Senior Data Engineer in Amsterdam

Dept is looking for a Data Engineer Intern to join the team in Amsterdam or Rotterdam. This internship offers practical experience in data engineering and the chance to contribute to real projects alongside experienced colleagues. What you will do Work on data integration, analytics, and visualization tasks as part of ongoing projects Collaborate with professionals in the field to solve technical challenges Apply and develop technical skills while learning about current tools and technologies in data engineering Who this role is for Individuals interested in data engineering and eager to start a career in this area Those looking to gain hands-on experience and learn from skilled team members This internship focuses on learning through direct involvement in project work. Candidates will have opportunities to build technical knowledge and contribute to meaningful outcomes.

Role Overview jobs is entering a key growth stage and is looking for a Data Engineer in Amsterdam to shape the data infrastructure supporting our platform. This role connects data acquisition with engineering, moving our teams from manual work to a fully automated environment. The focus: build tailored data pipelines, implement orchestration, and enable Operations and leadership to shift from basic reporting to advanced, AI-ready data products. Infrastructure-as-Code, orchestration tools, and system resilience are central to this position, supporting both Product and Go-To-Market strategies. Your First Year: What to Expect First 3 months: Learn our stack (GCP, BigQuery, Airbyte, dbt) and spot issues in current data flows. Deliver quick improvements to product usage analytics for Product and Go-To-Market teams. Start designing custom data pipelines and plan the migration of our infrastructure to Terraform. By 6 months: Launch a new orchestration layer (such as Airflow or Dagster). Move the first custom pipelines into production. Work with the Analytics Engineer to combine product usage, CRM, and billing data for a unified customer journey view. Define much of our data infrastructure as code, reducing manual work and improving reliability. After 1 year: Take full strategic ownership of the data platform and its architecture. Advise leadership on scaling new data-driven features. Prepare our data warehouse for AI and Machine Learning by ensuring strong quality controls, governance, and fast access patterns. Main Responsibilities Infrastructure-as-Code: Move all GCP and BigQuery resources into Terraform. Set up automated CI/CD so the data environment is reproducible, version-controlled, and ready for enterprise needs. Production Pipelines: Design, build, and manage reliable ELT pipelines. Establish a modern orchestration layer (such as Airflow or Dagster) to streamline pipeline operations.

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 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.

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 Us as a Data Engineer Intern at Transferz!Are you passionate about leveraging commercial and operational data to extract valuable insights? Do you thrive in a fast-paced, ever-evolving scale-up environment and enjoy identifying market opportunities through data analysis? If so, we invite you to apply for the Data Engineer Intern position at Transferz!Role: Data Engineer InternLocation: Amsterdam (Office-based)Duration: Minimum of 6 monthsStart Date: ASAP or flexible based on your availabilityAbout Transferz:Transferz is a global marketplace specializing in ground transportation, catering to travelers, travel brands, and transfer companies. Our platform enables travelers to complete their journeys effortlessly with door-to-door transfers, providing the flexibility to choose their preferred vehicle type and pricing. With operations spanning over 150 countries, including more than 1,200 airports and seaports, and a network of over 1,500 transfer companies, Transferz is at the forefront of global travel. Our goal is to become the leading name in pre-booked ground transportation.As a Data Engineer Intern, you will be an integral part of our global data team, serving as a primary resource for our engineering needs. You will contribute to our revenue management tools, ensuring we provide competitive pricing on a worldwide scale, and collaborate closely with international teams to create impactful automated solutions.Your Responsibilities:· Automate existing processes, either independently or in collaboration with our data engineers.· Develop real-time pricing analytics tools.· Create and maintain insightful reports and interactive dashboards using Power BI.· Collaborate with stakeholders to convert data requirements into actionable insights.· Stay updated on industry analytics trends and innovative AI methodologies.

