Senior Manager of Data Engineering

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 dat…

Are you an accomplished engineering leader with expertise in data platforms and a drive for innovation? At Budget Thuis, we are embarking on an exciting data modernization journey aimed at unlocking real-time insights and AI capabilities while enhancing data governance to ensure safe scaling of our data utilization. We are seeking an individual who not only architects solutions but also builds and nurtures a talented team, spearheads transformation, and breathes life into data.Your Role:As the Senior Engineering Manager for the Data Platform, you will be the cornerstone of our product and analytics initiatives. Your responsibilities will include designing and developing our data platform, recruiting and mentoring the data engineering team, and collaborating closely with the Head of Engineering, Engineering Managers, and the Head of BI to ensure data accessibility, reliability, and readiness for use.This hands-on leadership position requires you to build alongside your initial hires, make critical architectural decisions, establish infrastructure, and set the engineering standards that will guide team growth. As the platform and team mature, the role will transition into comprehensive leadership and management of cross-functional stakeholders.If you thrive in a greenfield setting, excel in making pragmatic decisions within real-world constraints, and desire to create impactful solutions, this opportunity is for you.

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

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.

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.

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.

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.

As a Senior Data Specialist at Rituals, you will be instrumental in ensuring the integrity and reliability of our product master data, essential for making impactful business decisions. Your role involves supporting the innovation of creative products and ideas by maintaining high-quality data in our Rituals Master Database (STEP) and enhancing data processes, governance, and reporting.In addition to data maintenance, you will serve as a senior data owner, adept problem-solver, and reliable business partner. Your self-starting attitude enables you to take charge of complex issues, swiftly pinpoint dependencies, and implement solutions with minimal guidance. You possess a keen eye for data quality and can translate analytical insights into actionable improvements for the business. Proficiency in Excel is crucial, along with the ability to navigate incomplete or conflicting data, facilitating clear decision-making and proactive communication with stakeholders.In this full-time position (40 hours per week), your responsibilities will include:Ensuring the accuracy and timeliness of product master data in STEP throughout all stages of the innovation process.Owning intricate data topics and projects, such as pricing, packaging, and data governance.Enhancing product data quality by identifying structural issues, analyzing root causes, and implementing effective solutions.Conducting advanced analyses and translating findings into clear actions and recommendations.Being a reliable expert on product master data for stakeholders across the organization.Fostering cross-functional collaboration with Innovation, IT, and business teams to enhance data quality and reporting.Contributing to the development of scalable data governance and validation processes.Acting as a data ambassador to promote the importance of high-quality, dependable data and elevate data ownership maturity.Supporting broader team objectives while independently managing your own projects and stakeholder expectations.JOIN OUR TEAMYou will be part of the Global Innovation team, focusing on product innovations, category management, and product development. Within the NPD Data Team, we ensure consistent, accurate, and trusted product master data across the organization.As a Senior Data Specialist, you will play a pivotal role in transitioning the team's approach from reactive data entry to proactive data ownership, governance, and continuous improvement. Your contribution will not only enhance data management but also refine how the business utilizes data.Please note: This role requires a strong onsite presence at our Amsterdam headquarters, where we work from the office 80% of the time.

Are you a seasoned Data Analyst with a strong technical background and a passion for driving impactful decisions? Join us in enhancing the analytical framework that empowers our entire organization to make informed commercial and product choices.At Vio, we are dedicated to securing the best accommodation deals for travelers around the globe. Central to this mission is our Offers Management Platform, a sophisticated system that determines which accommodation offers to request, store, and distribute across various channels and markets.We are seeking a Senior Data Analyst to take charge of the analytics for this platform, collaborating closely with product managers and engineers to drive its evolution and optimization. This position focuses on understanding the system comprehensively—from end to end—establishing robust experimentation and measurement frameworks, and utilizing causal inference to steer our strategic decisions.About the RoleYou will be part of a cross-functional team overseeing the Offers Management Platform, which lies at the core of our marketplace. This system dictates which offers are requested from our suppliers, stored in our cache, and presented to end users or B2B partners, significantly influencing revenue and partner performance across the organization.Your objective will be to render this system measurable and to enhance its performance.You will engage closely with backend engineers and product managers on system design choices, establish metrics for success, and create analytical frameworks that allow us to analyze cause and effect in a highly interconnected environment.Your ResponsibilitiesLead Analytics for the Offers Management PlatformCultivate an in-depth understanding of the processes through which offers are requested, stored, and distributed.Translate intricate system behaviors into clear metrics and models.Serve as the analytical authority for inquiries regarding the performance of the offers system.Experimentation & Causal InferenceDesign and implement experimentation strategies for system-level alterations where classic A/B testing is not applicable.Employ causal inference techniques (e.g., difference-in-differences, propensity score matching) to assess the impact of changes.

