21 Data Engineer jobs in Netherlands available for remote work from home. Apply for positions such as Data Engineer, Data Engineer, Software Engineer, Data Infrastructure & Acquisition - The Hague, Netherlands and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Own and scale the central database and knowledge graph that serves as the memory for AI agents and product features. Design ingestion pipelines for funding rounds and market news while ensuring end-to-end data quality and entity resolution.
Build and maintain end-to-end data pipelines in the Azure stack, moving data from source systems into Data Lakes and SQL databases. Develop data warehouse layers using T-SQL and deliver insights through Power BI semantic models and reports.
The role involves managing data collection operations to support model training and maintaining the cloud infrastructure for ingestion pipelines. You will collaborate with scientists and leadership to optimize data quality and throughput while defining the AI team's dataset roadmap.
The role involves managing data collection and ingestion pipelines to support large-scale model training operations. You will collaborate with scientists and leadership to optimize infrastructure and define the dataset roadmap for AI products.
The role involves managing data collection and ingestion pipelines to support large-scale model training operations. You will collaborate with scientists and leadership to optimize infrastructure and define the dataset roadmap for AI products.
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You will design and own critical financial data integration pipelines and models to support accounting, billing, and revenue teams. Additionally, you will drive the Finance Data Strategy and mentor team members to ensure engineering excellence.
You will design and build agentic workflows and data pipelines to automate business processes across the company. Additionally, you will maintain the analytics estate and provide measurement data to demonstrate the impact of AI initiatives.
Build automated signal ingestion pipelines and develop probabilistic risk models to quantify security exposure. Translate complex model outputs into actionable insights for executive leadership and board-level reporting.
Perform day-to-day operational and DevOps tasks to maintain Wikimedia's public-facing infrastructure. Lead continuous improvement through automation and collaborate with product teams on scalable architectural designs.
Build and operate secure, multi-tenant data pipelines and APIs to power AI products for Fortune 500 companies. Ensure data reliability and security through automated testing, monitoring, and compliance with SOC 2 and ISO 27001 standards.
Build and own end-to-end Azure data platforms, pipelines, and models using SQL Server and Databricks. Transform complex data problems into maintainable solutions while challenging requirements to ensure maximum client impact.
Build reliable data streams for product analysis, compliance reporting, and operational dashboards. Design and maintain complex data pipelines and legacy codebases while bridging communication between technical and non-technical teams.
Design and develop software solutions to integrate real-time measurement data from IoT devices and grid operator APIs into the Intelligent Grid Platform. Own the full integration lifecycle, including data ingestion, transformation, and optimization of streaming and batch workloads.
Develop and maintain scalable data pipelines and manage solutions within the Microsoft Fabric Lakehouse environment. Collaborate with Data & AI teams to optimize cloud-based data solutions and ensure governance standards.
Develop and maintain robust data pipelines and analytical data models using SSIS, SSAS, and SQL Server. Build reporting solutions with Power BI and SSRS while collaborating with business teams to translate requirements into technical solutions.
Build and maintain resilient streaming and batch data pipelines to ingest, normalize, and distribute market and trading data. Develop self-serve tooling and data governance frameworks to ensure high-quality, observable, and performant data products across the organization.
You will define the architecture for the data platform and lead the design of scalable, low-latency pipelines for high-volume payment transactions. Additionally, you will mentor senior engineers and partner with cross-functional teams to ensure data reliability and business value.
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This role involves leading the design and evolution of scalable data architectures, owning end-to-end data pipelines for various workloads including AI/GenAI use cases, and defining data engineering standards. The individual will also mentor engineers, translate business problems into technical solutions, and drive the use of agent-based solutions in development.
Lead the architecture and technical roadmap for Ads Data Solutions, focusing on off-platform integrations, cleanrooms, and taxonomy automation. Mentor senior engineers and collaborate cross-functionally to deliver scalable, AI-driven data systems.
Lead a team of data scientists and analytics engineers to shape measurement and innovation strategies for content distribution. You will own end-to-end outcomes for insights and partner with cross-functional teams to drive business impact through data-informed decision-making.
You will lead and develop a multidisciplinary data engineering team while setting the technical direction for the platform that processes billions of payment events. You will also collaborate with cross-functional teams to ensure data products are reliable, scalable, and compliant with industry standards.
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