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Jobs in Netherlands, North Holland, Amsterdam

Open vacancies in Netherlands, North Holland, Amsterdam. Working in Netherlands, North Holland, Amsterdam is no longer a dream. Discover leading companies' jobs openings, currently hiring in the most desirable countries with Expoint. Start building your future today, sign up to Expoint and take on the challenge.
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Netherlands
North Holland
1,482 jobs found
25.11.2025
E

Ebay Applied Researcher Netherlands, North Holland, Amsterdam

Limitless High-tech career opportunities - Expoint
An opportunity to work on cutting-edge research in Recommendations, NLP and deep learning, making significant contributions to the field and real-world applications. A collaborative and supportive work environment where innovation...
Description:

What you will accomplish:

  • An opportunity to work on cutting-edge research in Recommendations, NLP and deep learning, making significant contributions to the field and real-world applications.

  • A collaborative and supportive work environment where innovation and creativity are encouraged.

  • Access to state-of-the-art resources and tools to support your research and development work.

  • A culture that values diversity, inclusion, and the professional growth of its members.

  • Competitive compensation and benefits package, tailored to attract the best talent in the field.

What you will bring:

  • Education: Ph.D. or M.S. in Computer Science, Statistics, Mathematics, or a related field with a focus on machine learning or data science.

  • Experience: Experience in applied research or development of machine learning models, data analysis, preferably with the advertising industry or a closely related field, i.e. search, recommender system and NLP.

  • Technical Proficiency: Strong programming skills in Python, Scala, or similar languages. Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and experience with big data technologies (e.g., Hadoop, Spark).

  • Analytical Skills: Outstanding ability to analyze large datasets, and derive actionable insights. Expertise in data mining and segmentation.

  • Communication: Excellent verbal and written communication skills, with the ability to convey sophisticated technical concepts to non-technical partners.

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25.11.2025
E

Ebay Applied Researcher – LLMs Netherlands, North Holland, Amsterdam

Limitless High-tech career opportunities - Expoint
Design, develop, and deploy advanced machine learning algorithms, with a focus on NLP/LLM. Work closely with cross-functional teams to integrate machine learning solutions into our products and platforms. Conduct research...
Description:

We are seeking a highly skilled and motivated Applied Researcher with expertise in Natural Language Processing (NLP) and Large Language Models (LLMs). In this role, you will focus on developing and deploying deep learning models that empower our buyers and sellers, including areas such as LLM post-training (instruction tuning, alignment), and scalable deployment. Working closely with research scientists and cross-functional engineers, you will translate cutting-edge algorithms into production-ready features that create measurable impact in our products and services.

What you will accomplish:

  • Design, develop, and deploy advanced machine learning algorithms, with a focus on NLP/LLM.

  • Work closely with cross-functional teams to integrate machine learning solutions into our products and platforms.

  • Conduct research on the latest technologies and methodologies in NLP and LLMs to drive innovation within the team.

  • Collaborate with data engineers and scientists to preprocess, clean, and structure large datasets for model training and evaluation.

  • Implement best practices in model development, validation, testing, and deployment to ensure high-quality and scalable solutions.

  • Stay abreast of industry trends and advancements in AI, machine learning, and NLP to continuously improve our capabilities.

What you will bring:

  • Master's degree or PhD in Computer Science, Engineering, Mathematics, or a related field.

  • Proven experience in machine learning, with a strong emphasis on NLP and LLMs (experience with instruction tuning and alignment is a major plus).

  • Proficiency in programming languages such as Python and C++ and frameworks like PyTorch, TensorFlow, or similar.

  • Solid understanding of machine learning algorithms, model architecture, training techniques, and building performant inference pipelines. Experience with model inference optimization techniques and libraries is a plus.

  • Experience with data preprocessing, feature engineering, model evaluation metrics and large scale data processing framework like SPARK.

  • Excellent analytical and problem-solving skills and the ability to work in a fast-paced, dynamic environment.

