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Sr Innovation Design Eng World Wide Fulfillment Engineering jobs at Amazon in Luxembourg, Luxembourg

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Luxembourg
56 jobs found
08.11.2025
A

Amazon EU Process Engineer AMZL Standards & Innovation Luxembourg, Luxembourg

Limitless High-tech career opportunities - Expoint
Description:
Description

Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months, requiring flexibility to work in rotational shifts.Key job responsibilities
As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data.- Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
- Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines
- Performing audits and quality checks of tasks completed by other specialists, if required
- Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks
- Diving deep into issues and implementing solutions independently
- Identifying and reporting tooling bugs and suggesting improvementsA day in the life
We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data.

Basic Qualifications

- Bachelor’s degree in a relevant field or equivalent professional experience
- 2+ yrs of experience working with written language data, including experience with annotation, and other forms of data markup.
- Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.
- Excellent attention to details and ability to focus for a long period of time
- Ability to effectively write and evaluate diverse subject matter across various domains*
- Ability to adapt writing style to suit various style guidelines and customers.
- Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy


Preferred Qualifications

- Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale).
- Experience with creating complex data for LLM training and evaluation
- Strong understanding of U.S.-based culture, society, and norms.
- Comfortable with high-school level STEM*
- Familiarity with common markup languages such as HTML, XML, Markdown
- Familiarity with common standard text formats such as JSON, CSV, RTF
- Working knowledge of Python or another scripting language
- Familiarity with regular expressions syntax
- Familiarity with Large Language Models
- Comfort in annotation work that may include sensitive content

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14.10.2025
A

Amazon Sr Process Engineer AMZL WW Engineering Luxembourg, Luxembourg

Limitless High-tech career opportunities - Expoint
Description:
Description

This role can be based in any of the below AMZL corporate offices: London, Madrid, Milan, Paris, Luxembourg, Barcelona, Munich with circa. 30% travel required.This position requires deep customer focus, strong autonomy and exceptional project management skills. It will involve regular communication with executors and project sponsors at both the European and worldwide level, and requires you to be detail-oriented and comfortable partnering across functional business and technical teams. To be successful in this role, you need to pair strong analytical skills and a data-driven outlook with strong intuition.
Key job responsibilities
- Lead the design and development of new processes, equipment, process-flows, Infrastructure across all processpaths with AMZL
- Optimize existing processes/equipment and program manage the expansion of new processes/equipment from concept to deployment
- Own and drive programs that improve capacity, productivity, safety and Ergonomics within Delivery Stations- Tracks metrics to identify areas of improvement across all processpaths- Creates strategy for long term roadmap
A day in the life
Your day could include engagement with all levels of the organization and multiple stakeholder groups to drive short, mid and long term decisions that have impact on a large scale across the AMZL network. You would also be working with partners from Operations, Process Improvement, Health and Safety, Ergonomics, Finance, Procurement and external vendors to design and deploy new equipment and processes for the multiple process paths in AMZL Delivery Stations. You will put in place mechanisms to track project success, measure KPIs and build reports to provide visibility to senior leaders across the organization. Finally, you will have fun doing everything listed above.Mentorship & Career Growth:Work/Life Harmony
We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfilment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.


Preferred Qualifications

- MBA, MSc or MEng (Logistics, Supply Chain, Engineering, Mathematics or equivalent)
- Knowledge of other EU languages (German, French, Italian or Spanish advantageous)
- Advanced data analysis skills, Knowledge & ability to use standard design and development tools e.g. AutoCAD, MS Visio
- Demonstrated ability to build strong working relationships with business partners and key stakeholders and the ability to work under pressure in a cross functional organization
- High level of written, verbal and interpersonal skills

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03.09.2025
A

Amazon Software Dev Engineer External Fulfillment Luxembourg, Luxembourg

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Description:
DESCRIPTION


We are building new products in this space with scaling requirements to support 10s of million business operations in a day across thousands of FCs. We are looking for SDEs who are passionate to build large-scale, multi-tiered, distributed software solutions. You will be empowered to think big, invent and simplify on behalf of our stakeholders and customers, and find elegant solutions to hard problems. You will be influencing other engineers and tech partners in the team to solve multi-region critical complex business features.
Key job responsibilities
As a Software Engineer you will be expected to:
• Design and develop creative solutions to complex engineering problems.
• Effectively mentor junior engineers, helping to maintain appropriate unit test coverage, code documentation, software structure and support
• Own and deliver end to end key initiatives, maintaining effective communication with management and stakeholders
• Identify, evaluate and suggest mitigation strategies for risks during design
• Contribute to system design, process and development standards documentation
• Delivering high quality code on time as part of a cross-functional team.
• Contributing to team discussions around system component design, improvement and integration.
• Designing and developing high performance, test-driven code.
• Working with and maintaining a large existing code base as well as new components; maintaining production code and contributing to deployment and QA processes.
A day in the life

BASIC QUALIFICATIONS

- Experience (non-internship) in professional software development
- Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
- Experience programming with at least one software programming language


PREFERRED QUALIFICATIONS

- Bachelor's degree in computer science or equivalent
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations

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03.09.2025
A

Amazon Sr Business Intelligence Engineer Long Term Planning Luxembourg, Luxembourg

