דרושים מהנדס בדיקה ב-Booking ב-Netherlands, Amsterdam

Role Description:

You’ll work with top notch engineers and machine learning scientists on bringing it to the next level and enabling optimal user experience while having a significant impact on the business. The work will focus on data and ML foundations for reusable training, optimization and deploying causal machine learning models.

Key Job Responsibilities and Duties:

• Model evaluation and optimization: Conduct detailed model evaluation metrics and validation to ensure accuracy, reliability, and scalability. Optimize model performance by fine-tuning hyper parameters, feature engineering, and applying techniques such as ensemble learning and continuous learning.

• Data pre-processing and analysis: Collaborate with data scientists and data engineers to collect, clean, pre-process, and transform large and wide datasets for model features and data monitoring. Conduct exploratory data analysis (EDA) to uncover insights and identify patterns that boost the model performance

• Building machine learning models: Design, develop and deploy in collaboration with scientists, scalable machine learning models and algorithms that provide personalized recommendations to users.

• Deployment and integration: Work closely with software engineers to integrate machine learning models into production systems. Ensure seamless deployment and efficient model inference in real-time environments. Collaborate with DevOps to implement effective monitoring and maintenance strategies.

• Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions. Provide technical guidance and mentorship to junior team members.

Qualifications & Skills:

• Bachelor’s or master’s degree in computer science, Engineering, Statistics, or a related field.

• Minimum of 5 years of experience as a Machine Learning Engineer or a similar role, with a consistent record of successfully delivering ML solutions.

• Strong programming skills in Python (Additional knowledge in Java, Perl and Scala are an advantage) .

• Experience with cloud frameworks like AWS sagemaker and training models such as using TensorFlow, PyTorch, lightgbm or scikit-learn.

• Experience with data at scale using MySQL, Pyspark, Airflow, Snowflake and similar frameworks.

• Proficiency in data manipulation, analysis, and visualization using tools like NumPy, pandas, matplotlib and BI tools.

• Proficient knowledge of machine learning algorithms, statistical models, optimization and data structures.

• Experience with experimental design, causal inference, A/B testing, and evaluation metrics for ML models.

• Experience of working on products that impact a large customer base is an advantage

• Excellent communication in English; written and spoken

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:

• This role does not come with relocation assistance.

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.

Key Job Responsibilities and Duties:

• Rapidly developing next-generation scalable, flexible, and high-performance data pipelines;

• Solving issues with data and data pipelines, prioritizing based on customer impact, and building solutions that prevent them from happening again (root cause);

• End-to-end ownership of data quality in our core datasets and data pipelines;

• Experimenting with new tools and technologies to meet business requirements regarding performance, scaling, and data quality;

• Providing tools that enhance Data Quality company wide;

• Developing integrations between multiple applications and services, both on premise and in the cloud;

• Contributing to self-organizing tools that help the analytics community discover data, assess quality, explore usage, and find peers with relevant expertise;

• Building effective monitoring of data, and jumping in to handle outages.

• Responsible for technical implementation and maintenance of data processing services and storage systems in line with the Data Governance Framework.

• Lead root cause investigations, incident response, and postmortem documentation for reliability and process improvement.

Qualifications & Skills:

• Bachelor degree or equivalent
• 1 - 3 years experience in similar role

• Software Systems Design

  • Evaluate possible architecture solutions by taking into account cost, business requirements, technology requirements and emerging technologies

  • Describe the implications of changing an existing system or adding a new system to a specific area, by having a broad, high-level understanding of the infrastructure and architecture of our systems

  • Help grow the business and/or accelerate software development by applying engineering techniques (e.g. prototyping, spiking and vendor evaluation) and standards

  • Meet business needs by designing solutions that meet current requirements and are adaptable for future enhancements

• Critical Thinking

  • Find solutions to difficult or complex issues by applying different skills and techniques like analytical thinking, lateral thinking, and logical reasoning

  • Constructively improve existing ideas, plans and solutions by reviewing them in a critical yet constructive manner, initiating concrete improvements and articulating their rationale

  • Continuous Quality and Process Improvement

  • Identify opportunities for process, system and/or structural improvements, by applying an understanding of process flows and the methods that can be used to boost effectiveness and efficiency

• End to End System Ownership

  • Own a service end to end by actively monitoring application health and performance, setting and monitoring relevant metrics and act accordingly when violated

  • Reduce business continuity risks and bus factor by applying state-of-the-art practices and tools, and writing the appropriate documentation such as runbooks and OpDocs

  • Reduce risk and obtain customer feedback by using continuous delivery and experimentation frameworks

  • Independently manage an application or service by working through deployment and operations in production

• Effective Communication

  • Deliver clear, well-structured, and meaningful information to a target audience by using suitable communication mediums and language tailored to the audience

  • Achieve mutually agreeable solutions by staying adaptable, communicating ideas in clear coherent language and practicing active listening

  • Ask relevant (follow-up) questions to properly engage with the speaker and really understand what they are saying, by applying listening and reflection techniques

• Technical Stack Qualifications

  • 1-3 years of experience with data at scale, using Kafka, Spark, Hadoop/YARN, MySQL, Airflow, Snowflake, S3 and Kubernetes

  • Solid working experience working with Data engineering platforms involving PySpark, Python or other equivalent scripting languages

  • Proven experience building data pipeline solutions based on public cloud providers such as Snowflake, AWS

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.

