Medior Data Engineer

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 foundat…

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.

Bij Speakap creëren we een mobile-first Employee Experience Platform dat frontline en deskless medewerkers ondersteunt in verbondenheid, informatievoorziening en betrokkenheid — allemaal via hun mobiele telefoon. Met meer dan 600 tevreden klanten en meer dan 400.000 gebruikers in sectoren zoals retail, horeca en zorg, transformeren we de manier waarop organisaties communiceren zonder afhankelijk te zijn van e-mail of desktopcomputers.Om onze groei te ondersteunen, zoeken we gedreven professionals die financiële uitdagingen niet uit de weg gaan — maar deze juist omarmen. Als Medior Finance Medewerker ben je verantwoordelijk voor essentiële financiële processen en fungeer je als een vertrouwde sparringpartner voor HR, commerciële afdelingen en het management.Dit is geen traditionele backoffice-rol. Jouw inzichten hebben directe impact op de strategische beslissingen die het bedrijf vooruithelpen. Je combineert operationele precisie met de dynamiek van een groeiende organisatie, vertaalt cijfers naar duidelijke verhalen en daagt de bestaande processen uit wanneer je verbeteringen ziet. Ben jij de persoon die graag dieper in de materie duikt en wil bijdragen aan een organisatie die het dagelijks werk van honderdduizenden mensen eenvoudiger maakt? Dan zijn wij op zoek naar jou.

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.

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

Join our team as a Medior Operations Engineer and play a vital role in ensuring the stability, security, and smooth operation of the Soverin platform. In this position, you will provide essential day-to-day operational support, monitor system performance, resolve incidents, and collaborate closely with our support team to keep our customers satisfied and uphold our SLA commitments.You will manage operational issues, monitor queues, respond to abuse notifications, and help maintain the reliability of our email infrastructure. Additionally, you will contribute to operational enhancements, engage in platform projects, and aid in maintaining the documentation and processes required for our ISO-certified environment. Become a key member of our small team of email and privacy experts working on one of Europe’s leading privacy-first email platforms.

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.

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

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.

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!

Are you passionate about crafting intelligent and scalable solutions? Do you thrive in tackling complex systems alongside enthusiastic colleagues? As a Medior Backend .NET Engineer at Funda, you will develop software that empowers millions to navigate the housing market daily. From rapid search results to sophisticated data integration, your contributions will significantly enhance how the Netherlands discovers homes.Your Role at a GlanceIn this position, you will produce high-quality code for a platform that attracts tens of millions of visitors each month. You will utilize cutting-edge technologies such as .NET 8, Kubernetes, Azure, and event-driven architecture, deploying your code to production daily via Azure DevOps.Your responsibilities include full ownership of the services and features you develop, collaborating closely with colleagues to drive continuous improvements. This unique role offers the scale of Funda, the excellence of our codebase, and the autonomy to make a tangible impact.Key ResponsibilitiesEnhance and develop features that directly improve user experiences, such as accelerating search results or optimizing data streams for our calculation tools.Contribute to the evolution of our microservices architecture, ensuring systems remain stable, scalable, and easy to maintain.Diagnose and resolve issues, from identifying performance bottlenecks to implementing intelligent caching strategies.Collaborate with Funda's engineers, product designers, and product managers to transform innovative ideas into robust solutions.Conduct code reviews, share insights with team members, and learn from seasoned engineers.Take ownership of your code and ensure its quality even post-release.For additional insights, check out our Engineering blog: The benefits of having a lighthouse architectureYour TeamAt Funda, multiple scrum teams focus on various aspects of our platform, ranging from enhancing the search experience to revamping the system used by real estate agents for property management.

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

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

Join our dynamic team as a Data Analyst / Analytics Engineer, where you'll play a pivotal role in transforming raw data into actionable insights that drive our strategic objectives for European expansion.At Insify, we are revolutionizing the insurance landscape for entrepreneurs. As fellow entrepreneurs, we understand the challenges of building and managing a business. Our goal is clear yet ambitious: to simplify business insurance tenfold for entrepreneurs and SMEs across Europe. We eliminate paperwork, confusing jargon, and outdated processes, delivering a seamless experience through modern technology, smart automation, and a customer-centric approach.As a rapidly growing European scale-up, backed by €43M from leading investors, Insify aims to establish itself as the foremost digital insurance provider for entrepreneurs and SMEs on a global scale. We started our journey in the Netherlands and have expanded into France and Germany, with plans to accelerate our growth. At our core, we are a technology-driven company, developing our own insurtech platform that leverages data, automation, and AI to transform the insurance process—from underwriting to claims. With a fully digital customer portal and an emphasis on user experience, we are committed to making insurance straightforward, transparent, and equitable. Our leadership consists of experienced entrepreneurs who bring a sense of urgency and ownership to our mission.Our Culture: A Brief InsightWe are not just building a company; we are creating a category leader. This endeavor demands ambition, accountability, and speed. Our culture is characterized by three fundamental principles:High Ownership: Team members take full responsibility for their tasks. If something is amiss, we proactively address it.High Pace: We embrace flexibility, making quick decisions and valuing progress and learning over perfection.High Standards: We prioritize outcomes over appearances, focusing on results, quality, and accountability.Collaboration is at the heart of our operations. We encourage in-person interactions, challenge each other's ideas, and welcome insights from all team members, regardless of their role or experience. The best ideas often emerge from unexpected sources, and we cultivate an environment where they can be shared.At Insify, we operate as a close-knit team. You will have the opportunity to connect with colleagues easily, fostering an engaging atmosphere where questions and ideas can be exchanged freely. We seek intelligent, ambitious individuals who think like owners, value intellectual honesty, and are driven by impact rather than comfort. If you thrive in an environment filled with challenges and opportunities to create meaningful change, you will excel here. However, if you prefer predictability and narrowly defined roles, this may not be the right fit for you.