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Experience Level
Senior
Qualifications
Your Impact:
Enhance the safety of Databricks for our clients by identifying and addressing key vulnerabilities in our infrastructure and services.
Attract top-tier talent across the industry.
Act as an ambassador for the security engineering discipline within the organization, advocating for a more data-driven approach.
Represent Databricks at academic and industry conferences and events.
What We Are Looking For:
Over 9 years of experience in Data Security or related fields, with expertise in two or more of the following: Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response. Experience in building systems at large-scale internet companies is highly desirable.
About the job
P-1125
Overview
At Databricks, we are passionate about empowering data teams to tackle some of the world's most challenging issues, from security threat detection to the development of cancer treatments. We achieve this by constructing and managing the premier data and AI infrastructure platform, allowing our clients to concentrate on the high-value challenges central to their missions.
Our engineering teams design and develop highly technical products that address significant real-world needs. We continuously push the limits of data and AI technology while ensuring the resilience, security, and scalability necessary for our customers' success on our platform.
As customers entrust Databricks with their most sensitive data, our Trust & Safety team is committed to developing the most reliable data analytics and machine learning platform globally. Security Engineering plays a vital role within Trust & Safety, safeguarding customer data against malicious actors. We invite senior leaders like you to shape the vision and strategy for this critical area.
About Databricks
Databricks is a leading data and AI infrastructure platform that empowers organizations to leverage their data to solve complex problems and drive innovation. Our mission is to enable data teams around the globe to deliver insights and value by providing a robust, scalable, and secure environment for data analytics and machine learning.
P-1125 Overview At Databricks, we are passionate about empowering data teams to tackle some of the world's most challenging issues, from security threat detection to the development of cancer treatments. We achieve this by constructing and managing the premier data and AI infrastructure platform, allowing our clients to concentrate on the high-value challeng…
As a Principal Data Engineer at ThoughtWorks, you will play a pivotal role in steering data engineering projects, addressing intricate business challenges, and unlocking transformative insights. Your extensive understanding of our clients' business ecosystems enables you to collaborate effectively with executives, ensuring that technology strategies align seamlessly with business objectives. By interpreting emerging trends and leveraging ThoughtWorks' innovative explorations, you will enhance the influence of data engineering within client organizations.Your wealth of experience in crafting modern data architectures and robust infrastructures will be crucial for managing data applications effectively.Collaboration is key; as a data engineer, you will skillfully communicate your findings to both technical and non-technical stakeholders. Staying current with industry advancements, you will ensure data quality and security while mentoring junior team members.At ThoughtWorks, your technical expertise will be instrumental in solving complex business problems, significantly contributing to our clients' success.Key ResponsibilitiesWork alongside sales and pre-sales teams to clarify requirements, design feasible solutions, and drive engagements with technical stakeholders.Establish a clear vision and direction for data practices, aligning them with the broader business strategy.Engage with executive-level stakeholders to comprehend their strategic objectives and identify opportunities to utilize data effectively.Consult on intricate data platform programs, addressing cross-cutting architectural concerns and providing client-facing technical leadership as a data subject matter expert.Create, design, and develop complex data processing pipelines that tackle clients' most pressing challenges.Collaborate with data scientists to ensure the scalable implementation and production of their models.Write clean, iterative code guided by Test-Driven Development (TDD) principles and employ continuous delivery practices to deploy, support, and operate data pipelines.Develop and implement strategies for data governance, security, and privacy to meet business and compliance needs.Represent ThoughtWorks in various online and offline forums, including industry events and conferences.QualificationsTechnical Skills
Role overview Storio Group is seeking a Principal Engineer II to join the Personalise team in Amsterdam. This team enhances photo editing tools that let customers turn memories into physical products, supporting a variety of devices and platforms. What you will do Design and build high-performance photo editors that play a key role in the customer experience. Collaborate with engineering, product, and design colleagues to develop creative ideas and shape the full customer journey. Support the development of a modern architecture that enables rapid experimentation and AI-powered features at a global scale. Serve as a technical leader, helping to grow the engineering organization and evolve the platform for new products and personalized solutions. The team Based in Amsterdam, the Personalise team works across disciplines and invests in new technologies to deliver innovative, personalized experiences for customers worldwide.