As a Senior Data Management Specialist at AFM, you will play a pivotal role in conceptualizing, developing, and implementing data management functions within the organization. Your expertise will help establish the necessary conditions for data-driven decision-making, which is increasingly vital for AFM.You will model data and formulate definitions while considering both the regulatory agency and the data provider, such as banks. Your responsibilities will also include managing data architecture to ensure that data is accurately represented in the internal Managed Data Platform (MDP). Additionally, you will focus on data quality by performing necessary checks.Your work will encompass use cases (projects) for both Supervision and Innovation. In Supervision, you will develop data management functions for projects initiated by regulators. In Innovation, you will create data management policies and functions for AFM. You will also engage in data governance, including handling authorization requests from colleagues.To ensure that your colleagues effectively utilize the data management functions, you will conduct training sessions. In summary, you will serve as a vital link between Supervision/Operations and the Managed Data Platform.

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

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.

Why Join Nebius?At Nebius, we are pioneering the next generation of cloud computing to meet the demands of the global AI economy. We provide our clients with innovative tools and resources that empower them to tackle real-world challenges and revolutionize industries, all while minimizing infrastructure costs and the need for extensive in-house AI/ML teams. Our team operates at the forefront of AI cloud infrastructure, collaborating with some of the industry's most talented leaders and engineers.Work EnvironmentWith our headquarters in Amsterdam and a listing on Nasdaq, Nebius boasts a global presence with research and development hubs across Europe, North America, and Israel. Our workforce of over 1,400 includes more than 400 highly skilled engineers with profound expertise in both hardware and software engineering, complemented by an in-house AI research and development team.The RoleWe are seeking a Senior Data Analyst to serve as the inaugural analytics hire in our Capacity Management team, establishing a data-driven foundation for infrastructure planning and operations.Currently, many critical decisions are based on expert judgment. Your goal will be to transform this process by introducing clear metrics, dependable observability, and predictive models that will inform decisions across engineering, product, and business domains.You will collaborate closely with the Head of Capacity Management and operate with significant autonomy within the capacity management domain.What You Will DoEnhance Capacity ObservabilityDefine and take ownership of crucial metrics related to availability, utilization, and capacity health.Create dashboards that accurately reflect the system's true state rather than a simplified view.Transition from manual and fragmented reporting to reliable, scalable solutions that provide insights in real-time.

About Creative FabricaCreative Fabrica is an innovative subscription platform that empowers millions of creators, designers, and crafters globally. We believe creativity should be accessible to all, breaking down barriers such as costly software, technical know-how, and time-consuming production processes.Our Studio AI suite boasts over 26 specialized AI tools that streamline technical tasks, enabling you to generate bespoke images, eliminate backgrounds, design fonts, and create publication-ready materials in mere minutes.With a content library featuring over 15 million commercially licensed fonts, graphics, SVGs, and templates, we provide high-quality resources without the hassle and expense of developing assets from scratch.About the Role:As a rapidly expanding company, data is integral to our operations—from deciphering how customers find us to determining which new features to implement. We seek a Data Analyst who goes beyond merely constructing dashboards and probes deeper: Why are users engaging in certain behaviors, and what actions should we take in response?You will bridge the gap between engineering and business strategy—trusted by leadership for delivering accurate data and clear narratives, while also ensuring the team has smooth operational pipelines. This is a unique opportunity for an analyst eager to contribute to building a thriving data ecosystem. If this aligns with your aspirations, we’d love to connect!What You Will Do:Enhance business performance through proactive data analysis, insightful reporting, and strategic recommendations that resonate with leadership.Manage and refine our data pipelines, guaranteeing data is current, precise, and reliable when it counts.Develop and sustain dbt models that fulfill ongoing business requirements across Growth, Finance, and Product teams.Act as the storyteller in the room, translating complex findings into clear narratives that drive decision-making.Monitor pipeline health, proactively addressing issues, and advocating for continuous data quality improvements.

