Global Talent Intern at Jacobs Douwe Egberts | Amsterdam

The Global Talent Intern position at Jacobs Douwe Egberts in Amsterdam provides practical experience in Human Resources. This internship centers on supporting global talent strategies and participating in ongoing projects that impact the wider organization. Key Responsibilities Assist with various recruitment activities Support initiatives to boost employee …

At De Brauw, we are committed to supporting ambitious law students through the De Brauw Scholarship Program. Are you a motivated law student facing challenges such as limited resources and a restricted network? We are here to help! In collaboration with our colleagues and clients, we have established the De Brauw Scholarship Program, which not only provides financial assistance but also grants access to our extensive professional network, tailored for students who could benefit from support and guidance in their academic journey.We believe in the power of diverse perspectives to find the best solutions, making equal opportunities a key driver for us. This scholarship program is designed to offer chances to students for whom the path to success may not be straightforward.Who is eligible?Despite your determination to achieve your ambitions, limited financial resources can create daily obstacles that make it challenging to focus entirely on your studies. We recognize that building a network can be daunting if you lack contacts to seek advice and assistance from. The De Brauw Scholarship Program aims to support law students for whom the professional development path in the legal field is not evident. If you identify with this and are currently in your third or final year of law studies, we would love to hear from you.What can you expect from the Scholarship Program?We offer five scholarships of EUR 5,000 each to support your academic and professional development. Use this scholarship for tuition, study materials, or other related expenses, ensuring you have help to achieve your professional goals and grow to your fullest potential.If selected, you will be matched with a lawyer from De Brauw who will mentor you for a year. You will receive invitations to tailored events designed to expand your professional network, aligning with your interests and future career prospects. Our goal is to empower you to build a network informally and introduce you to our wide-reaching connections. Both your mentor and other colleagues will be available to answer your questions and support you in preparing for job interviews, whether at De Brauw or elsewhere in the future.How to apply?Could you benefit from this support? Please upload the following documents on our website before June 16, 2025:We want to get to know you better. Send us a brief introduction letter (maximum 250 words/three minutes) sharing an achievement you are proud of.Let us know what you have accomplished so far. Therefore, also send your CV in English or Dutch (maximum...

As a Data Engineer at Hot ITem Conclusion, you are more than just a technical expert; your understanding of data enables our clients to derive greater value from their data platforms. You translate complex challenges into scalable and innovative data architectures, playing an integral role from inception to realization. Whether building a modern data foundation for the largest amusement park in the Netherlands or a hospital in Amsterdam, your work ensures that data creates a real impact.Daily, you will engage with vast amounts of data, ensuring that billions of records are processed promptly and efficiently. Innovation is a constant theme in your work; you continually seek smart and innovative solutions.Interested in learning more about this role? Read the interview with our Data Engineer Nirwan Ahmed to discover his experiences.

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.

Join our dynamic team at Sia as a Data Engineer Consultant, where you will play a pivotal role in driving data solutions that empower our clients. As a key member of our consultancy, you will leverage your technical expertise to design, implement, and optimize data infrastructures that support business objectives. You will work closely with clients to understand their needs, ensuring that data solutions are not only effective but also scalable and sustainable.

Senior Data EngineerAbout AND DigitalAt AND Digital, we are committed to accelerating the growth of digital capabilities for organizations. Our mission is to empower visionary leaders and businesses by creating the teams, products, processes, and operational frameworks necessary to bridge the digital skills gap, ensuring their success into the future.Our clients trust us for our extensive expertise, agility, and craftsmanship across technology and business strategy, software development, and product management. We tackle some of today’s most pressing challenges with creative solutions.We are on the lookout for innovative thinkers, skilled tinkerers, passionate software craftsmen, and motivating technologists to join us in solving complex issues. Together, we are driven by a common purpose and the belief that while technology can enable transformation, it is ultimately the people who drive meaningful change.Your RoleAs a Senior Data Engineer, your primary focus will be to assist clients in meeting their data engineering requirements. You will be involved in the development, deployment, and maintenance of data pipelines within a dynamic Agile environment.Your contributions will significantly influence the team’s Agile practices, technical decision-making, and the overall quality and reliability of our data and processes. Your role will also include mentoring junior and mid-level technologists, both at AND and for our clients, which encompasses the following responsibilities:Extracting data from diverse data sourcesCreating code for data ingestion and transformationTransforming data to empower data scientists and product analystsDesigning and building scalable and extensible data architecturesExecuting large-scale batch and real-time processingAdvising clients on effective data engineering strategiesCollaborating with technical leads for system integrationsShaping Technical DirectionActively engaging with our Consultancy Data Strategy and Insight practice to formulate and implement clients’ data strategiesPromoting and maintaining high standards of technical quality

airapps is hiring a Data Engineer in Amsterdam. This position centers on building and maintaining data pipelines that support analytics and data architecture needs across the company. Role overview The Data Engineer will design and implement data solutions that help teams make informed decisions. This work involves structuring data flows and ensuring that information moves efficiently and accurately throughout the organization. What you will do Create and maintain data pipelines to support analytics and reporting Contribute to the overall data architecture Support data-driven decision making by ensuring reliable data delivery Requirements Experience with data architecture and analytics Ability to design and implement data pipelines Interest in working collaboratively within a team