Full-time|$100/yr - $100/yr|On-site|Amsterdam, North Holland, Netherlands; England, United Kingdom; France; Germany; Norway (Oslo)
Cognite is a pioneering force in the realm of industrial digitalization, dedicated to crafting innovative AI and data solutions that address some of the world's most challenging and high-impact problems. With a rich industrial heritage and a robust suite of AI capabilities, including low-code AI agents, we propel digital transformation efforts to enhance operational efficiency and effectiveness.Our ambitious goal is to unlock $100 billion in customer value by 2035, fundamentally transforming the way industries operate worldwide.
Join HubSpot as a Principal Solutions Engineer and leverage your technical expertise to provide innovative solutions for our clients. As a Dutch-speaking professional, you will play a vital role in bridging the gap between our product offerings and the unique needs of our customers. Your ability to communicate effectively and translate complex technical concepts into digestible information will be key to your success in this role.You will collaborate closely with cross-functional teams to deliver exceptional service and enhance customer satisfaction. This position offers the flexibility to work remotely while being part of a dynamic and supportive team.
Full-time|On-site|Amsterdam, Noord-Holland, Nederland
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.
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.
Full-time|On-site|Amsterdam, North Holland, Netherlands
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
At JetBrains, we are passionate about code. Since our inception in 2000, we have dedicated ourselves to developing the strongest and most effective developer tools available. Our innovative solutions automate routine checks and corrections, accelerating production and empowering developers to innovate, explore, and create.About the InitiativeJetBrains is transforming from standalone developer tools to a unified, AI-native platform for software development.AI is evolving from a mere assistant within the editor to an essential participant in software planning, building, reviewing, and operating across teams and organizations. This evolution presents new challenges that cannot be addressed by individual tools alone, including governance, security, cost management, observability, and cooperation between humans and autonomous agents.Our mission is to establish a platform that facilitates the adoption of AI in software development in a structured, scalable, and economically efficient manner, without confining companies to closed ecosystems.We are constructing a foundation that unifies developer workflows, team collaboration, and organizational oversight into a coherent system.This platform will act as the execution and governance layer for AI-driven development, tightly integrated with developer tools while designed for cross-team, product, and environmental compatibility.This initiative represents a long-term strategic investment for JetBrains and is a cornerstone of our vision for the future of software development. The RoleWe are seeking a Principal Engineer (JetBrains Cloud Platform, Developer Experience) to spearhead significant enhancements to the development experience across the JetBrains Cloud Platform (JCP).This position is pivotal in enhancing the productivity of JCP engineers through improvements to build systems, CI/CD pipelines, local development workflows, tooling infrastructure, and AI pipelines. You will oversee the developer experience from the local development, build, and testing stages to the transition of code through CI to production. Given the rapid growth of this platform, numerous workflows and processes are still in development. You will define what an exceptional development experience entails and guide the organization toward achieving it. As part of our team, you will:Develop and implement strategies for enhancing the developer experience across the entire JCP platform.Optimize build systems (such as Gradle and Nx) for improved speed, caching, and reliable reproducibility at scale.Establish AI development pipelines to facilitate innovation.
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.
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.
Full-time|On-site|Amsterdam, Noord-Holland, Nederland
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.
Full-time|On-site|Amsterdam, Noord-Holland, Nederland
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.
P-1125 Overview At Databricks, we are passionate about empowering data teams to tackle some of the world's most challenging issues, from security threat detection to the development of cancer treatments. We achieve this by constructing and managing the premier data and AI infrastructure platform, allowing our clients to concentrate on the high-value challeng…
As a Principal Data Engineer at ThoughtWorks, you will play a pivotal role in steering data engineering projects, addressing intricate business challenges, and unlocking transformative insights. Your extensive understanding of our clients' business ecosystems enables you to collaborate effectively with executives, ensuring that technology strategies align seamlessly with business objectives. By interpreting emerging trends and leveraging ThoughtWorks' innovative explorations, you will enhance the influence of data engineering within client organizations.Your wealth of experience in crafting modern data architectures and robust infrastructures will be crucial for managing data applications effectively.Collaboration is key; as a data engineer, you will skillfully communicate your findings to both technical and non-technical stakeholders. Staying current with industry advancements, you will ensure data quality and security while mentoring junior team members.At ThoughtWorks, your technical expertise will be instrumental in solving complex business problems, significantly contributing to our clients' success.Key ResponsibilitiesWork alongside sales and pre-sales teams to clarify requirements, design feasible solutions, and drive engagements with technical stakeholders.Establish a clear vision and direction for data practices, aligning them with the broader business strategy.Engage with executive-level stakeholders to comprehend their strategic objectives and identify opportunities to utilize data effectively.Consult on intricate data platform programs, addressing cross-cutting architectural concerns and providing client-facing technical leadership as a data subject matter expert.Create, design, and develop complex data processing pipelines that tackle clients' most pressing challenges.Collaborate with data scientists to ensure the scalable implementation and production of their models.Write clean, iterative code guided by Test-Driven Development (TDD) principles and employ continuous delivery practices to deploy, support, and operate data pipelines.Develop and implement strategies for data governance, security, and privacy to meet business and compliance needs.Represent ThoughtWorks in various online and offline forums, including industry events and conferences.QualificationsTechnical Skills
Role overview Storio Group is seeking a Principal Engineer II to join the Personalise team in Amsterdam. This team enhances photo editing tools that let customers turn memories into physical products, supporting a variety of devices and platforms. What you will do Design and build high-performance photo editors that play a key role in the customer experience. Collaborate with engineering, product, and design colleagues to develop creative ideas and shape the full customer journey. Support the development of a modern architecture that enables rapid experimentation and AI-powered features at a global scale. Serve as a technical leader, helping to grow the engineering organization and evolve the platform for new products and personalized solutions. The team Based in Amsterdam, the Personalise team works across disciplines and invests in new technologies to deliver innovative, personalized experiences for customers worldwide.
