Top Data Engineer Jobs in the Netherlands

The Marketing Data Engineer develops data infrastructure for marketing analytics, ETL pipelines, data modeling, and reporting automation to enhance marketing performance and consumer engagement.

As a Data Analyst, you'll analyze user behavior and product performance, create reports and dashboards, and collaborate with teams to drive data-informed decisions.

The Data Engineer design and develop cloud-native data infrastructure for AI/ML models, ensuring reliable data flows and system scalability while collaborating with various engineers to optimize data pipelines.

The Junior Data Engineer will analyze data, design experiments, build a marketing data stack, and collaborate with teams to improve data access and insights.

As a Data Engineer, you'll develop data infrastructures for product platforms, create data pipelines, and ensure reliable data flow. You'll collaborate with teams to improve data reliability and adapt to emerging technologies.

As a Software Engineer in Data Infrastructure, you will collect audio data, enhance the ingestion pipeline, and collaborate with scientists to improve dataset quality and efficiency.

Design and develop high-performance backend services using FastAPI and Azure data services, focusing on data processing and observability in enterprise applications.

The Senior Data Engineer will oversee data workloads on AWS and Azure, improve governance, manage architecture decisions, and collaborate across departments to deliver complex data products.

Lead the design and delivery of data pipelines and warehouse layers. Mentor team members, ensure data quality, and improve engineering practices. Collaborate with cross-functional teams to enhance healthcare data utilization.

As a Mechanical Engineer in R&D for data centers, you will design and develop hardware solutions that support AI systems in a collaborative environment.

As a Senior Data Engineer, you will design and maintain scalable data pipelines in Azure Databricks, develop secure APIs, and optimize data workflows.

The Software Engineer will manage data collection for AI model training, enhance ingestion pipelines, and collaborate on dataset roadmaps.

The role involves creating and automating infrastructure features for data platforms using Python, with a focus on distributed systems and collaboration within a global team.

The role involves automating OpenSearch operations by developing features in Python, collaborating with an international team, and providing expertise on data platforms.

As a Software Engineer on the data platform team, you'll automate data platform operations, write Python code, and collaborate on solutions within a distributed team.

Join Zencore as a Senior Data Engineer, leveraging Google Cloud expertise and technology strategies to assist clients with data and application modernization.

Design, train, and evaluate NLP and LLM-based solutions (RAG, chatbots, extraction, summarization). Curate and preprocess data, build end-to-end model pipelines, fine-tune and evaluate models, and collaborate with stakeholders to deliver clinically impactful generative AI solutions.

Develop core components of an AI-enabled clinical software platform for Azurion, driving technical decisions, mentoring engineers, and ensuring regulatory compliance.

The Data Engineer will manage data flow to the Cloud, collaborate on ML model deployment, enhance code reliability and maintain data infrastructure.

Build and maintain a high-load, near real-time data platform: design async Python APIs, ETL flows from the data warehouse to PostgreSQL, implement caching, improve reliability and performance, own features end-to-end, and collaborate with product teams.

Design and implement core YTsaurus functionality in C++, build and evolve platform-level capabilities, improve APIs and UX for internal users, own production quality including incident response/on-call, and collaborate with stakeholders to prioritize and deliver scalable data platform features.

As a Senior Software Engineer, you'll develop and maintain data integrations for ClickHouse, focusing on JVM-based frameworks, enhancing developer experience and performance in data engineering.

The Staff/Lead Fullstack Engineer will enhance the Mimica Webapp by architecting scalable UI components, managing large datasets, and optimizing performance while collaborating with cross-functional teams.

The Senior Data Engineer will lead the design and evolution of scalable data architectures, mentor team members, build data pipelines, and integrate Generative AI into workflows.

The Senior Data Engineer Consultant will manage client engagements, mentor junior consultants, and contribute to thought leadership while driving business development activities.