Establish the backbone of data-driven transformationAt Riverflex, we specialize in creating and implementing scalable digital solutions that enable businesses to unlock the full potential of their data. We are seeking a Lead Data Platform Engineer to join our dynamic internal team, bringing extensive technical knowledge and leadership skills to enhance, scale, and innovate our data infrastructure.In this position, you will design cloud-native data platforms, spearhead the development of data pipelines and tools, and mentor a team of engineers in constructing robust, secure, and real-time data systems. You will collaborate with product, analytics, and client delivery teams to promote top-tier data engineering practices and facilitate data products that drive transformation.Your ResponsibilitiesDesign and maintain end-to-end data platforms within cloud environments (Azure, Databricks).Create and implement secure, scalable, and automated data pipelines.Work alongside analytics, product, and engineering teams to convert business requirements into data solutions.Oversee data platform reliability, performance, monitoring, and incident management.Implement and promote best practices in data modeling, governance, testing, and documentation.

Make an impact. Embrace humanity. Stay inquisitive.About UsAt Rewire, we are at the forefront of the AI revolution, driving transformative changes in the world with data. As the volume of data skyrockets, the demand for innovative, purpose-driven professionals like you is more critical than ever. We don’t just adapt to trends in Data & AI—we lead them.If you thrive on solving real-world problems and delivering measurable results, this opportunity is tailored for you! With your forward-thinking approach and specialized knowledge, you can significantly influence the trajectory of Rewire by utilizing data and AI to craft state-of-the-art solutions.As part of our ambitious mission to accelerate Rewire's growth, we are seeking a Data Engineer to join our team. In this role, you will have the exceptional chance to work on data and AI projects, collaborate directly with clients, and generate impactful results for our esteemed clientele. Your responsibilities will include supporting the execution of transformation projects from a technical standpoint, which encompasses designing and developing data & AI solutions, collaborating on architectural visions with clients, and evaluating organizations' progress in their data transformation journeys. You’ll receive training to become a technical leader, bridging the realms of business, technology, data, and AI.Become a part of a vibrant team of data and AI experts who confront significant challenges, innovate smart solutions, and enjoy the journey together. Excited to join us?Your Impact AreasDevelop a robust data & AI infrastructure – design and implement pipelines, platforms, and systems that empower our clients' data-driven goals.Guide clients on technical best practices – convert business requirements into effective engineering strategies, bridging the gap between concept and execution.Create scalable software solutions – produce clean, maintainable code that transforms complex requirements into reliable, production-ready systems.Support organizational transformation – execute data & AI innovations supported by GAIN®, our certified training portfolio.Leverage your technical skills and communication abilities – construct scalable data & AI solutions that enhance value across the organization.Collaborate with interdisciplinary teams from both the client and Rewire – contribute from day one while absorbing knowledge from seasoned leaders.

Welcome to Adyen Adyen is a leading financial technology platform, providing integrated payment solutions, data analytics, and financial products for industry giants like Meta, Uber, H&M, and Microsoft. We strive to empower businesses with the tools they need to succeed in a rapidly evolving digital landscape. At Adyen, we foster a culture of ambition and innovation, encouraging our teams to take ownership of their careers and explore their potential. Our collaborative environment tackles complex technical challenges at scale, resulting in ethical solutions that accelerate business growth. Position Overview: Data Center Engineer We are on the lookout for a skilled and self-sufficient Data Center Engineer to join our dynamic team in Amsterdam. In this pivotal role, you will manage the lifecycle and asset management of our data center infrastructure while ensuring accurate DCIM documentation to serve as the definitive reference for our global teams. Your responsibilities will include collaborating with international teams and local vendors to support both day-to-day operations and strategic infrastructure advancements. You will also have the opportunity to travel internationally several weeks a year for site audits, large-scale deployments, and standardizing lifecycle protocols across our global operations.