  • Strong communication and collaboration skills, with the ability to explain complex technical concepts to non-technical collaborators, come up with creative solutions, and help with tracking and delivering within the release plan

  • Publication record in top AI conferences/journals is a big plus


What we offer:

  • An opportunity to work on cutting-edge research in NLP and deep learning, making significant contributions to the field and real-world applications.

  • A collaborative and supportive work environment where innovation and creativity are encouraged.

  • Access to state-of-the-art resources and tools to support your research and development work.

  • A culture that values diversity, inclusion, and the professional growth of its members.

  • Competitive compensation and benefits package, tailored to attract the best talent in the field.

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24.11.2025
E

Ebay Lead iOS Developer Netherlands, North Holland, Amsterdam

Limitless High-tech career opportunities - Expoint
Lead the design and development of sophisticated iOS applications for the eBay Live platform. Collaborate with cross-functional teams to define app features, architecture, and technology stack. Write high-quality, maintainable, and...
Description:
What you will accomplish:
  • Lead the design and development of sophisticated iOS applications for the eBay Live platform.
  • Collaborate with cross-functional teams to define app features, architecture, and technology stack.
  • Write high-quality, maintainable, and efficient code, adhering to best practices and industry standards.
  • Test and debug applications to ensure optimal performance, scalability, and reliability.
  • Keep updated on the latest iOS development trends and technologies.
  • Conduct code reviews, provide mentorship and guidance to junior developers.
  • Troubleshoot and resolve complex issues reported by users.
  • Develop and maintain comprehensive app documentation.
What you will bring:
  • Bachelor's or Master's degree in Computer Science, Software Engineering or related field.
  • Strong experience in iOS development with a strong portfolio of sophisticated, widely-used apps.
  • Expertise in Swift and Objective-C, extensive experience with iOS frameworks.
  • In-depth knowledge of RESTful APIs and JSON.
  • Solid understanding of Apple's design principles and interface guidelines.
  • Experience with cloud message APIs, push notifications, and mobile analytics.
  • Proficiency with version control tools like Git and familiarity with CI/CD practices.
  • Excellent leadership, communication, and teamwork skills.
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23.11.2025
E

Ebay iOS Technical Lead Netherlands, North Holland, Amsterdam

Limitless High-tech career opportunities - Expoint
Native iOS app development and converting ideas, designs and requirements to concrete stable production builds. Understand and implement iOS specific design patterns. Develop and iterate within a rather lean, yet...
Description:

What you will accomplish:

  • Native iOS app development and converting ideas, designs and requirements to concrete stable production builds. Understand and implement iOS specific design patterns.

  • Develop and iterate within a rather lean, yet very fast-paced Engineering team.

  • Attracting, recruiting, hiring, and retaining a team of native iOS engineers.

  • Growing your team through coaching, mentoring, and consistent one-on-one conversations.

  • Leading agile development processes, including planning, implementation, testing, demos, and retrospectives for your team.

  • Getting into the details, investigating issues, writing code, performing code reviews, and prototyping new solutions.

  • Providing expert feedback for code quality, performance, scalability, system architecture, and engineering methodologies.

  • Collaborating effectively with product development and engineering teams across multiple domains and multiple geographies.

  • Focusing on continuous improvement in our practices, driven from the ground up. We will expect you to advocate for improvements in code and culture, and to support your team in the same.

  • Manage a small team of iOS engineers.

What you will bring:

  • Your passion for engineering, quality, agility and more.

  • 10+ years proven experience in designing, building, refactoring and releasing rich client software using industry standard patterns.

  • Experience with iOS XCode, Swift, Swift UI, debuggers (e.g. Charles), revision control systems (e.g. Git) and bug tracking (e.g. Jira). TCA is a plus

  • Experience in integration with backend APIs (REST/GraphQL)

  • Proven ability to lead the development of multiple features of an application and coordinating cross-team consensus and delivery of a product release.

