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EWIS Design Engineer (m/w/d)

Global-Talent-Exchange

Location

Germany

Experience

8 - NA Years

Employment type

Full time

Job Description

We are looking for an EWIS Design Engineer to join our team in Laupheim. The role involves defining electrical schematics, developing and designing electrical systems on an aircraft, and performing 2D and 3D modeling of electrical wiring routing within the aircraft. You will collaborate with multidisciplinary teams to integrate electrical systems into aircraft design and ensure designs meet certification requirements.

Responsibilities

  • Define electrical schematics (Wiring Diagrams) to ensure system functionality
  • Develop and design electrical systems on an aircraft (EWIS)
  • Design and create electrical harnesses based on customer and industry requirements and standards
  • Perform 2D and 3D modeling of electrical wiring routing within the aircraft
  • Collaborate with multidisciplinary teams to integrate electrical systems into aircraft design
  • Ensure designs meet certification requirements
  • Update and incorporate changes into technical drawings
  • Standardize 3D models and drawings according to customer and industry standards
  • Analyze submitted change requests
  • Research technical specifications when not provided by the customer
  • Identify root causes and resolve problems
  • Provide technical support to production and engineering teams
  • Share technical knowledge with team members
  • Manage multiple projects simultaneously
  • Understand the requirements of AS 9100 standards as they relate to the role
  • Comply with the company's Quality Management System (QMS) procedures and apply related tools when performing tasks

Requirements

  • At least 8 years of relevant professional experience
  • Bachelor's degree in electrical engineering or equivalent
  • Experience in the aerospace or manufacturing sector is an asset
  • Proficiency in MS Office Suite (Word, Outlook, Excel, and PowerPoint)
  • Proficiency with design and modeling software (CATIA V5)
  • Proficiency with Material Resource Planning (MRP) software
  • Knowledge of Mentor Graphics or Corel Draw is an asset
  • Knowledge of design software (AutoCAD, Smarteam, Enovia, and MBOM) is an asset

Skills

  • Strong teamwork and communication skills
  • Sense of responsibility for assigned tasks
  • Strong analytical skills
  • Ability to manage responsibilities and adapt to workflow changes
  • Demonstrated adaptability in a dynamic environment
  • Ability to show initiative

Benefits

  • Collaboration with team player colleagues in a pleasant family atmosphere with modern technology and equipment, short decision paths and flat hierarchies
  • Development opportunities in an expanding company with flexible working hours and home office options
  • Attractive remuneration in line with the market, an occupational pension scheme, 30 days of holiday
  • Grant to "Deutschlandticket" (public transportation)

Wiring Diagrams

2d And 3d Modeling

+ 19 more

Wiring Diagrams
+ 20 more

Senior Data Scientist (Agentic AI)

Global-Talent-Exchange

Location

Germany

Experience

5 - 8 Years

Employment type

Full time

Job Description

We are on a lookout for a hands-on Senior Data Scientist-Generative AI & Agents to join the Vendor Data Team on our journey to always deliver amazing experiences and go beyond prompt engineering into autonomous orchestration: designing agents that generate their own prompts, tools that empower AI with real-world actions, and judge models that validate outputs. Your work won’t sit in research notebooks — it’ll ship.

The Agentic AI team is building the next generation of AI-native products — intelligent systems that reason, act, and adapt. We combine the power of large language models (LLMs), autonomous agents, and retrieval-augmented generation (RAG) to move beyond static prompts and chatbots into dynamic AI systems that solve real problems at scale. We don’t treat LLMs as tools to micromanage — we treat them as collaborators. Our products are designed to build and evolve themselves, leveraging AI to orchestrate workflows, make decisions, and continuously improve. If you’re ready to stop building brittle bots and start building AI that builds AI — this is your playground.

  • Architect and deploy agent-based systems using LangChain, CrewAI, AutoGen, or custom frameworks
  • Build and optimize RAG pipelines — from smart chunking to embeddings and vector search - Fine-tune and evaluate LLMs for reliability, relevance, and factuality
  • Design evolving prompt and memory systems driven by LLMs and user feedback
  • Implement simulation and feedback loops using judge models or agent testing harnesses
  • Partner cross-functionally with product, research, and engineering teams
  • Stay current with the latest research in LLMs, generative modeling, and agent systems

Qualifications

  • Machine learning fundamentals (supervised, unsupervised, reinforcement learning) - Data wrangling and preprocessing (Pandas, NumPy, etc.)
  • LLMs and NLP expertise (Transformers, BERT, GPT, etc.)
  • Prompt engineering & fine-tuning
  • Knowledge of tokenization, embeddings, and attention mechanism
  • Using and fine-tuning Hugging Face models
  • Evaluation metrics for generative models (BLEU, ROUGE, faithfulness, hallucination detection)

Nice to have:

  • Open-source model experience (LLaMA3, Mistral, Mixtral) or custom inference stacks - Judge models, feedback loops, or synthetic user testing architectures
  • Familiarity with prompt injection defenses, output validation, or agent safety
  • Experience deploying generative AI in web or mobile products
  • Academic or industry background in statistics, cognitive science, or human-AI interaction

Additional Information

  • Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week
  • We offer 27 days holiday with an extra day on 2nd and 3rd year of service
  • We will support you in developing yourself and your career growth opportunities: 1.000 € Educational Budget, Language Courses, Parental Support and access to the Udemy Business platform to explore a variety of online courses.
  • Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation, Yoga, Gym & Bicycle Subsidy
  • Cash. Dough. Cheddar. Whatever you call it, we’ll help you with it: Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension Plan
  • The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers, Food Vouchers, Corporate Discounts. Courses.