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.

As a Data Engineer I in Booking.com’s Growth Marketing department, you’ll help develop the data infrastructure that powers our global marketing programs, from messaging and app campaigns to digital performance advertising and optimization. This is a hands-on engineering role focused on building, maintaining, and evolving reliable and privacy-compliant data pipelines that drive measurement, personalization, and automation.

• Develop and maintain real-time and batch data pipelines that power internal decision-making and automated marketing actions

• Follow standard design patterns and governance requirements to build scalable and privacy-safe data flows

• Translate moderately complex business requirements into reliable data solutions with support from senior team members

• Write clean, maintainable, and reusable code using standard libraries and practices

• Connect and enrich datasets across systems to improve observability, targeting, and performance measurement

• Support the ingestion and transformation of event-level and customer-level data into analytical and operational stores (e.g., Snowflake, Kafka, Hive)

• Monitor system performance and data quality; help identify bottlenecks or failures that could impact campaign accuracy

• Participate in team incident reviews and learn from issues to improve overall system resilience

• Know the latest about data engineering best practices and continuously evolve your craft

• A Bachelor’s degree in Computer Science, Engineering, or a related field, or demonstrated hands-on experience that showcases your technical skills and passion for data engineering.

• A solid foundation with 1–3 years of experience in data engineering or backend engineering, showcasing your ability to drive results in a technology-driven environment.

• Basic experience with one or more server-side programming languages (e.g., Python, Java, Scala, Perl)

• Exposure to modern data infrastructure such as Hadoop, Kafka, Spark, Airflow, Cassandra, MySQL, or Snowflake

• Understanding of basic data modeling concepts and best practices

• Understanding of data quality practices alongside SLAs/SLOs, enabling you to enhance our commitment to excellence.

• Strong communication skills in English and ability to work in a multi-functional setup

• Exposure to marketing or customer behavior datasets is a plus

• Familiarity with privacy-aware tracking and user identifier management

• Basic knowledge of data governance frameworks and schema evolution

• Experience contributing to code reviews, documentation, or observability dashboards

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:

• Your recruiter will be in touch to discuss the hiring process with you and interview stages to expect

• This role does not come with relocation assistance.

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.

In this
Lead Financial Analyst, Marketplacerole you will be part of a dynamic, international and fast-paced team, working in the scope of the Marketplace department. This position is based in our headquarters in Amsterdam and will report to the Senior Manager of FP&A, Marketplace.

This position offers the opportunity to drive financial decision making within Booking.com. You will be required to provide strong financial and analytical support to your business unit (BU) or department’s stakeholders. You will have to bridge what the data tell you and how that could help decision-making on a wide array of topics. You will be supporting the planning and forecasting cycles for both financial and operational business metrics. This includes revenues, expenses and other important KPIs; it also includes non-financial metrics and driver metrics of performance. You will also be involved in reporting versus budget and forecast and support on ad-hoc analyses whenever there is a need from the business.

Specific to this Lead Financial Analyst, Marketplace role, you will work in a team of Financial Analysts. Your span of work will be across the Marketplace department; you will also support the wider FP&A sub-department on cross functional projects as needed. Example programs and responsibilities include (not to the limitation) the examples below.

Due to the continuous evolution of the organization, the tasks and duties of this role will evolve over time. You will be keen to develop and grow within the role and challenge yourself to take on additional projects and responsibilities as they present themselves. This role requires a dynamic and proactive person with strong analytical, communication, and stakeholder management skills.

Key Job Responsibilities and Duties:

• Support with forecasting, variance analysis and reporting of financial performance;

• Contribute to robust, scalable and insightful reporting of the business unit or department’s key metrics;

• Proactively deliver intelligence based on data to support and advise the FP&A team and/or business partners whenever necessary;

• Provide analytical support and contribute to strategic decision making;

• Continuously seek ways to improve and optimize the existing reporting to fit with evolving requests from senior management;

• Perform ad-hoc analysis, scenarios and benchmarking as needed.

