Principal Data Engineer jobs at Paypal in France

Essential Responsibilities:

• Implements tasks within the Software Development Lifecycle (SDLC), receiving structure and oversight from more experienced staff
• Follows well-established internal conventions and standard procedures
• Understands internal standards & processes an applies them to make technical decisions
• Collaborates with peers, manager, and project lead to gain understanding of tasks and review solutions
• May contribute to code & design reviews

Expected Qualifications:

• 1+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Acts as a project or system leader, coordinating the activities of other engineers on the project or within the system
• Determines the technical tasks that other engineers will follow
• Actions result in the achievement of customer, operational, program or service objectives
• Proactively improves existing structures & processes
• Exercises judgement in reconciling diverse and competing priorities (time, quality, complexity risk) to identify optimal solutions to problems
• Notices patterns and condenses repetition into densely meaningful generalized solutions
• Collaborates with management to set/improve standards for engineering rigor
• Trusted to represent PayPal, Inc to the outside world via interactions with partners, customers, or industry organizations

Expected Qualifications:

• Minimum of 8 years of relevant work experience and a Bachelor's degree or equivalent experience.

As an iOS Software Engineer, you will:

• Be a strategic thinker and problem solver.
• Define and execute the mobile technology roadmap.
• Build and lead high-performing mobile engineering teams.
• Drive innovation and experimentation in mobile development.
• Collaborate with cross-functional teams to deliver world-class mobile experiences.
• Mentor and coach senior engineers and foster a culture of innovation and experimentation.
• Partner effectively with product and engineering leadership to Oversee mobile architecture and design.

What you need to bring:

• Bachelor's degree in Computer Science or a related field.
• 8+ years of hands-on mobile development experience (iOS and/or Android).
• Experience in designing, developing and delivering software and/or platforms (libraries)
• Deep expertise in mobile technologies and architecture.
• Solid understanding of Cocoa Frameworks
• Strong object-oriented skills including design, coding and testing patterns.
• Familiarity with database technologies (SQL and NoSQL databases) and ORM frameworks (Hibernate, JPA).
• Ability to design scalable, reliable, and maintainable software systems.
• Thorough understanding of XCode
• Proven ability to lead and influence cross-functional teams.

Preferred Qualifications:

• Experience with mobile payment technologies and integrations
• Proficiency in Swift, Objective-C, Kotlin, Java, and React Native.
• Familiarity with continuous integration (Jenkins), application monitoring (Crashlytics and fabric.io), mocking tools (Appium and Apiary), build tool development and enhancements, using unit testing and cucumber tests for functional tests
• Familiar and comfortable with iOS technologies, the trade offs, and the design patterns emerging.
• Knowledge of mobile performance optimization techniques.
• Experience with machine learning and AI in mobile applications.
• Knowledge of emerging mobile technologies (AR, VR, wearables).
• Strong ability to influence and inspire teams.

The total compensation for this position may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit

The U.S. national annual pay range for this role is $to $

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Acts as a project or system leader, coordinating the activities of other engineers on the project or within the system
• Determines the technical tasks that other engineers will follow
• Actions result in the achievement of customer, operational, program or service objectives
• Proactively improves existing structures & processes
• Exercises judgement in reconciling diverse and competing priorities (time, quality, complexity risk) to identify optimal solutions to problems
• Notices patterns and condenses repetition into densely meaningful generalized solutions
• Collaborates with management to set/improve standards for engineering rigor
• Trusted to represent PayPal, Inc to the outside world via interactions with partners, customers, or industry organizations

Expected Qualifications:

• 5+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Establish overall business or technical strategy for user experience initiatives.
• Negotiate with and influence decision-making reaching the senior executive level
• Identify and resolve unique situations of substantial significance in user interface or interaction design
• Allocate resources, responsibly and apply creativity to enhancing user and customer experiences across digital and physical products and services
• Lead the development of user experience strategies that resonate with target audiences.
• Support and mentor less-experienced roles to provide an example of innovation, excellence, and day-to-day learning

Expected Qualifications:

• Minimum of 15 years of relevant work experience and a Bachelor's degree or equivalent experience.

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Develop and implement data science models and algorithms.
• Analyze and interpret complex data sets.
• Ensure data quality and integrity.
• Collaborate with stakeholders to understand data requirements.
• Optimize data processes for efficiency and performance.
• Perform advanced statistical analysis and reporting.

Minimum Qualifications:

• Minimum of 2 years of relevant work experience and a Bachelor's degree or equivalent experience.

Summary:
What you need to know about the role
• Global Fraud Prevention resides in the Global Risk Management (GRM) organization that supports various business lines in optimizing risk and rewards to enable profitable business growth

• You will work with a team of global risk professionals focusing on managing the Americas acquisition strategies to support the growth of Small Medium Business (SMB) line of business Globally

Meet our team:
• This role reports to the Senior Manager of Global SMB Onboarding Risk Management. In addition, you will work closely with SMB business leaders, Risk Products, Decision Science, Fraud Operations, and Engineering to execute on the acquisition risk management roadmap that you and your team will develop to mitigate 3rd party fraud and 1st party abuse as well as money movement risks.

