Data Engineer at airapps | Amsterdam

Your Journey at Polarsteps - Data ScienceFor the last decade, Polarsteps has experienced remarkable growth, primarily driven by word-of-mouth referrals, thanks to our dedicated product and tech teams who have crafted an outstanding user experience for travelers.As a Data Scientist within the Growth & Marketing department, you will play a pivotal role in shap…

Your Journey at Polarsteps - Data ScienceFor the last decade, Polarsteps has experienced remarkable growth driven by our exceptional product and technology teams, fostering an unparalleled user experience for travelers worldwide.As a Data Scientist specializing in experimentation, you will be an integral part of our Growth & Marketing department. Collaborating closely with the Head of Growth, you will spearhead our experimentation practices and analyses, working alongside product managers, marketing teams, designers, and engineers. Your efforts will empower Polarsteps to make informed, data-driven decisions at scale.With over 20 million users and outstanding app store ratings of 4.8 and 4.7, along with features in several Google and Apple showcases, our journey thus far has been impressive. However, we are even more enthusiastic about the future, and you will play a pivotal role in steering Polarsteps toward reaching over 100 million users globally.Your Daily ResponsibilitiesHere’s what your day-to-day at Polarsteps will entail.Collaborate with product, growth, and marketing teams to convert business inquiries into meticulously designed experiments with clear success metrics.Design, execute, and analyze experiments within product and marketing domains to facilitate data-informed decisions at scale for Polarsteps.Enhance our experimentation methodologies by introducing advanced techniques (such as SPRT and stratified sampling) to accelerate learning and increase confidence in our deployments.Develop and sustain the statistical frameworks and tools that underpin our experimentation processes, including sample size calculators and automated analysis pipelines.Communicate experiment results and strategic insights to senior stakeholders, transforming statistical data into actionable recommendations.Your Skill SetWe are looking for candidates with the following qualifications. At least 5 years of relevant experience in data science and experimentation. Proven experience working with B2C native mobile applications. Proficiency in SQL, familiarity with Python, and knowledge of cloud data environments (like AWS, Clickhouse, etc.). Practical experience in developing and scaling experimentation practices, collaborating with product managers or marketing teams.

Welcome to Adyen Adyen is a leading financial technology platform that provides comprehensive payment, data, and financial solutions to high-profile clients including Meta, Uber, H&M, and Microsoft. We are committed to engineering success and empowering our team members to achieve their professional ambitions. We cultivate a dynamic environment that fosters growth, collaboration, and innovation. Our motivated teams work together to tackle complex technical challenges and deliver cutting-edge, ethical solutions that help businesses reach their goals more efficiently. About the Role We are on the lookout for a seasoned Data Scientist to join our Experimentation Platform team in Amsterdam. In this role, you will leverage your extensive knowledge of statistical hypothesis testing, experimental design, and quantitative research methodologies to enhance the scope of experimentation at Adyen. Your expertise will contribute to implementing advanced statistical approaches that drive experimentation at an unparalleled scale. Your Responsibilities Research and implement state-of-the-art statistical methods to deliver robust signals across diverse business contexts, optimizing for timeliness and experimental quality. Deepen your understanding of Adyen’s unique domain to prioritize methodologies that maximize business value. Stay current with the latest advancements in statistical hypothesis testing. Collaborate with a multidisciplinary team of backend, frontend, and data engineers to define requirements for new platform features, ensuring proper integration of statistical methods. Work alongside data scientists across Adyen to explore innovative applications of statistical and data science techniques to solve challenging problems. Engage with platform users to provide support and promote a culture of experimentation and data-driven product development.

Join our innovative team at sia as a Data Analytics Consultant, where your analytical skills will help drive business decisions and strategy. In this role, you will analyze complex data sets to extract insights that inform our clients’ decision-making processes. You will work collaboratively with cross-functional teams and directly engage with clients to deliver actionable strategies based on your findings.