As a Medior Managed Services Data Engineer, you will transcend the role of a mere administrator. Your expertise will ensure that our clients' (Azure) Databricks platforms consistently perform at the highest level. You will translate intricate data flows into robust architectures and be the driving force behind the reliability and quality of the data. Whether designing a scalable medallion Lakehouse or implementing advanced monitoring, your work will empower our clients to rely on their platforms 24/7 without hesitation.Within our Managed Services team, you will bridge the gap between innovation and continuity. Not only will you design and develop intelligent pipelines using SQL and Python, but you will also proactively advise clients on enhancements in AI, security, and governance. Collaborating with your colleagues, you will conduct root cause analyses and optimize the entire workflow orchestration. Here, you will have the opportunity to specialize in modern techniques such as event-driven ingestion and reliability engineering, while making a direct impact on the performance of leading organizations.Who Are We?At Hot ITem Conclusion Managed Services, we prioritize the continuity of information provision. With over 25 years of experience in managing complex Data & AI ecosystems, we ensure reliable and timely information. Here, you can fully focus on innovative cloud environments and improving our core business: relieving clients of their information provision concerns.What Can You Expect? A dynamic work environment where innovation, reliability, and mutual support take center stage. We explore and apply new technologies to continuously enhance our services.

About ClickHouseClickHouse is a leading innovator in the cloud computing space, proudly featured on the 2025 Forbes Cloud 100 list. With over 3,000 satisfied customers and an impressive annual recurring revenue growth exceeding 250% year-on-year, we excel in real-time analytics, data warehousing, observability, and AI-driven workloads.Our remarkable growth trajectory was recently affirmed by a $400 million Series D funding round. In the last quarter alone, renowned companies such as Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted or expanded their use of our platform, joining industry giants like Meta, Cursor, Sony, and Tesla.Join us in our mission to redefine how organizations leverage data!The Connectors team is crucial in linking ClickHouse with the broader data ecosystem. We develop and maintain the essential connectors that make ClickHouse accessible to millions of developers and data practitioners globally. Our work ranges from low-level database integrations to high-level data visualization plugins, ensuring smooth integration with tools our users are already familiar with.Our responsibilities include overseeing the official data connectors (Kafka, dbt, Spark, Flink, Beam, Fivetran) and integrations with leading visualization platforms such as Grafana, Tableau, Power BI, and Metabase.Your RoleAs a Senior Software Engineer focused on JVM-based frameworks, you will be a key contributor, taking ownership of and maintaining vital aspects of ClickHouse's data engineering ecosystem. This position lies at the intersection of high-performance database engineering and developer experience, where you will create tools that empower Data Engineers to exploit ClickHouse's remarkable speed and scalability.Your responsibilities will encompass the entire lifecycle of data framework integrations—from the core database driver that handles billions of records per second to SDKs and connectors that integrate ClickHouse seamlessly into JVM-based applications. This role goes beyond coding; you will be laying the groundwork that thousands of Data Engineers depend on for their most critical data workloads.Your contributions will have a direct impact on how companies manage massive datasets, facilitating real-time analytics platforms that ingest millions of events per second and observability systems that monitor global infrastructure. You will work closely with the open-source community, internal teams, and enterprise users to ensure our JVM integrations set the benchmark for performance, reliability, and user satisfaction.

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.

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

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.