsure robust methodologies for modeling, attribution, forecasting, and visualization.Partner with Data Engineering