Ready to join our team? If you’re excited to grow, collaborate and be part of the world’s leading delivery platform, we’d love to hear from you. Apply today!

We believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you. We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experience—just include it in your application. You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.

Machine Learning

Data Wrangling

+ 24 more

Machine Learning
+ 25 more

Manufacturing Engineer (all genders)

Global-Talent-Exchange

Location

Germany

Experience

2 - 5 Years

Employment type

Full time

Your mission

As a Manufacturing Engineer (all genders), you will be instrumental in developing and scaling the manufacturing processes for our aircraft propulsion battery systems. You will work closely with cross-functional teams - including design, testing, and operations - to ensure that our battery production is safe, efficient, and compliant with aerospace standards. Reporting to the Lead Manufacturing Engineer, you will take ownership of process design, equipment selection, facility layout, and continuous improvement initiatives. You will be empowered to drive innovation and quality in a fast-paced, mission-driven environment.

Your Day-to-Day

  • Design and optimize manufacturing processes for battery module and pack assembly.
  • Develop and maintain facility layouts, workstations, and tooling to support safe and efficient operations.
  • Collaborate with R&D and testing teams to ensure manufacturability of new designs.
  • Specify and implement production equipment, including automation and environmental systems.
  • Lead root cause analysis and corrective actions for process-related issues.
  • Ensure that all equipment and infrastructure within the facility are functional, compliant, and ready to support manufacturing activities.
  • Support the transition from manual assembly to semi- and fully automated production lines.
  • Ensure compliance with aerospace manufacturing standards and safety regulations.
  • Document processes, work instructions, and training materials for production teams.
  • Drive continuous improvement using lean manufacturing and Six Sigma methodologies.

Your profile

  • Degree in Mechanical, Industrial, Electrical Engineering or a related field.
  • Proven experience in manufacturing engineering, preferably in battery systems or aerospace components.
  • Strong understanding of manufacturing principles, process validation, and equipment integration.
  • Familiarity with high-voltage systems, thermal management, and battery safety protocols.
  • Experience with CAD tools and manufacturing documentation systems.
  • Knowledge of lean manufacturing, Six Sigma, and quality control systems.
  • Ability to work hands-on in a dynamic production environment.
  • Excellent problem-solving skills and a proactive mindset.
  • Strong communication skills in English; German or another European language is a plus.
  • Passionate about aviation and the electrification of flight.

Why us?

  • Be part of an ambitious team determined to shape the future of aviation.
  • Enjoy flexible working hours: we believe in ownership and trust.
  • Subsidized EGYM Wellpass membership: your (mental) health is important for us.
  • Become a part of our success with virtual stock options.
  • Choose the option that suits your needs: either a free charging station for your electric car or a public transport job ticket as part of the Deutschlandticket.
  • Lease a high-quality bicycle or e-bike through our JobRad program and benefit from tax advantages. Whether for your daily commute or personal use, enjoy more mobility and sustainability.
  • Pension scheme to support your long-term financial security.
  • Boost your professional as well as personal growth executing your own ideas and independent projects.
  • Join our internal social events and retreats (e.g. cooking, game nights, sports).

About us

Our organization is a fast-growing deep tech start-up based in Munich, Germany. Since the restrictions by law on CO2 emissions for domestic and short-haul air travel will stimulate Green Regional Air Mobility, we believe it's our mission to provide an aircraft for Zero emission regional flights. Our goal is to develop, build and certify a full electric microliner carrying up to 9 passengers for Short-Haul and Regional Air Mobility by 2030. A full electric microliner is cleaner and cheaper to operate than other aeroplanes in its class, it provides a better travel experience door to door up to 500 km. We offer new optimized design based on proven principles, around proven and available technology in electric motors and batteries, that brings lowest risk and shortest route to certification.

Manufacturing Processes

Hv Battery Systems Design

+ 21 more

Manufacturing Processes
+ 22 more

Analytics Engineer (m/f/d)

Global-Talent-Exchange

Location

Germany

Experience

2 - 5 Years

Employment type

Full time

Job Description

We are looking to hire a mid-level Analytics Engineer in Berlin who will design, develop, and maintain robust and scalable data pipelines for analytics and reporting purposes.