Qualifications & Skills:

• Bachelor’s degree in Business/Finance or other related field (preferred);

• 8+ years’ experience in a similar role;

• Strong financial modeling and analytical skills;

• High attention to detail and ability to connect the dots and reconcile multiple data sources;

• Strong communication skills and ability to present to different audiences;

• Self-driven mentality, proactively seeking to find solutions to problems and providing the best analytics possible to key decision makers

• Advanced knowledge of Excel;

• Experience with SQL, data mining, Microsoft VBA and reporting tools;

• Ability to understand, work with and proactively advise business partners;

• Sees the headlines or big picture whilst having attention for the details;

• Strong team-working skills with ability to work independently;

• Comfortable working in cross-functional teams and working in an unstructured environment;

• Demonstrated ability to manage multiple competing priorities simultaneously and drive projects to completion.

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.

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.

In this role, you will innovate and operationalize data pipelines in a modern cloud environment (e.g., AWS, Snowflake), automate workflows (Dagster-centric), manage infrastructure as code (Terraform), and establish robust, auditable CI/CD practices. You’ll partner closely with Data Engineering, FP&A Reporting and analytics teams to deliver timely, reliable, and secure data solutions critical for regulatory (SOx) and business reporting.

Key Job Responsibilities and Duties:

• Producing curated, reusable analytical data products to enable self-serve analytics for many internal customers across departments.

• Modeling data following best practices and Data Warehousing methodologies such as Data Vault and (Kimball) Dimensional modeling.

• Transforming large, complex data sets into pragmatic, actionable insights and providing them in a consumable format for historical or predictive analysis.

• Maintaining and tuning data pipeline health, including troubleshooting issues, implementing data quality controls, monitoring performance, and proactively addressing issues and risks.

• Leading the technical resolution of problems, and communicating them to both technical and non-technical audiences.

• Supporting product teams in defining the Data Architecture for their domains, from conceptual to physical modeling in the Data Warehouse.

• Driving the culture across the business unit for data quality and data governance and its best practices.

• Driving the implementation of reliable and well trusted metrics defined by the business, connecting disparate datasets into unified data products in the Lakehouse and/or Data Warehouse.

• Performing Data Governance responsibilities such as technical stewardship, data classification, compliance management, data quality monitoring, and security considerations.

• Working alone and self-steering initiatives, defining and breaking down work for more junior members of the team.

• Mapping data flows between systems and workflows across the company to improve efficiency and resilience.

• Developing scalable, real-time event-based streaming data pipelines to support internal and customer-facing use cases.

• Ensuring ongoing reliability and performance of data pipelines through proactive monitoring, end-to-end testing standards, and incident handling.

• Writing maintainable, reusable code by applying standard libraries and design patterns, and refactoring for simplicity and clarity.

• Developing scalable and extensible physical data models aligned with operational workflows and infrastructure constraints.

• Owning end-to-end data applications by defining and tracking SLIs and SLOs to ensure reliability and quality.

Qualifications & Skills:

• Minimum of 5 years of experience as a Data Engineer or a similar role, with a consistent record of successfully delivering data solutions.

• You have built production data pipelines in the cloud, setting up data-lake and server-less solutions; ‌ you have hands-on experience with schema design and data modeling and working with business stakeholders and data engineers to provide production level data solutions.

• Experience and/or knowledge on designing and implementing mature Data Warehouse pipelines using Data Vault and/or Dimensional modeling methodologies is a must.

• Working with ETL/ELT tools and methodologies.

• Working with relational databases and any flavor of SQL in an analytical context.

• Building data exploration/visualization and designing data story telling.

• Communicating effectively (written and spoken) and stakeholder management.

• Writing and maintaining high-quality and reusable code, applying design patterns and meeting coding standards.

• Comfortable with working in a DevOps / DataOps environment.

• Have proven records of working with workflow management and scheduling tools such as Apache Airflow and/or Dagster.

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.

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.

What You'll Be Doing:

• You'll proactively connect with partners through engaging calls, dynamic in-person meetings, and seamless internal communication, igniting their potential and collaboratively building Booking.com's growing business.

• As the dedicated point of contact for your portfolio of partners, you will be the trusted voice, expertly navigating their questions and ensuring their journey with us is smooth and successful.

• You'll champion strong, enduring relationships with our accommodation partners, becoming an indispensable resource at the property level. Through insightful performance conversations and consistent engagement, you'll ensure they offer our customers unparalleled availability and competitive pricing.

• You'll master the intricacies of Booking.com's innovative products, effortlessly articulating their benefits and empowering partners to maximize them for maximum impact.

• Driving opportunity, you'll analyze internal data to identify and prioritize partners, unlocking untapped potential that fuels mutual growth and strengthens Booking.com's market presence.

• Be an explorer, identifying and connecting with exciting new potential growing our network within the industry as well as property level and enriching the travel experiences we offer.