We are seeking a highly motivated and experienced Program Manager to lead our Business Operations at dev2 in Amsterdam. In this pivotal role, you will drive strategic initiatives, optimize operational processes, and ensure alignment across various business functions. Your leadership will be crucial in enhancing productivity and fostering a culture of continuous improvement.

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.

Join our dynamic and diverse Data Science team at Sia, where innovation meets collaboration! As we continue to grow, you will play a vital role in shaping the future of our team. We promote a flat organizational structure that values entrepreneurial spirit and initiative. Our commitment to well-being, diversity, and knowledge-sharing fosters a culture where all members can thrive.As a Data Engineer Consultant, you will engage in various client projects and collaborate with our French Data Engineering team to develop our cutting-edge Sia AI solutions. Your responsibilities will include:Designing cloud architectures on platforms like GCP, AWS, and Azure, focusing on storage & compute services, cost optimization, role management, and Infrastructure as Code.Implementing Docker and Kubernetes for containerization and orchestration of applications tailored to Data Science workloads.Developing Python-based server-side tools, including bulk data processing and REST API servers.Managing CI/CD pipelines to ensure seamless integration and deployment of applications and platforms, supporting Data Science projects at client sites.Creating ETL scripts to establish efficient data pipelines in Big Data environments.Monitoring technologies and implementing Machine Learning solutions that enhance the capabilities of Data Scientists in model development and deployment.

Join sia as a Senior Data Science Consultant in the vibrant city of Amsterdam! We are seeking a talented individual who is passionate about leveraging data to drive business insights and innovation. In this dynamic role, you will collaborate with clients to develop data-driven strategies, implement advanced analytics solutions, and support decision-making processes.As a Senior Data Science Consultant, you will utilize your expertise in statistical modeling, machine learning, and data visualization to solve complex business challenges. You will have the opportunity to work with cutting-edge technologies and methodologies in a collaborative environment.

The Data Center Operations Coordinator plays a critical role in managing the daily operations of electronic devices and servers, ensuring smooth data transfer processes both locally and globally. This position involves monitoring the availability of physical assets, ensuring adherence to compliance standards, managing inventory through intuitive dashboards, and collaborating with software, hardware, and logistics teams.Effective communication with various stakeholders is essential to coordinate tasks efficiently, address customer inquiries, and provide timely updates on project progress. Key responsibilities include overseeing cloud-based data transfer operations, identifying discrepancies, performing regular system checks, and escalating issues as needed.As a vital liaison, the Data Center Operations Coordinator works closely with multinational teams to standardize processes globally, facilitate discussions, and anticipate business needs. This role requires strong problem-solving skills, the ability to prioritize tasks based on urgency, and a willingness to attend meetings outside regular hours when necessary.

(Senior) Data Management ConsultantAre you passionate about data and excited to tackle complex challenges? Do you want to support organizations in effectively managing and leveraging their data? As a Data Management Consultant, you will play a pivotal role in enhancing our clients' data infrastructure. You will analyze, design, and implement Data Management solutions that ensure accurate, consistent, and secure data. If you have a strong analytical mindset and a passion for data, we want to hear from you!In this role, you will be part of our Data & Analytics team, assisting clients with a variety of data management and governance challenges. These may include developing data management strategies, improving data quality, drafting data policies, or implementing software solutions. You will have the opportunity to specialize further in roles such as data governance specialist, data strategist, or implementation expert.Your Key Responsibilities IncludeProcessing data through the establishment of ETL pipelines.Designing and developing data storage solutions utilizing cloud technologies (AWS, Azure, GCP).Creating and developing reports and dashboards.Conducting analyses to support decision-making or business processes.Applying machine learning & AI techniques to generate value for companies.Providing guidance and support to clients or your BearingPoint colleagues in implementing the outcomes of analyses.

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.

As a Data Management Specialist at AFM, you will play a pivotal role in conceptualizing, developing, and implementing data management functionalities within the organization. You will establish the necessary conditions for data-driven decision-making, which is increasingly important for AFM.Your responsibilities include modeling data and creating definitions while considering both the regulator and the data provider, such as banks. You will oversee data architecture ensuring that data is properly organized within the internal Managed Data Platform (MDP). Additionally, you will focus on data quality through rigorous checks.You will collaborate on use-cases (projects) for both Supervision and Innovation. For Supervision, this involves detailing data management functions for supervisory projects. In terms of Innovation, you will devise data management policies and functions for AFM. Furthermore, you will engage in data governance, including handling authorization requests from colleagues.Your role also involves ensuring that colleagues effectively utilize data management functions, which includes providing training sessions. In summary, you will be the bridging factor between Supervision/Operations and the Managed Data Platform.