Create meaningful change. Embrace humanity. Keep exploring.About UsAt Rewire, we are at the forefront of the AI revolution, harnessing the power of data to drive transformative solutions. As the volume of data expands exponentially, the demand for intelligent, impact-driven professionals is at an all-time high. We don't merely follow trends in Data and AI; we actively shape them.If you thrive on addressing real-world challenges and delivering tangible results, this opportunity is tailor-made for you! Your innovative mindset and expertise will empower you to significantly influence Rewire's trajectory, utilizing data and AI to craft pioneering solutions.We are on a bold mission to exponentially grow Rewire's business, and we need a Data Scientist to help us achieve our ambitions. You will have the unique opportunity to engage in impactful data and AI projects, collaborate intimately with clients, and facilitate significant outcomes for our esteemed clientele. Your role will be dynamic! You will support the everyday execution of transformation projects, while simultaneously enhancing your own skills and contributing to Rewire's thought leadership within the industry.Join a vibrant team of data and AI experts who tackle substantial challenges, create intelligent solutions, and enjoy the journey together. Ready to embark on this adventure?Your ContributionsAdvance data and AI initiatives – analyze datasets, construct models, and deliver insights that foster genuine business impact.Utilize state-of-the-art machine learning methods – address intricate, real-world issues with creative solutions.Create algorithmic solutions – take charge of your projects and help revolutionize critical business processes.Facilitate organizational transformation – implement data and AI innovations backed by our GAIN® certified education and training portfolio.Leverage your technical skills and communication abilities – develop scalable data and AI solutions that generate value throughout the organization.Team up with cross-functional teams from both the client and Rewire – make contributions from day one while gaining insights from seasoned leaders.Why Choose Us?Be part of groundbreaking innovation in the data and AI landscape.

Join our dynamic team as a Data Analyst / Analytics Engineer, where you'll play a pivotal role in transforming raw data into actionable insights that drive our strategic objectives for European expansion.At Insify, we are revolutionizing the insurance landscape for entrepreneurs. As fellow entrepreneurs, we understand the challenges of building and managing a business. Our goal is clear yet ambitious: to simplify business insurance tenfold for entrepreneurs and SMEs across Europe. We eliminate paperwork, confusing jargon, and outdated processes, delivering a seamless experience through modern technology, smart automation, and a customer-centric approach.As a rapidly growing European scale-up, backed by €43M from leading investors, Insify aims to establish itself as the foremost digital insurance provider for entrepreneurs and SMEs on a global scale. We started our journey in the Netherlands and have expanded into France and Germany, with plans to accelerate our growth. At our core, we are a technology-driven company, developing our own insurtech platform that leverages data, automation, and AI to transform the insurance process—from underwriting to claims. With a fully digital customer portal and an emphasis on user experience, we are committed to making insurance straightforward, transparent, and equitable. Our leadership consists of experienced entrepreneurs who bring a sense of urgency and ownership to our mission.Our Culture: A Brief InsightWe are not just building a company; we are creating a category leader. This endeavor demands ambition, accountability, and speed. Our culture is characterized by three fundamental principles:High Ownership: Team members take full responsibility for their tasks. If something is amiss, we proactively address it.High Pace: We embrace flexibility, making quick decisions and valuing progress and learning over perfection.High Standards: We prioritize outcomes over appearances, focusing on results, quality, and accountability.Collaboration is at the heart of our operations. We encourage in-person interactions, challenge each other's ideas, and welcome insights from all team members, regardless of their role or experience. The best ideas often emerge from unexpected sources, and we cultivate an environment where they can be shared.At Insify, we operate as a close-knit team. You will have the opportunity to connect with colleagues easily, fostering an engaging atmosphere where questions and ideas can be exchanged freely. We seek intelligent, ambitious individuals who think like owners, value intellectual honesty, and are driven by impact rather than comfort. If you thrive in an environment filled with challenges and opportunities to create meaningful change, you will excel here. However, if you prefer predictability and narrowly defined roles, this may not be the right fit for you.

Role Overview As a Senior Data Analytics Engineer based in Amsterdam, you will transform raw data into a strategic asset for the company. While the DataOps team builds the core infrastructure, this role focuses on developing the analytical framework that supports financial reporting, product forecasting, and go-to-market planning. The position connects technical infrastructure with business leadership, ensuring every department has reliable, self-service access to the data needed for quick decision-making. Your First Year First 3 months: Get to know the current technology stack (GCP, BigQuery, Airbyte, dbt), core business data models, and any data flow challenges. Deliver and refine initial high-priority models for product usage and financial reporting. Work closely with the Data Engineer to align on the new infrastructure roadmap. By 6 months: Build a semantic layer to standardize KPIs across the company. Lay the groundwork for AI-readiness and enable advanced natural language querying. After 1 year: Take full ownership of the company’s data modeling architecture. Ensure it supports AI and machine learning applications. Advise department heads by using data to shape long-term growth and forecasting strategies, while maintaining a governed data environment that gives business users confidence to explore data on their own. Key Responsibilities Data Product Ownership: Manage the full lifecycle of internal data products. Work with stakeholders to turn business questions into technical solutions, choosing the right tools to keep reporting scalable and accessible. Analytics Engineering: Design, build, and maintain core data models using dbt Labs. Develop the logic for critical datasets, including those used for financial reporting, churn forecasting, and reverse-ETL processes that sync warehouse data with business tools like Planhat and HubSpot. Data Governance and Semantic Layering: Uphold data integrity by implementing governance standards and developing the semantic layer to ensure consistent metrics across the company. Data Enablement: Partner with RevOps to create training and documentation that helps teams in Finance, Product, and GTM work independently with data products.