Full-time|$100/yr - $100/yr|On-site|Amsterdam, North Holland, Netherlands; England, United Kingdom; France; Germany; Norway (Oslo)
Cognite is a pioneering force in the realm of industrial digitalization, dedicated to crafting innovative AI and data solutions that address some of the world's most challenging and high-impact problems. With a rich industrial heritage and a robust suite of AI capabilities, including low-code AI agents, we propel digital transformation efforts to enhance operational efficiency and effectiveness.Our ambitious goal is to unlock $100 billion in customer value by 2035, fundamentally transforming the way industries operate worldwide.
Join HubSpot as a Principal Solutions Engineer and leverage your technical expertise to provide innovative solutions for our clients. As a Dutch-speaking professional, you will play a vital role in bridging the gap between our product offerings and the unique needs of our customers. Your ability to communicate effectively and translate complex technical concepts into digestible information will be key to your success in this role.You will collaborate closely with cross-functional teams to deliver exceptional service and enhance customer satisfaction. This position offers the flexibility to work remotely while being part of a dynamic and supportive team.
Full-time|On-site|Amsterdam, Noord-Holland, Nederland
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.
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.
Full-time|On-site|Amsterdam, North Holland, Netherlands
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
At JetBrains, we are passionate about code. Since our inception in 2000, we have dedicated ourselves to developing the strongest and most effective developer tools available. Our innovative solutions automate routine checks and corrections, accelerating production and empowering developers to innovate, explore, and create.About the InitiativeJetBrains is transforming from standalone developer tools to a unified, AI-native platform for software development.AI is evolving from a mere assistant within the editor to an essential participant in software planning, building, reviewing, and operating across teams and organizations. This evolution presents new challenges that cannot be addressed by individual tools alone, including governance, security, cost management, observability, and cooperation between humans and autonomous agents.Our mission is to establish a platform that facilitates the adoption of AI in software development in a structured, scalable, and economically efficient manner, without confining companies to closed ecosystems.We are constructing a foundation that unifies developer workflows, team collaboration, and organizational oversight into a coherent system.This platform will act as the execution and governance layer for AI-driven development, tightly integrated with developer tools while designed for cross-team, product, and environmental compatibility.This initiative represents a long-term strategic investment for JetBrains and is a cornerstone of our vision for the future of software development. The RoleWe are seeking a Principal Engineer (JetBrains Cloud Platform, Developer Experience) to spearhead significant enhancements to the development experience across the JetBrains Cloud Platform (JCP).This position is pivotal in enhancing the productivity of JCP engineers through improvements to build systems, CI/CD pipelines, local development workflows, tooling infrastructure, and AI pipelines. You will oversee the developer experience from the local development, build, and testing stages to the transition of code through CI to production. Given the rapid growth of this platform, numerous workflows and processes are still in development. You will define what an exceptional development experience entails and guide the organization toward achieving it. As part of our team, you will:Develop and implement strategies for enhancing the developer experience across the entire JCP platform.Optimize build systems (such as Gradle and Nx) for improved speed, caching, and reliable reproducibility at scale.Establish AI development pipelines to facilitate innovation.
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.
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.
Full-time|On-site|Amsterdam, Noord-Holland, Nederland
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.
Full-time|On-site|Amsterdam, Noord-Holland, Nederland
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.
Jan 23, 2026
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