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Description:
DESCRIPTION

As a Business Intelligence Engineer, you will enable the creation of products that drive ever-greater automation, scale-ability and optimization of every aspect of transportation, lowering cost and delivering speed of execution for our customers. You will also identify opportunities and implement changes to improve network’s performance, simplify processes, and leverage existing resources. As part of your responsibilities, you will help the design and implementation of state-of-the-art solution in transportation planning and network design, ensuring that end to end transportation strategies are streamlined and optimized. The impact of your work will be in the Amazon EU global network.Key job responsibilities
• Design and develop tools to automate standardized processes and optimize trade-offs across the full decision space.
• Develop relationships with internal and external partner teams to enrich our collection of data.
• Take the lead on the design, implementation, and delivery of large-scale data solutions that have a long-term impact on our mid- and long-term strategic planning.
• Analyze historical data to identify trends and support decision making.
• Identify and tackle intrinsically hard problems. Deliver artifacts that set the standard in your organization for business intelligence excellence, from designs to data models to implementations.
• Improve upon existing methodologies by developing new data sources or architecture enhancements.
• Lead and actively participate in design reviews, aligning teams across your organization towards coherent architectural strategies.
• Conduct written and verbal presentations to share insights and recommendations to audiences of varying levels of technical sophistication.
• Collaborate with multiple teams and have cross-team impact.
• Research and benchmark our technology against other competing software in the industry.
• Actively mentor and educate the larger BIE community on trends, technologies, and best practices.


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24.08.2025
A

Amazon Sr Innovation Design Eng World Wide Fulfillment Engineering Luxembourg, Luxembourg

Limitless High-tech career opportunities - Expoint
Description:
DESCRIPTION

We’re looking to add a high-impact engineer to our team in Europe / United Kingdom. A successful candidate will have an established background in creating high-performance physical systems, a strong technical problem-solving ability, excellent project management skills, and an internal motivation to achieve results in a fast-paced, and often ambiguous environment. In this role, you will partner with internal and external teams to design high quality, cost effective solutions for our fulfillment and distribution systems. You will own multiple projects simultaneously, from concept realization through design approval. You will be our suppliers’ primary point of technical contact for your projects. Then, once the design is completed and approved, you will hand-off the project to our Ops Engineering team who will oversee the installation and commissioning of the project. You’ll continue working with that team to ensure that the system you’ve designed is successfully installed, commissioned and launched.Key job responsibilities
• Invent, design, and implement engineering solutions to complex material flow/transformation and human/machine efficiency problems throughout the global Amazon supply chain.
• Lead and coordinate design and innovation efforts to develop optimal solutions for the fulfillment and transportation network through equipment specification, material flow, process design, site layout, and intellectual property considerations.
• Collaboration with internal teams and external vendors to generate high-quality, cost-effective solutions in very short periods of time.
• Simultaneously manage multiple projects and tasks while effectively influencing, negotiating, and communicating with internal and external business partners, contractors and vendors.
• Provide technical leadership for large-scale engineering projects
• Effectively communicate the vision, detailed roadmap, and specific technical solutions to make a compelling business case with senior executives.A day in the life1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)About the team
You will work with a team of highly skilled and highly engaged engineers in a fast-paced and often ambiguous environment designing the next generation of world-class fulfillment centers and logistics systems.
You will work on high impact, high visibility projects; You will be challenged; You will learn; You will grow.


PREFERRED QUALIFICATIONS

Master’s degree in Engineering (any discipline) or foreign equivalent, Operations, Business Administration, or a related field and at least five years experience in the Material Handling Intralogistics industry.
Experience with complex automated material handling equipment, packaging technologies, robotics and/or high-speed manufacturing.
Experience with process design and based on Lean Principles.
Proficiency with concepts like system architecture, optimization, system dynamics, and using statistics and data to solve problems
Design-in-Safety experience

Expand
Limitless High-tech career opportunities - Expoint
Description:
Description

Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months, requiring flexibility to work in rotational shifts.Key job responsibilities
As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data.- Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
- Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines
- Performing audits and quality checks of tasks completed by other specialists, if required
- Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks
- Diving deep into issues and implementing solutions independently
- Identifying and reporting tooling bugs and suggesting improvementsA day in the life
We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data.

Basic Qualifications

- Bachelor’s degree in a relevant field or equivalent professional experience
- 2+ yrs of experience working with written language data, including experience with annotation, and other forms of data markup.
- Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.
- Excellent attention to details and ability to focus for a long period of time
- Ability to effectively write and evaluate diverse subject matter across various domains*
- Ability to adapt writing style to suit various style guidelines and customers.
- Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy


Preferred Qualifications

- Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale).
- Experience with creating complex data for LLM training and evaluation
- Strong understanding of U.S.-based culture, society, and norms.
- Comfortable with high-school level STEM*
- Familiarity with common markup languages such as HTML, XML, Markdown
- Familiarity with common standard text formats such as JSON, CSV, RTF
- Working knowledge of Python or another scripting language
- Familiarity with regular expressions syntax
- Familiarity with Large Language Models
- Comfort in annotation work that may include sensitive content

Expand
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