• When challenges arise within your portfolio, you'll step in as a resourceful problem-solver, efficiently resolving customer service critical issues in a way that benefits our business, our partners, and our valued travelers.

• You'll actively support the organization of engaging partner events like workshops and webinars, and we'll encourage you to be a vibrant participant, fostering connections and sharing insights within the community.

• Get ready to hit the road! Up to 50% business travel will have you face-to-face, building stronger relationships and gaining invaluable on-the-ground insights.

What You'll Bring:

• Fluent English and Portuguese
• Driver's License
• You are an effective problem-solver, driven by results and always seeking innovative solutions.

• You're proactive, flexible, and equally comfortable leading the charge independently or collaborating seamlessly within a dynamic team.

• You are extraordinary at prioritization, effortlessly owning your workload and improving your efficiency.

• Your strong communication skills allow you to articulate ideas clearly and persuasively, establishing rapport with ease.

• You have a knack for influencing partners over the phone and in person, expertly guiding them towards mutually beneficial strategies.

• You possess a strong sense of detail and the ability to analyze data to drive informed decisions through effective storytelling.

• Actively champion a collaborative environment where open communication and shared goals drive our collective success.

• Proactively engage with individuals and groups, ensuring their points of view are valued and integrated to achieve optimal outcomes for all involved.

• Understanding the needs and perspectives of others before making decisions. It's a collaborative process where you actively listen, ask insightful questions, and engage in open dialogue to gain a comprehensive understanding of the situation, challenges, or goals at hand before offering solutions

• You are required to live within a commutable distance from your assigned office location

What We'll Provide:

Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. Our Total Rewards are aimed to make it easier for you to experience all that life has to offer on your terms, so you can focus on what really matters. We offer competitive compensation as well as thoughtful, valuable, and even fun benefits which include:

• Medical, life, and disability insurance*

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

• Industry leading product discounts for yourself, friends, and family, including automatic Genius Level 3 status

• Free access to online learning platforms, mentorship programs, and a complimentary Headspace membership

• Collaborative, friendly and diverse culture

• Referral Program

• This role may come with relocation assistance

• This role may come with visa assistance

• Additional Annual or Quarterly bonus potential (role dependent)

• *Please note that while our philosophy is the same in every location, benefits may differ by office/country.

Should you require accommodation to meet the essential functions of this job, please let us know.

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.

Role Description:

You’ll work with top notch engineers and data scientists from the team on bringing it to the next level and enabling optimal user experience. The work will focus on building, training and deploying content models (Computer vision, NLP and Generative AI) using the most advanced technologies and models.

Key Job Responsibilities and Duties:

• Deploying machine learning models: Design, develop and deploy in collaboration with scientists, scalable machine learning models and algorithms that provide content related insights and generative AI applications, ensuring scalability, efficiency, and accuracy.

• Evaluating possible architecture solutions by taking into account cost, business requirements, emerging technologies, and technology requirements, like latency, throughput, and scale.

• Generative AI Development: Contribute to the development of generative models such as GPT (Generative Pre-trained Transformer) variants or similar architectures for creative content generation, Q&A, translation or other innovative applications.

• Deployment and integration: Work closely with software engineers to integrate machine learning models into production systems. Ensure seamless deployment and efficient model inference in real-time environments. Collaborate with DevOps to implement effective monitoring and maintenance strategies.

• Owning a service end to end by actively monitoring application health and performance, setting and monitoring relevant metrics and acting accordingly when violated.

• Maintain clean, scalable code, ensuring reproducibility and easy integration of models into production environments, including CI/CD.

• Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.

Qualifications & Skills:

• Bachelor’s or master’s degree in computer science, Engineering, Statistics, or a related field.

• Minimum of 4 years of experience as a Machine Learning Engineer or a similar role, with a consistent record of successfully delivering ML solutions.

• Strong programming skills in languages such as Python and Java.

• Experience with cloud frameworks like AWS sagemaker for training, evaluation and serving models using TensorFlow, PyTorch, or scikit-learn.

• Experience with big data processing frameworks such, Pyspark, Apache Flink, Snowflake or similar frameworks.

• Experience with data at scale using MySQL, Pyspark, Snowflake and similar frameworks.

• Demonstrable experience with MySQL, Cassandra, DynamoDB or similar relational/NoSQL database systems.

• Deep understanding of machine learning algorithms, statistical models, and data structures.

• Experience in deploying large-scale language models like GPT, BERT, or similar architectures - an advantage.

• Proficiency in data manipulation, analysis, and visualization using tools like NumPy, pandas, and matplotlib - an advantage.

• Experience with experimental design, A/B testing, and evaluation metrics for ML models - an advantage.

• Experience of working on products that impact a large customer base - an advantage.

• Excellent communication in English; written and spoken.

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:

• This role does not come with relocation assistance.

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.