Main Tasks

  • Implement ETL processes to extract, transform, and load data from diverse sources into our data warehouse.
  • Optimize data models and structures to support efficient and high-performance analytics.
  • Collaborate with data scientists, business analysts, and other stakeholders to understand analytics requirements and translate them into technical solutions.
  • Develop and implement analytical solutions and algorithms to derive actionable insights from large datasets.
  • Contribute to the design and implementation of advanced analytics models and statistical analyses.
  • Stay up to date on industry best practices and emerging technologies in analytics and data engineering.
  • Drive the adoption of best practices in data engineering processes, coding standards, and documentation.
  • Collaborate with data architects to design and optimize data architectures that align with business goals.
  • Ensure the integrity, security, and performance of data solutions through thorough testing and optimization.
  • Contribute to the development and maintenance of data dictionaries, schemas, and documentation.
  • Collaborate with cross-functional teams to ensure alignment between technical solutions and business objectives.
  • Communicate complex technical concepts and insights to both technical and non-technical stakeholders.
  • Participate in knowledge-sharing activities within the analytics team and the broader organization.

Qualifications

Education

  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a proven experience in related fields.

Experience

  • 2+ years of relevant work experience in analytics, data engineering, or a related field.
  • Experience with real-world projects that involve handling and analyzing substantial datasets.

Technical Skills

  • Proficiency in programming languages commonly used in analytics, such as SQL, Python, R, Java or similar.
  • Knowledge of data manipulation, transformation, modeling, orchestration and analysis tools, such as dBT, Pandas, NumPy, Spark, Airflow or similar.
  • Experience with data visualization tools like Looker, Tableau, or Power BI.
  • Familiarity with database systems and querying languages (e.g., Redshift, Big Query).
  • Understanding of data modeling concepts and experience with data warehousing solutions.
  • Knowledge of ETL (Extract, Transform, Load) processes and tools.
  • Ability to analyze and interpret complex data sets to extract meaningful insights.
  • Problem-solving skills with a focus on practical and actionable solutions.
  • Ability to work collaboratively with cross-functional teams, including data scientists, business analysts, and software engineers.
  • Effective communication skills to convey technical concepts to non-technical stakeholders.
  • Experience in managing and prioritizing multiple tasks or projects.
  • Ability to work within timelines and deliver results efficiently.

Additional Information

What’s in it for you?

  • Have an impact. With innovation and smart technology, we are changing the way people travel, and you too can have an impact on this ride.
  • A competitive and attractive compensation package.
  • Subsidized Urban Sports Club membership.
  • A diverse team of more than 45 nationalities.

Diversity makes us stronger

We value diversity and welcome all applicants regardless of ethnicity, religion, national origin, sexual orientation, gender, gender identity, age or disability.

Hiring process and background checks

At our organization, we work in partnership with a screening company. Once a job offer has been accepted, they will be engaged to carry out background screening. They will reach out to you via email and occasionally via telephone/text message so that they can gather all the relevant information required. Consent will be requested prior to any information being passed to our services company.

Recruitment scams: Important notice

Protect yourself from scammers. Our organization wants to ensure your ongoing safety during the application process. Please keep in mind potential scammers impersonating our recruiters (mainly via a global professional networking site, and messenger apps).

Remember, we never request payment or sensitive personal information during the recruitment process. All official job opportunities are exclusively posted on our careers page. If you suspect fraudulent activity, report it to our recruitment team. Remember to cross-reference against our careers page if you question the authenticity, stay vigilant, and protect yourself from recruitment scams.

Intrigued? Apply here in English.

sql

Python

+ 26 more

sql
+ 27 more

Design Engineer (m/f/d)

Global-Talent-Exchange

Location

Germany

Experience

3 - NA Years

Employment type

Full time

Job Description

Your responsibilities

  • Creating 3D models, parametric models, drawings, and bills of materials for the new development and enhancement of gasketed and brazed plate heat exchangers
  • Preparing, editing, and approving mechanical pressure vessel strength calculations
  • Producing standardized customer, catalog, certification, and bolt reference drawings
  • Creating and editing change reports
  • Creating and reviewing assembly instructions
  • Close cooperation with related departments, such as Research and Innovation, in an international environment

Your profile

  • Bachelor’s or Master’s degree in Mechanical Engineering, Thermodynamics, or a related field
  • Minimum 3 years of professional experience
  • Very good knowledge of CAD programs, preferably Inventor
  • Good knowledge of working with parametric models, preferably Inventor iLogic
  • Good knowledge of working with PDM systems, preferably Vault
  • Very good knowledge of thermodynamics
  • Good knowledge of heat exchangers, particularly plate heat exchangers
  • Good knowledge of pressure equipment directives (e.g., ASME or DIN EN 13445) and their analytical calculation
  • Knowledge of FEM (Finite Element Method) calculations
  • Good command of English
  • Good knowledge of common MS Office applications
  • Structured working style
  • Workplace at one of the locations in Sarstedt (near Hanover) or Wilchwitz (near Altenburg), with a willingness for occasional travel to the other site

At our organization, we thrive on collaboration, embracing diversity of thought, and valuing every voice. Creativity shines because people are listened to, their contributions recognized, and their ideas welcomed. Our flexible approach to the way we work places people’s health and satisfaction as a priority, enhancing engagement and fostering career opportunities. We empower engaged individuals to grow, progress and carve their own paths within the company.

CAD

App Inventor

+ 18 more

CAD
+ 19 more
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