Role Overview Werken bij NLR in Amsterdam is looking for a Mechanical Engineer focused on internal projects. This role centers on optimizing wind tunnel facilities and managing technical revision and infrastructure projects. The position suits someone who enjoys translating technical requirements into practical solutions and keeping projects on track from start to finish. Main Responsibilities Initiate, coordinate, and deliver internal mechanical engineering projects, with a focus on wind tunnel infrastructure and installations. Work closely with internal stakeholders, including operations and R&D teams. Optimize existing installations and design new infrastructure solutions based on organizational needs. Translate internal requirements into clear mechanical specifications and solutions. Oversee projects from initial planning through execution and delivery. Coordinate and supervise revision and investment projects. Direct external parties and subcontractors, including requesting and evaluating quotations. Conduct and assess technical analyses, such as strength and stiffness calculations for installations and structures. Verify that installations and infrastructure comply with the Machinery Directive and relevant standards. Prepare and carry out Risk Inventories & Evaluations (RI&E) for installations and projects. Guide CE marking processes for both new and existing installations. Create, manage, and safeguard technical documentation in line with laws and regulations. Initiate and support compliance processes to ensure installations meet regulatory requirements. Monitor project planning, quality, and budget. Working Style This position requires both independent project work and collaboration across departments. There is room for initiative and creative problem-solving. The Mechanical Engineer acts as a connector within the organization, ensuring technical solutions meet practical needs and compliance standards.

As a Senior Data Engineer at Hot ITem Conclusion, you will be more than just a technical expert; your deep understanding of data will empower our clients to derive greater value from their data platforms. You will translate complex challenges into scalable and innovative data architectures, being involved from inception to execution. Whether you're building a modern data foundation for the largest amusement park in the Netherlands or a hospital in Amsterdam, your work will ensure that data makes a real impact.You will work daily with vast amounts of data, ensuring that billions of records are processed promptly and efficiently. Innovation is a thread that runs through your work; you will constantly seek intelligent and innovative solutions. Additionally, you will mentor your colleagues, ensuring they can optimally support clients in enhancing and automating business processes. By actively sharing your knowledge and experience, you contribute to the growth and development of the team.Interested in learning more about this role? Read the interview with our Data Engineer Nirwan Ahmed and discover his experiences.

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

Please be aware that we will never request payment or bank account information during any phase of the recruitment process. As we expand our teams, we advise caution against fraudulent job postings or recruitment activities that misuse our company name and information. Safeguard your personal information throughout the recruitment process. Monks may reach out to potential candidates via LinkedIn, but all applications must be submitted through our official website (monks.com/careers).About the RoleAs a Data Engineer at Monks, you will play a crucial role in shaping and contributing to innovative projects by designing, constructing, and maintaining data pipelines and cloud infrastructure. A solid understanding of cloud environments, data pipelines, data cleansing, and basic data warehousing is essential. Ideally, you will also have a foundational grasp of machine learning concepts, enabling you to connect engineering practices with advanced marketing analytics applications. This position offers an exceptional opportunity for individuals aiming to advance their careers in data engineering and data science.This role, based in the Netherlands, involves supporting the Data Strategy team for a significant client in the region. We provide a vibrant and challenging work environment at the cutting edge of AI-driven marketing innovation. If you are passionate about exploring new possibilities, we encourage you to apply!

Ignite the Power of Data!We are thrilled to welcome you to our team! Your expertise is essential in transforming our data and AI foundations into a reality that aligns with our vision. Your contributions ensure that data flows seamlessly through robust systems, empowering a platform that is intelligent, high-performing, and impactful.As a Senior Data / AI Engineer at Effectory, you will be a pivotal architect of the intelligence that drives our operations. You will design, maintain, and enhance the data architecture that fuels our analytics, powers AI functionalities, and enables organizations worldwide to convert employee feedback into actionable insights.Collaboration is key; you will work closely with Product Managers, Data Scientists, and Software Engineers to guarantee high-quality data and the AI models built upon it. Whether you are optimizing data pipelines, deploying machine learning models, or automating workflows, your efforts will ensure our platform scales with clarity, trust, and technical excellence.Your impact at Effectory lies in your ability to turn feedback into insightful data.Your Responsibilities:Design, develop, and refine scalable data architectures that align with business needs and AI/ML objectives.Create and oversee data ingestion pipelines from various sources, ensuring data is clean, structured, and primed for analytics or model training.Prepare data for AI, ML, and advanced analytics by enhancing quality, reliability, and accessibility.Integrate data from APIs, databases, events, and other internal/external sources.Collaborate with Data Scientists to deliver models and AI workflows to production, ensuring deployment, monitoring, and lifecycle management.Automate workflows using CI/CD, orchestration tools, and contemporary DevOps/MLOps practices.Engage with Product, Engineering, and Analytics teams to translate business requirements into technical solutions.Deploy and monitor data pipelines and models using cloud-native tools (preferably Azure).Provide comprehensive documentation, support, and guidance to internal stakeholders and customers.Continuously enhance our tools, workflows, and architecture.Stay updated with emerging data and AI technologies and best practices.Work within an agile, cross-functional team environment aligned with company OKRs.Take ownership of technical decisions and their implications on our product and platform.