Join us for the Be Inspired - Female Mentorship Program 2026, an initiative designed to empower and inspire women in their professional journeys. This program aims to connect female mentees with experienced mentors who can provide guidance, support, and valuable insights into navigating their careers. Participate in enriching workshops, networking opportunities, and one-on-one mentorship sessions that foster personal and professional growth.

Hot ITem Conclusion seeks a Data Platform Architect in Amsterdam, Noord-Holland. This position shapes client data platforms, ensuring they remain effective, scalable, and aligned with business strategy. The architect brings structure to complex data environments, guiding the translation of strategic goals and business challenges into practical data architecture. The emphasis is on architectural direction and oversight, not hands-on building. Main responsibilities Design data flows from source systems through to consumption, supporting business intelligence, machine learning, and AI use cases Make key decisions on data architecture, modeling, and integration patterns Evaluate how data sources can be accessed efficiently and add value Advise on cloud and platform options, including Azure, AWS, GCP, Databricks, and Snowflake Establish frameworks for data quality, privacy, security, and governance Create and maintain a roadmap for the data platform’s evolution in line with organizational goals This role collaborates closely with business stakeholders, program management, and technical development teams to keep architectural vision unified, even when interests or priorities diverge. Impact Structuring complex data environments, the architect unifies separate initiatives into a cohesive, practical data platform. Whether developing new solutions or improving existing ones, this role ensures approaches are both coherent in design and functional in practice. What makes a strong candidate Decisive and comfortable providing clear direction Skilled at connecting business needs with technology Able to translate complex challenges into actionable principles Willing to take ownership of the platform’s overall coherence Engages stakeholders and communicates decisions effectively Team and culture The Engineering team at Hot ITem Conclusion includes around 60 professionals: Data, Platform, and AI Engineers, Technical Leads, and Data Platform Architects. The Technical Architecture & Leadership group consists of about 15 experienced architects and leads who design and implement modern data platforms for clients. Personal development and team spirit are valued. Hackathons, social gatherings, and tech events keep the team connected and current with new technologies.

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.

Join our dynamic team at Vattenfall as a Marketing Data Specialist. In this pivotal role, you will leverage data analytics to drive marketing strategies, enhance customer engagement, and optimize campaign performance. Your expertise in data interpretation will enable us to understand market trends and customer behaviors, ultimately improving our service offerings.

Why join Nebius?Nebius is at the forefront of cloud computing, driving innovation to support the global AI economy. Our mission is to equip clients with the essential tools and resources they need to tackle real-world challenges and revolutionize industries—all while minimizing infrastructure costs and eliminating the necessity for extensive in-house AI/ML teams. Here, you will collaborate with some of the most talented and innovative leaders and engineers in AI cloud infrastructure.Our Work EnvironmentBased in Amsterdam and publicly traded on Nasdaq, Nebius boasts a global presence with R&D hubs in Europe, North America, and Israel. Our diverse team of over 1,400 professionals includes more than 400 expert engineers specializing in hardware and software engineering, complemented by an in-house AI R&D team.Role OverviewThe Sales Compensation and Incentive Programs Manager will play a pivotal role in the design, governance, and implementation of compensation programs for our Sales, Business Development, and Partnerships teams. This position is critical in ensuring that incentive structures effectively align compensation with performance, catalyze revenue growth, and adapt to the evolving company strategy. You will work closely with Sales leadership, Finance, Compensation & Benefits, Analytics, and Operations to guarantee accurate KPI measurement, bonus calculations, and compliance in compensation governance. Additionally, you will oversee revenue tracking methodologies, KPI dashboards, and debt collection governance processes to promote transparency, compliance, and operational efficiency.Key ResponsibilitiesSales Compensation GovernanceDesign and maintain incentive plans for Sales, Business Development, and Partnerships teams.Ensure alignment between compensation plans and the company’s revenue strategy.Govern compensation structures and policies effectively.Bonus Calculation and Revenue AttributionOversee quarterly bonus calculation processes.Maintain the methodology for Booking revenue and KPI inputs.Coordinate cross-functional validation with Finance, Compensation & Benefits, and Sales leadership.Manage exception approvals and bonus validation processes.KPI Framework and Target SettingDevelop KPI structures for Sales teams and startup teams.Create methodologies for setting sales targets by role.Collaborate with Analytics teams to create dashboards that measure KPI attainment.