Senior Manager of Data Engineering

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 cli…

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!

Join our team and be part of the movement shaping the future of data. Together, we advance, create impact, and make data meaningful. Are you ready to lead in the world of data engineering? Your adventure begins here at Centric! Seize these opportunities.Your RoleAs a Data Engineer, you will leverage advanced Business Intelligence tools to extract data from diverse sources and transform it into a powerful data warehouse. This foundational work enables comprehensive analyses and reporting that are crucial for strategic decision-making and operational optimization. Your mission is to connect, organize, and unlock data in ways that give Centric and our clients a competitive edge.How do you achieve this? By putting the client's goals first and delivering results. Your passion for data and your drive to help businesses succeed in the era of data-driven decision-making set you apart. You are not just any data engineer; you are a visionary, a problem solver, and a pioneer in data intelligence. At Centric, you'll have the opportunity to utilize your talents, grow, and work on inspiring projects for various leading organizations.Additional ResponsibilitiesDesigning and implementing data solutions and architecturesExtracting, transforming, and loading (ETL) data from various sourcesWorking with modern (Cloud) technologies in the data fieldOptimizing data processes for performance and scalabilityCollaborating with multidisciplinary teams to understand client needs and translate them into technical solutionsMaintaining and monitoring data flows and systemsAs a Data Engineer, you will be employed by Centric and assigned to one or more clients. The diversity of work locations, which are within an hour's commute from home, allows you to engage with many organizations. You will continue to develop within your field. Together with your Field Manager, you will create a development plan tailored to your aspirations, determining which training, courses, and assignments best suit your growth objectives. Finally, you'll become part of the professional group (EC), where knowledge sharing and peer coaching are central.What We OfferAt Centric, we provide a dynamic environment where you can apply your skills to diverse challenging projects with exciting clients. Here, you have the opportunity to continuously learn and grow in a setting at the forefront of the latest developments. Additionally, as a Data Engineer at Centric, you will receive:A gross salary of up to €6,000 per month, depending on knowledge and experience

Join our dynamic team at sia as a Data Engineer Consultant. In this role, you will leverage your expertise in data management and engineering to help our clients transform their data into actionable insights. You will work closely with cross-functional teams to design and implement data solutions that drive business value.

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.

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

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 dev2, a leading content agency, as a Senior Data Analyst. In this role, you will leverage your analytical skills to drive data-driven decisions that enhance our marketing strategies and content performance.

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

Join our dynamic team at sia as a Data Analyst, where your skills will drive impactful data-driven decisions. You will be responsible for analyzing complex datasets, generating insightful reports, and providing actionable recommendations to enhance our business strategies.

Join Winthrop Technologies, a premier data centre solutions provider headquartered in Dublin, delivering comprehensive services across Europe. As the leading dedicated data centre delivery partner, we specialize in turnkey solutions that encompass design, construction, and commissioning across civil, structural, architectural, mechanical, and electrical services.Currently, we are engaged in multiple large-scale data centre projects across seven European countries, representing over 430 MW of IT load. We are excited to welcome a Senior Mechanical Engineer to our dynamic team in Amsterdam.The Senior Mechanical Engineer will play a pivotal role in supporting the mechanical delivery aspects of our projects by collaborating closely with our multidisciplinary team.

Join Winthrop Technologies, a premier data center delivery partner committed to providing comprehensive turnkey solutions across Europe. Headquartered in Dublin, we deliver exceptional services in design, construction, and commissioning across civil, structural, architectural, mechanical, and electrical disciplines.As the leading dedicated data center partner in Europe, Winthrop is currently executing numerous projects across seven European countries, amounting to over 430 MW of IT load in progress. We are excited to expand our team in Amsterdam with the addition of two Senior Electrical Engineers.Your role will involve collaborating with a dynamic project team to oversee the electrical aspects of our turnkey data center projects. Here are some of your key responsibilities: Conduct thorough electrical design reviews to identify any discrepancies or inconsistencies in specifications and IFC drawings. Create detailed RFIs to clarify ambiguities and resolve potential design challenges. Evaluate equipment sizing (cable, containment, etc.) and provide informed recommendations. Manage the submittals process and ensure timely procurement and delivery of electrical equipment, including conducting receipt verifications. Perform electrical system walk-downs to verify compliance with specifications, drawings, and the Winthrop Integrated Management System. Participate in regular supplier and subcontractor meetings to track progress against the overall construction schedule. Coordinate electrical services with other disciplines and the project BIM team. Guide subcontracted staff on technical project aspects. Work with the construction team to ensure subcontractor adherence to site and project requirements, including health and safety regulations. Develop method statements and risk assessments for construction activities. Collaborate with the project team to optimize the installation sequence of electrical systems for efficiency and safety. Employ troubleshooting techniques to diagnose issues and implement corrective actions. Maintain document control to ensure accuracy and timeliness of logs.