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.

Drive Data-Driven Transformation at RiverflexAt Riverflex, we empower organizations to harness the full potential of their data using scalable, cloud-native platforms and cutting-edge analytics solutions. We are seeking a Senior Manager of Data Engineering to join our Intelligence & Data (I&D) practice, where you will play a pivotal role in enhancing our data engineering capabilities, leading complex client projects, and nurturing high-performing teams.In this leadership position, you will leverage your extensive technical knowledge alongside strategic vision. You'll design enterprise-scale data platforms, guide teams in the delivery of comprehensive data solutions, and serve as a trusted advisor to clients, facilitating impactful, data-driven transformations across various sectors.Why Join Riverflex?Collaborative Community: Be part of a vibrant and dynamic team that values social connections and teamwork, fostering an inclusive environment.Global Diversity: Work in an international setting where diverse backgrounds and perspectives enrich our collective experience.Ownership and Impact: Enjoy the autonomy to take ownership of projects, drive significant results, and make a lasting impact in the evolving field of data engineering.Professional Development: We are committed to your growth, offering tailored opportunities to advance your career and stay ahead in data engineering innovation through continuous learning.

As an Azure Data Engineer (DevOps Engineer) at AFM, you will play a crucial role in unlocking, structuring, and preparing data across various domains. Within our Azure cloud environment, data is distributed across Databricks, SQL databases, and Azure Storage (flat files/blobs). Your responsibility will be to establish these environments so that both internal and external users, including regulators, can immediately access high-quality data.In addition to your technical responsibilities, you will act as a consultant in data quality and security matters. Given that AFM also handles sensitive data, you will need to keep security considerations at the forefront. Furthermore, you will contribute to optimizing data operations through automation and by adopting a DevOps and DataOps mindset.You will be part of the Data-Driven Supervision department, which consists of decentralized Business-DevOps teams and a platform team comprised of data management specialists, data engineers, and data infrastructure experts.Key Responsibilities:Data Preparation and Structuring: You will design and implement solutions for integrating and structuring data in various storage formats, including Databricks, SQL, and Azure Storage.Automation and Innovation: You will develop and manage CI/CD pipelines (using Azure DevOps) to ensure that changes are rolled out in an automated and smooth manner.Technical Consulting and Quality Assurance: As a technical consultant, you will contribute to enhancing data quality and security across the organization.Collaboration and Knowledge Sharing: You will work closely with colleagues in the platform team and actively share your knowledge and best practices regarding data engineering and DevOps.

Join Devoteam as an Azure Data Engineer and play a pivotal role in transforming data into actionable insights. In this dynamic position, you will leverage Azure cloud technologies to design and implement robust data solutions that meet the evolving needs of our clients.We are looking for innovative thinkers who are passionate about data and eager to work in a collaborative environment. As part of our team, you will be at the forefront of data engineering, focusing on developing data pipelines, data warehousing solutions, and analytics applications.

Join our dynamic team at Devoteam as a Lead Cloud Data Engineer Consultant. In this pivotal role, you will leverage your expertise in cloud technologies to help organizations harness the power of data. You'll work closely with clients to design and implement robust data solutions, ensuring high performance and scalability.As a key player in our Data department, you will lead projects, mentor junior engineers, and contribute to strategic planning. Your insights will drive data-driven decision-making and innovation.