  • Experience with TDD, pairing, code reviews, and other techniques to maintain high-quality code and resiliency.

  • Advocacy of automated testing, continuous delivery, and software quality across the software development life cycle.

  • Proven track record in successfully delivering large scale enterprise-wide solutions, from design to development to testing to production.

  • Be open to having a few iOS engineers report to you, having people management experience is a plus.

  • Preferred experience with Swift’s Combine framework: Functional programming, reactive software architecture, decoupled APIs, TCA architecture.

  • Excellent understanding of S.O.L.I.D principles and the ability to apply them on their day to day software development.

  • Preferred Master's degree in Computer Science, or Bachelor's degree with equivalent experience.

  • Experience in Agile/Scrum/Kanban methodologies and working in an agile engineering team.

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19.11.2025
EY

EY Senior Manager - Cyber Security Netherlands, North Holland, Amsterdam

Limitless High-tech career opportunities - Expoint
Perform weekly inventory position review with Partners and Managers . Offer tailored guidance to the specific business needs of each portfolio. Review aged unbilled inventory and provide advice to mitigate...
Description:

Here at EY, you’ll have the chance to build a truly exceptional experience. We’ll empower you with the latest technology, surround you with high-performing teams, and provide the global scale and diverse and inclusive culture you need to discover your full potential. Through our coaching and training programs, you’ll develop the skillsets you need to stay relevant today and in the future – all while building a network of colleagues, mentors, and leaders who will be on the journey with you at EY and beyond.

The opportunities: your next adventure awaits

Be trusted Business Advisors by providing insightful financial advice to the business on revenue recognition, margin improvement and inventory management as well as recommending best practices for using tools and processes to drive optimum results.

  • Perform weekly inventory position review with Partners and Managers .
  • Offer tailored guidance to the specific business needs of each portfolio.
  • Review aged unbilled inventory and provide advice to mitigate risks.
  • Leverage reporting to identify risks and help advice the team implementing strategies to drive better results.
  • KPI Controls, focusing on margin improvement . Weekly review of abnormal and low margin engagements.
  • Review Engagement budget and alert of any deviation.
  • Perform billing controls .
  • Follow-up on the outstanding Account Receivables.
  • Ensure internal policies, thresholds and procedures are respected , reporting breaches.
  • Be the reference point of client serving teams by providing guidance, training, and advice.

What we look for

  • You have an agile, growth-oriented mindset. What you know matters. But the right mindset is just as important in determining success. We’re looking for people who are innovative, can work in an agile way and keep pace with a rapidly changing world .
  • You are curious and purpose driven. We’re looking for people who see opportunities instead of challenges, who ask better questions to seek better answers that build a better working world.
  • You are inclusive. We’re looking for people who seek out and embrace diverse perspectives, who value differences, and team inclusively to build safety and trust.

Qualifications:ligibility requirements include the following:

  • Bachelor’s degree in finance, Accounting orBusinessManagement.
  • Fluent in English and French. Skillsin other languages beingalso an asset.
  • Analytical skills, problem-solving and critical thinking.
  • Dynamic, proactive, detailedoriented, able to meet deadlines.
  • Team player and strong communication skills.
  • Abilityto thrive inhands-on changing environment.
  • Microsoft Excel proficiency required (Filters, Vlookup, Pivot table …).


What’s in it for you

  • Accelerate your technical capabilities and transformative leadership skills with future-focused courses and development programs.
  • Broaden your horizons by working on highly integrated teams across the globe and collaborate with people of diverse backgrounds — both professionally and culturally.
  • Bring out the best in yourself with continuous investment in your personal well-being and career development.
  • Develop your own personal purpose and help us create a positive ripple effect on our teams, our business, clients, and society – building a better working world, together.