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

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 Altura, a trailblazing SaaS startup that has recently secured Series A funding!At Altura, our mission is to empower organizations to successfully navigate complex bidding processes, including tenders and RfPs. Our innovative AI-driven platform streamlines bid management, transforming it into a seamless and strategic endeavor. By integrating workflows, automating tasks, and enhancing knowledge accessibility, we enable teams to operate with unparalleled efficiency and effectiveness.And this is just the beginning.We are on the path to creating the first AI-powered Agentic Virtual Bid Management Assistant, which aims to fully automate the bid lifecycle. With fresh capital, ambitious goals, and a rapidly expanding team, we are just scratching the surface of what’s possible.If you are passionate about innovation, thrive in collaborative environments, and seek to make a significant impact, we invite you to join our team.Together, let’s shape the future!Role OverviewAs a Senior AI Engineer, you will become an integral part of our high-performing team, responsible for developing the agentic layer that propels Altura's next phase of growth. This is not a role that involves simply integrating prompts into an API; instead, you will design and implement authentic agentic workflows: context-aware, production-grade systems built on our proprietary data graph, establishing a robust technical foundation.You will collaborate within a nimble team, enjoying the freedom to experiment with the latest technologies: Claude Code, Cursor, Copilot, and emerging models as they are released. If it pushes the envelope of innovation, we are all in.You will lead high-impact AI initiatives from inception to execution:From discovery and greenfield prototypingTo model evaluation and multi-model strategyTo production rollout, observability, and ongoing enhancementsIn addition to product capabilities, you will contribute to the development of foundational AI platform components, including context engineering, agent orchestration, evaluation frameworks, tone monitoring, and real-time observability.We prioritize speed, ownership, and genuine technical influence—free from corporate bureaucracy and endless committees.You will deliver AI solutions that are:Dependable in a production environmentScalable across diverse customer basesQuantifiable in terms of impactEconomical by designAdditionally, you will play a key role in defining what exceptional AI engineering entails within a forward-thinking Series A company.

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

At Databricks, we are dedicated to empowering data teams to address some of the most pressing challenges in the world, ranging from security threat detection to advancements in cancer drug development. We achieve this by creating and maintaining the world’s most sophisticated data and AI infrastructure platform, allowing our clients to concentrate on the critical challenges inherent to their missions. Our engineering teams design and implement highly technical products that meet genuine, significant needs globally. We operate one of the largest software platforms, comprising millions of virtual machines that generate terabytes of logs and process exabytes of data daily. Given our scale, we consistently encounter cloud hardware, network, and operating system faults, and our software must effectively shield our customers from these issues. The Delta DML team is responsible for the core write-path operations of Delta Lake, the open-source storage layer that underpins the Databricks Lakehouse. Our goal is to provide unparalleled performance and a seamless user experience at an enormous scale, with the majority of data written in Databricks flowing through our platform. We spearhead performance innovations such as Low Shuffle Merge and Deletion Vectors, while actively contributing to open-source initiatives to unify Delta and Iceberg formats. We are looking for an exceptionally skilled and experienced Senior Staff Software Engineer to join our backend team. In this role, you will play a crucial part in designing, developing, and maintaining robust backend systems that support Databricks workspaces. You will be tasked with building the next-generation platform for serving workspace assets, ensuring high queries per second, low latency, and reliable, high-performance systems while proactively addressing future growth challenges. Additionally, as a senior member of the team, you will provide technical leadership, mentorship, and guidance to junior engineers, contributing to the overall enhancement of team coding practices and system designs.

Join Databricks as a Senior Backend Software Engineer to work on cutting-edge technologies that transform the way data is processed and analyzed. In this pivotal role, you will collaborate with a talented team to design and implement robust backend systems that support our innovative data platform. Your work will directly contribute to enhancing our customers' experiences and driving the future of data analytics.