At bunq, we are not merely developing a banking app; we are revolutionizing the way individuals globally achieve financial freedom. We are seeking a Data Scientist to join our marketing division, becoming the analytical powerhouse that drives our growth. You will not only analyze historical data but also create predictive models and dashboards that illuminate our future, enabling our teams to act swiftly and confidently.Embrace ResponsibilityIn your role as a Data Scientist, you will transform strategic ambiguity into analytical precision. You will manage the comprehensive data lifecycle and emerge as a trusted ally who translates intricate data into actionable marketing strategies.Develop and oversee our predictive marketing models and impactful Looker dashboards, delivering the forward-thinking insights and tools essential for our teams to make proactive, data-driven choices.Lead end-to-end analytics pipelines using SQL and Python, encompassing data cleaning, feature engineering, and model development, to provide clear, actionable insights that shape our marketing approach.Collaborate closely with product, marketing, and engineering teams, translating complex analytical results into practical recommendations and establishing yourself as the go-to advisor for data-driven marketing.

everience is hiring a Data Scientist in Amsterdam. This position focuses on using data to support new ideas and improve services across the company. Role overview The Data Scientist will work on projects involving data analysis, machine learning, and statistical modeling. Collaboration with the engineering team is a key part of the job, with an emphasis on developing practical, data-driven solutions for real-world problems. What you will do Analyze data to uncover trends and insights Apply machine learning techniques to solve business challenges Build and refine statistical models Work closely with engineers to deliver solutions that make a difference Requirements Motivation to work with data and drive innovation Experience or interest in data analysis, machine learning, and statistical modeling Strong collaboration skills, especially when working with engineering teams

Join our dynamic Tech & Data team as an Analytics Engineer, where structured problem-solving meets innovative thinking. We're searching for an enthusiastic individual who thrives on creating robust and scalable data infrastructure while revealing insights that empower informed decision-making throughout our organization.In this pivotal role, you will blend analytical thinking with hands-on execution. Collaborating closely with cross-functional teams, you will streamline complex data challenges and enjoy the freedom to design systems that elevate Parfumado to become Europe’s leading perfume discovery platform. Intrigued? Read on.Note: You must currently reside in the Netherlands and possess a valid work permit or visa.Your ImpactTake ownership of our data platform, ensuring it remains fast, scalable, and reliable.Develop data models that empower teams to enhance their decision-making processes.Establish a robust data foundation to support Parfumado's future growth.Key ResponsibilitiesMaintain and develop our data architecture to ensure optimal reliability and performance.Design and enhance scalable data models in Snowflake and dbt.Build and manage ETL/ELT pipelines using tools such as Fivetran or custom Python scripts.Transform business inquiries into actionable data solutions and insightful dashboards.Proactively monitor data quality and resolve issues before they affect team operations.Collaborate with various departments (Marketing, Finance, Operations) to align data requirements with solutions.Foster a data-driven culture by enhancing documentation and improving data accessibility.What We OfferA competitive salary ranging from €5,000 to €6,000 per month, based on experience.A flexible Alleo budget that can be used for services like Felyx, Treatwell, Uber Eats, ClassPass, and Peakz Padel.Exclusive discounts at top brands such as Adidas, Zalando, and NAK-D through our Corporate Benefits platform.

As a Senior Manager of Data Science Insights and Analytics at dev2, you will lead a dynamic team dedicated to transforming data into actionable insights. Your role will encompass overseeing data analytics projects, driving strategic decision-making, and enhancing our selection processes through innovative data-driven methodologies.You will collaborate closely with cross-functional teams to harness the power of data, ensuring that our analytics capabilities are robust and impactful. This position demands a visionary leader who can inspire and guide a team of skilled data scientists and analysts.