What you can expect

  • A first conversation over the phone with one of our recruiters
  • Followed by an online personality and logic questionnaire and
  • The interview process with our business recruiters
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19.11.2025
B

Booking Senior Managing Counsel Privacy Tech Data & Customer Service Netherlands, North Holland, Amsterdam

Limitless High-tech career opportunities - Expoint
Technical knowledge: Solid understanding of enterprise data technology and machine learning at scale. Risk management: Experience in developing compliance solutions which are resistant against degradation over time, are documented and...
Description:

A successful candidate should demonstrate:

  • Technical knowledge: Solid understanding of enterprise data technology and machine learning at scale

  • Risk management: Experience in developing compliance solutions which are resistant against degradation over time, are documented and can be monitored and tested

  • Strategic thinking: Ability to think beyond quick wins and perceive long-term opportunities for broad-based risk reduction

  • Customer centricity: Keeping the customer's best interests at heart, both in terms of the protection of their privacy as well as the usability of our products and services

  • People leadership: Inspiring, coaching and supporting your team members, to allow them to excel and grow

  • Cross-functional mindset: Willingness to break through silos, collaborate across teams and departments and pitch in when needed to ensure overall mission success

Key Job Responsibilities and Duties:

  • Support the business with in-depth legal review, advice and guidance on data protection and data privacy issues and/or risks with any current or potential new initiatives

  • Serve as the primary privacy legal SPoC for all matters arising from the Data, Technology and Customer Service functions in the company

  • Lead a team that serves as the foremost experts in the privacy legal function when it comes to data governance and technology

  • Lead the retention & deletion efforts at Booking.com

  • Support strategic, enterprise-wide priorities to mature our data governance and privacy control landscape

  • Engage with other Legal & Public Affairs teams and stakeholders to ensure the Legal function speaks with one voice

  • Constantly (re)prioritize team workload to adapt to changing circumstances

  • Partnering on review, advice and approval of data sharing use cases, data protection and privacy guidance, policies and procedures for the business

  • Exercise people management responsibilities, such as performance management and coaching; be accountable for team performance

Qualification & Skills:

  • Bachelor degree (Master’s Degree / Specialised Diploma is an advantage) and admission to practise in at least one jurisdiction
  • 8-12 years experience in a reputable law firm or in-house team
  • EU, UK or US law degree

  • A Batchelors’ and/or Masters’ Degree, and a legal professional qualification

  • Native or fluent English speaking and writing skills

  • Knowledge and experience in data protection law; a CIPP/E / CIPT (or similar) certification is preferred

  • A deep understanding of GDPR and the e-Privacy Directive how this applies to enterprise and consumer-facing technology; knowledge of DMA/DSA and AI Act is preferred

  • Ability to be the “voice of reason” in crisis situations, to quickly respond to issues at hand and to prioritise effectively, with a “customer first” mindset

  • Excellent communication skills (written and oral), attention to detail, organizational and project management skills and ability to meet deadlines, prioritising appropriately

  • Adaptable, ready to embrace change in order to meet evolving business needs, work in ambiguous situations and under pressure, and learn from mistakes

  • Strong ability to lead and inspire a team

  • Demonstrated cross-functional project leadership and commercial acumen, with ability to balance risk with business objectives

  • Experience in management of and impactful communication with senior stakeholders, effectively communicating complex ideas and projects simply and succinctly

  • In-depth understanding of the data and privacy issues that commonly arise in the technology and data space, along with ability to quickly learn and grasp the importance of new and emerging issues and manage processes from inception to completion

  • Strong collaborative, professional approach; able to succeed in and lead diverse, multidisciplinary, multicultural teams

  • High proficiency in productivity software, and AI platform usage, with a commitment to continuous improvement.

Deadline for applications is21 November 2025.


Further traits look for:

  • Alignment with Booking.com’s values (Customer First, Succeed Together, Own It, Learn Forever, Do the Right Thing).

  • Curiosity, flexibility, and a creative, pragmatic approach to problem-solving.

  • Confidence with collaboration.