Your way to Impact

• You will provide solutions to address tactical and strategic business problems with your strong analytical skills and support the profitable growth of SMB portfolio.
• You will work closely with business stakeholders to develop an acquisition roadmap to support profitable business growth and trade-offs. Defining team objectives and executing on those objectives to drive profitable growth across the different regions, with particular focus in the American region

Your day-to-day

In your day-to-day role you will:

• Conduct thorough analysis with all available data tools and provide detailed insights which can be transformed into risk strategies that balances risk/reward trade-offs.
• Set up detailed portfolio monitoring to ensure there is no fraud pressure and work with peers to mitigate fraud with a high level of urgency.
• Continuously manage credit exposure and conduct sensitivity testing to optimize strategy.
• Work closely to evaluate internal models and implement them in our risk strategies.
• Partner with product and platform team to execute risk strategies and conduct A/B testing to optimize onboarding funnel.
• Be the voice of risk management and help solve complex problems within defined risk box

What do you need to bring

• 2+ years of experience in financial technology, banking, or payments in developing and implementing risk strategies to mitigate losses.
• Strong knowledge in data analytics to extract, analyze and transform data into risk strategy recommendations for profitable business growth.
• Knowledge of existing/emerging regulatory frameworks related to consumer and SMB acquisition.
• Having experience in a Fintech working with Product and Engineering organization is a plus
• Well organized, with the ability to thrive in a fast-paced work environment and manage numerous projects simultaneously under deadline pressure
• A high level of intellectual, professional, and interpersonal agility/flexibility, combined with stronganalytical/problem-solvingskills
• Demonstrated ability to build/maintain relationships with key stakeholders to execute the risk roadmap.
• Strong communication skills in explaining complex matters in a simple and clear manner.

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Increases results & effectiveness of all software engineers in a large domain
• Sets the technology roadmap for a domain
• Adapts their role to the need, selecting the most effective means of realizing their technical goals
• Provides advice and counsel to senior executives within PayPal, influencing the development of multi-year business strategies
• Exercises wide latitude in determining objectives and approaches to assignments and takes initiative to achieve results
• Handles ambiguous and unfamiliar situations and uses creativity to deliver decisive resolutions
• Uses discovery & exploratory research, not being limited to technical domains, to make successful decisions
• Identifies themes & trends that span projects and teams, and finds broadly impactful opportunities for improvement
• Uses professional savvy to determine when industry-standard solutions can be adopted, versus when a problem space warrants a novel solution (“build/buy”)
• Mentor others as a means of propagating technical influence, and to enhance the performance of their organization

Expected Qualifications:

• 10+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

• Worked in the Ad space and worked on Ad Management systems, gained significant ads domain experience.

• onbuilding Ad platforms or integrating with Retail Media Networks.

• Increases results & effectiveness of all software engineers in a large domain

• Sets the technology roadmap for a domain

• Adapts their role to the need, selecting the most effective means of realizing their technical goals

• Provides advice and counsel to senior executives within PayPal, influencing the development of multi-year business strategies

• Exercises wide latitude in determiningobjectivesand approaches to assignments and takes initiative to achieve results

• Handles ambiguous and unfamiliar situations and uses creativity to deliver decisive resolutions

• Uses discovery & exploratory research, not being limited to technical domains, to make successful decisions

• Uses professional savvy todeterminewhen industry-standard solutions can be adopted, versus when a problem spacewarrantsa novel solution (“build/buy”)

• Mentor others as a means of propagating technical influence, and to enhance the performance of their organization

• Own the multiyear architecturefor PayPal Ads systems.

• Partner with product, risk, compliance, data, and finance to align technical choices to business outcomes; translate complex tradeoffs into clear,executivereadydecisions.

• Grow Staff+ engineering capability: lead architecture reviews, create reusable frameworks and reference designs, and raise the quality bar across multiple teams.

• Track recorddesigning and shipping largescale,lowlatency,highly availabledistributedAdssystems.

• Proven mentorship ofSenior/Staff engineers and effectivenessestablishingtechnical standards and communities of practice.

• API platform experience (REST/gRPC/GraphQL), SDK/developerexperience mindset, and a bias forcostaware, operable designs.

• Excited about working on large-scale, consumer-facing mobile and web applications

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

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Our Benefits:

Any general requests for consideration of your skills, please

to view the notice.

Essential Responsibilities:

• Develop and optimize machine learning models for various applications.
• Preprocess and analyze large datasets to extract meaningful insights.
• Deploy ML solutions into production environments using appropriate tools and frameworks.
• Collaborate with cross-functional teams to integrate ML models into products and services.
• Monitor and evaluate the performance of deployed models.

Expected Qualifications:

• 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
• Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
• Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.
• Several years of experience in designing, implementing, and deploying machine learning models.

• Advanced degree (Master's or Ph.D.) in a quantitative discipline such as Statistics, Mathematics, Computer Science, Engineering, or a related field.
• Strong knowledge of statistical and machine learning techniques, including but not limited to logistic regression, time-series modeling, random forests, support vector machines, gradient boosting (e.g., XGBoost), and deep learning architectures (e.g., CNNs, RNNs).
• Proficiency in programming and big-data technologies, with hands-on experience in tools such as Python (Scikit-learn, TensorFlow), SQL, Hadoop, and Spark.
• Relevant modeling experience in one or more of the following domains: credit risk scoring, fraud detection, financial forecasting, or marketing analytics - gained through industry or academic research.
• Strong collaboration and communication skills, with the ability to work effectively both independently and as part of a cross-functional team.
• Ability to articulate complex technical concepts clearly to non-technical stakeholders and build constructive working relationships across functions.

Preferred Qualifications

• Experience with Large Language Models (LLMs), Agentic AI, or related generative AI applications.
• Familiarity with model governance, model risk management, or AI regulatory compliance frameworks (e.g., SR 11-7, OCC 2011-12, EU AI Act) is a plus.

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

Belonging at PayPal:

Any general requests for consideration of your skills, please