In het kortTijdens deze stage krijg je de kans om deel uit te maken van één van onze dynamische Growth Teams, waar je actief bijdraagt aan het ontwikkelen en implementeren van innovatieve growth marketing-strategieën. Je zult hands-on ervaring opdoen in het identificeren van creatieve groeikansen, het opzetten van experimenten en het analyseren van gegevens. We moedigen je aan om jouw ideeën te testen en vorm te geven met behulp van de nieuwste tools en technologieën.Over Sprints & SneakersAls B-Corp gecertificeerde growth marketing agency met vestigingen in Amsterdam en Groningen, stellen wij missiegedreven merken in staat om duurzame groei te realiseren door middel van data-gedreven experimenten, technologie, AI en creativiteit. Ons doel is om bedrijven te ondersteunen die een positieve impact op de wereld hebben. Ons multidisciplinaire team, dat bestaat uit data-experts, growth marketeers en AI-specialisten, optimaliseert de volledige marketingfunnel, van merkbekendheid tot merkambassadeurschap, werkend in agile “sprints”. Bekend als de eerste B-Corp Growth Agency van Nederland, staan we voor “Growth for Good”. Onze no-nonsense cultuur, gesymboliseerd door “sneakers” in plaats van maatpakken, brengt startup-energie naar zowel grote organisaties als gedurfde startups.Jouw impact binnen deze rolIn de rol van Growth Marketing Stagiair(e) draag je bij aan de groei van onze missiegedreven klanten en ons eigen merk. Je ondersteunt het team bij het opzetten, optimaliseren en analyseren van digitale marketingcampagnes, en leert hoe je data en tools effectief inzet voor optimale resultaten. Jouw inzet zal onze marketingstrategie niet alleen effectiever maken, maar ook innovatiever. Je zult onder andere werken aan:SEA, SEO & Social Advertising: Je helpt bij het opzetten, monitoren en optimaliseren van betaalde en organische campagnes om bereik, conversies en merkbekendheid te vergroten.Data & Analytics: Je verzamelt en analyseert data om inzicht te krijgen in campagneprestaties en gebruikersgedrag, en vertaalt deze inzichten naar concrete verbeteringen.A/B Testing: Je bedenkt, test en evalueert verschillende varianten van campagnes, landingspagina’s of content om continu betere resultaten te behalen.

Join Vattenfall as a Senior Analytics Engineer and play a crucial role in our mission to create a sustainable energy future. In this position, you will leverage your analytical skills to transform complex data into actionable insights, driving strategic decisions across our organization.

Join ServiceNow as a Solution Sales Executive specializing in AI, Data, and Analytics. In this role, you will leverage cutting-edge technologies and solutions to drive business outcomes for our clients. Your expertise will help organizations harness the power of data and AI to enhance their operations and decision-making processes.

Join Our Team as an Analytics Engineer At Insify, we are not just another company; we are at the forefront of a revolution in the insurance sector. Backed by €43M in funding from prestigious investors such as Accel, Munich Re Ventures, and Formula 1 champion Nico Rosberg, we have rapidly expanded from our roots in the Netherlands to France and Germany. Our goal? To lead the European market and establish ourselves as a global powerhouse in AI-driven SME insurance. Our culture is dynamic, high-pressure, and driven by a mission to succeed. We seek intelligent and ambitious individuals who possess the tenacity to excel and share our vision of becoming a category leader on a global scale. Our founding team is comprised of experienced entrepreneurs who have successfully built renowned businesses like HelloFresh, Bloomon, and SumUp, merging extensive fintech and e-commerce knowledge with innovative AI technology. We are currently seeking a motivated Analytics Engineer to collaborate closely with our Product and Insurance teams. In this role, you will contribute to the development of instant, personalized, and affordable financial safety products tailored for entrepreneurs.

Join our innovative team at DEPT® as an Analytics Consultant, where we transform data into actionable insights for ambitious brands. Located in vibrant Amsterdam or Rotterdam, this hybrid role allows you to balance office and remote work effectively.At DEPT®, we pride ourselves on our ability to merge technology and marketing for stellar growth. Our talented team of over 4,000 specialists consistently delivers exceptional services across various domains including Brand & Media, Experience, Commerce, CRM, and Technology & Data. Partnering with high-profile clients such as Google, Lufthansa, Meta, eBay, and OpenAI, we are recognized as a certified B Corp and Climate Neutral since 2021.Key Responsibilities:Collaborate with a dynamic team of Analytics Consultants operating across Europe.Focus on data measurement, collection, processing, and activation strategies.Utilize strategic and technical skills to assist clients in defining KPIs and executing comprehensive measurement plans.Guide clients in adopting new features (Google) and implementing compliant data collection processes.