  • Ability to influence stakeholders at all levels.

  • Proactivity, resilience, and a drive to deliver results.

  • Strong judgment with attention to both the big picture and key details.

  • Courage to take a stance and make tough decisions.

  • Team-oriented, self-aware, and a good listener.

  • Agility in prioritizing and meeting deadlines.

  • Forward-thinking, with a focus on emerging legal and policy issues.

As a team, we believe in:

  • Being integral to decision-making, shaping Booking.com’s future.

  • Supporting Booking's mission to make travel accessible, fostering openness and curiosity.

  • Offering opportunities for team members to explore new areas or specialize.

  • Providing holistic, integrated legal and public affairs advice.

  • Continuously improving Legal Operations, innovating, and sharing best practices.

  • Learning from mistakes and embracing growth.

  • Working collaboratively with a sense of humor and enjoying the journey together!

Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive , as well unique-to-Booking.com benefits which include:

  • Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave

  • Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)

  • Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit

Application process:

  • Let’s go places together:

  • Detailed instructions on post-application requirements including any required application materials, deadlines, portfolios, coding challenges, or other assessments as defined by BU or department.


Pre-Employment Screening

If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.

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19.11.2025
B

Booking Technical Product Manager - Experimentation platform Netherlands, North Holland, Amsterdam

Limitless High-tech career opportunities - Expoint
This role is based in Amsterdam. At Booking.com we are proud of the way we use data and experimentation to drive better product decisions. Over the last 20 years, we...
Description:

Role description

  • This role is based in Amsterdam

  • At Booking.com we are proud of the way we use data and experimentation to drive better product decisions. Over the last 20 years, we have continuously invested in building the best possible experimentation platform to enable our colleagues throughout the company to make the best possible decisions for our customers, partners and our business.

We are seeking a
Technical Product Managerto join our Core teams in the Experimentation Platform department. In this role, you will own key components of the experimentation data infrastructure and data products that power product decision-making at Booking.com.

  • You will be responsible for ensuring that our tracking systems, randomization logic, data pipelines and APIs are reliable, scalable and easy to use. You will partner closely with engineers to modernize legacy systems and enhance developer experience across the company.

  • You will enable experimentation across a wide range of services and technologies by ensuring consistent data quality, seamless integration and robust support for new use cases as the platform evolves.

  • You will lead the ideation and generation of experimentation data products by identifying use cases and enabling governed and secure access to experimentation datasets to increase the value Booking.com generates from experimentation and ensure the accuracy and trustworthiness of the data teams rely on.

Key Job Responsibilities and Duties

  • Experimentation Data Infrastructure

    • Contribute to the vision and roadmap for the Core team’s data infrastructure, ensuring it supports reliable data collection, processing, and access at scale.

    • Support the modernization of experimentation infrastructure, helping migrate legacy systems to more scalable, cloud-based solutions.

    • Partner closely with engineers to deliver and operate tracking, ingestion, and pipeline systems that ensure accuracy, performance, and reliability.

    • Define and monitor critical success metrics to evaluate product health and team impact.

    • Help the team identify and manage technical debt, balancing immediate delivery needs with long-term maintainability.

    • Work with your engineering counterpart to prioritize the team backlog, aligning day-to-day execution with user and business needs.

    • Collaborate with cross-functional stakeholders (engineering, data science, product) to gather requirements and ensure Core team services meet their needs.

    • Drive improvements in automation, monitoring, and observability to reduce operational workload and increase system reliability.

    • Partner with other product managers in the department to coordinate dependencies and contribute to the broader experimentation platform

  • Experimentation Data Products

    • Lead the ideation and delivery of experimentation data products that make experimentation data accessible, accurate and actionable.

    • Define use cases and requirements for post-experiment analysis that is not supported by the UI.

    • Enable governed and secure access to experimentation datasets to ensure consistency and trust across all analytical use.