Join our dynamic team at Adyen as a Machine Learning Scientist. In this role, you'll be at the forefront of developing innovative machine learning algorithms that enhance our payment solutions. Collaborate with cross-functional teams to translate complex data into actionable insights and drive decision-making processes across the organization.

Join Patagonia, a pioneering outdoor apparel brand established in 1973, devoted to safeguarding our planet in the face of environmental challenges. As a registered B Corporation and a founding member of 1% for the Planet, we are globally recognized for our dedication to product excellence and environmental activism, having contributed over $145 million in grants and in-kind donations to numerous grassroots environmental initiatives worldwide.Your role:At Patagonia, our mission is to protect our home planet. As the Analytics & Insights Manager, you will play a pivotal role in achieving this goal by spearheading EMEA-wide reporting, forecasting, and business intelligence tools to equip Sales Channels, Finance, Planning, and Senior Management with data-driven insights. You will lead a team of analysts focused on data, reporting, and insights, ensuring adherence to consistent reporting standards, developing and maintaining dashboards and forecasting models, and delivering market and customer insights across various regions and sales channels.Main tasks:• Team Management: Inspire and guide a team of three Data, Reporting, and Insights Analysts, managing daily priorities, output quality, and fostering expertise in business intelligence and insights creation.• Forecasting & Business Planning: Oversee the monthly and annual revenue forecasting processes for all EMEA sales channels, assisting in long-term financial planning (1-5 years), including the development of seasonal buy budgets.• Reporting Governance & Tools: Take ownership of creating and managing standardized dashboards and reporting systems across various platforms, including Power BI, Tableau, and Excel, ensuring accuracy and consistency in reporting.• Insight Generation: Deliver regular and ad-hoc insights on market trends, customer behavior, campaign performance, and sales data to channel leaders and the senior leadership team, enabling informed decision-making.• Cross-Functional Project Support: Collaborate with Planning, FP&A, Marketplace, and IT on analytics initiatives, supporting regional input into global programs like Integrated Business Planning (IBP) and global data consistency efforts.What we’re looking for:• A commitment to inclusivity and diversity• Over 7 years of experience in data analytics, with significant team management experience• Proficient in data analysis and modeling applied to forecasting, business planning, and generating insights using tools such as Power BI, Tableau, and Excel• Comprehensive understanding of customer and market insights for identifying business opportunities, trends, and performance gaps

Join our dynamic team as a Data Science Consultant at sia in Amsterdam. In this pivotal role, you will leverage your analytical skills and expertise in data science to drive impactful business decisions. You will work closely with cross-functional teams to develop data-driven strategies and solutions that enhance organizational performance.

Are you passionate about working in a multidisciplinary field that utilizes scientifically-backed methods, processes, and techniques to gain insights from both structured and unstructured data? Do you possess programming skills and have a broad understanding of various techniques at the intersection of statistics, mathematics, information science, and computer science? If so, the Data Science Traineeship at sdp is the perfect next step for you! These are the skills we are looking for to kickstart your career in Data Science.As a Data Scientist, you will perform calculations based on data to make predictions about future developments within the industry or organization. Being a proficient programmer is essential for this role. Furthermore, a Data Scientist engages in building, predicting, and evaluating algorithms, looking not only at past and present data but also utilizing predictive models to forecast future trends.Our Data Science Traineeship begins every quarter, where you will be trained by specialists with real-world experience to become a Junior Data Engineer or Junior Data Scientist.During the first three months, you will receive full-time training (theory, exams, and practical experience) from professionals in the data field. Following this training period, we will guide you towards suitable clients in your local area. We ensure you participate in several interviews with exciting clients, allowing you to choose where you wish to begin your career. A complete overview of our current clients can be found here.Your tasks will vary depending on the client and industry, but may include:Cleaning and processing raw data into usable data;Setting up and configuring a data warehouse;Advising on current and future business operations based on your findings;Identifying patterns in large datasets to develop predictive algorithms (machine learning);Describing and visualizing discovered insights and predictions.