    • Establish data quality and governance standards to maintain accuracy, reliability and compliance across experimentation data products.

Role Qualifications and Requirements

  • Experience: Minimum 4 years in Product Management with a technical or platform focus, ideally managing data platforms (e.g., Experimentation, Machine learning platforms, Data warehouse, Data Lakes)

  • Data Product Mindset: Experience defining and delivering internal data products that transform raw data into trusted, actionable insights. Comfortable working with stakeholders to identify use cases, shape data access patterns and enforce governance standards.

  • Delivery & Maintainability: Proven ability to manage technical roadmaps, address technical debt and balance short-term delivery with long-term platform and product health.

  • Technical Fluency: Strong understanding of APIs, real-time and batch data pipelines, tracking libraries, and event collection technologies.

  • Experimentation Knowledge: Familiarity with A/B testing and experimentation concepts, with an eagerness to deepen expertise in this area.

  • Analytical Skills: Ability to validate assumptions, explore data, and trace how it moves through systems; proven problem-solving and structured thinking.

  • Collaboration & Communication: Effective at engaging with engineers, data scientists, and users of the platform, translating technical detail into actionable goals.

: Global Impact, Personal Relevance

  • Annual paid time off and generous paid leave scheme including: parental (22-weeks paid leave), grandparent, bereavement, and care leave

  • Hybrid working including flexible working arrangements, working from home furniture and ergonomic support, and up to 20 days per year working from abroad (home country)

  • A beautiful sustainable , that offers on-site meals, coffee, and snacks, multi-faith and breastfeeding rooms at the office

  • Commuting allowance and bike reimbursement scheme

  • Discounts & Wallet credits to spend on our products, upgrade to Booking.com Genius Level 3, and friends & family Booking.com discount vouchers

  • Free access to online learning platforms, development and mentorship programs

  • Global Employee Assistance Program, free Headspace membership

Career Development Opportunities

  • Bi-annual performance conversations, company-wide mentoring program, and internal development opportunities

  • Unlimited access to online learning platforms: Udemy, Coursera, LinkedIn learning, O'reilly

Application Process

  • The interview process will entail a total of 4 interviews, all conducted via Zoom video conferencing.

  • This role does not come with relocation assistance.


Pre-Employment Screening

If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.

Show more

These jobs might be a good fit

Limitless High-tech career opportunities - Expoint
An opportunity to work on cutting-edge research in Recommendations, NLP and deep learning, making significant contributions to the field and real-world applications. A collaborative and supportive work environment where innovation...
Description:

What you will accomplish:

  • An opportunity to work on cutting-edge research in Recommendations, NLP and deep learning, making significant contributions to the field and real-world applications.

  • A collaborative and supportive work environment where innovation and creativity are encouraged.

  • Access to state-of-the-art resources and tools to support your research and development work.

  • A culture that values diversity, inclusion, and the professional growth of its members.

  • Competitive compensation and benefits package, tailored to attract the best talent in the field.

What you will bring:

  • Education: Ph.D. or M.S. in Computer Science, Statistics, Mathematics, or a related field with a focus on machine learning or data science.

  • Experience: Experience in applied research or development of machine learning models, data analysis, preferably with the advertising industry or a closely related field, i.e. search, recommender system and NLP.

  • Technical Proficiency: Strong programming skills in Python, Scala, or similar languages. Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and experience with big data technologies (e.g., Hadoop, Spark).

  • Analytical Skills: Outstanding ability to analyze large datasets, and derive actionable insights. Expertise in data mining and segmentation.

  • Communication: Excellent verbal and written communication skills, with the ability to convey sophisticated technical concepts to non-technical partners.

Show more
Open vacancies in Netherlands, North Holland, Amsterdam. Working in Netherlands, North Holland, Amsterdam is no longer a dream. Discover leading companies' jobs openings, currently hiring in the most desirable countries with Expoint. Start building your future today, sign up to Expoint and take on the challenge.