Top Data Engineer Jobs in the Netherlands

Design and build scalable ELT pipelines and curated data models on a Databricks Lakehouse. Partner with business teams to create reliable data products, implement governance and quality checks, and enable BI and self-service analytics while contributing to platform best practices.

Own end-to-end AI-automated data platform migration projects (1-4 concurrently): scope, plan, execute, and hand off. Act as primary customer contact, configure Datafold's Migration Agent, partner with engineering on execution, and help refine delivery playbooks.

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.

Design and build scalable data pipelines and models that transform identity and access data into actionable governance insights. Develop and optimize GDP integrations within One Identity, deliver data lineage and reporting, and collaborate with engineers, architects, and stakeholders to bring IGA4NHI into production.

The Principal Data Engineer will improve data pipeline architecture, optimize data flows, and support data projects for various teams in the company.

No job description provided. Title indicates a senior software/data engineering role focused on logistical network planning, combining software engineering and data engineering responsibilities.

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.

Lead client engagements as a senior data engineering consultant: represent Sia publicly, drive business development, advise senior stakeholders, and mentor junior consultants while working with cloud data stacks and advising on data and AI opportunities.

Lead client engagements to design and deliver scalable data architectures and pipelines. Implement cloud-based and distributed solutions (batch/streaming), design data models and databases, apply CI/CD and DataOps practices, mentor consultants, manage stakeholders, and drive business development and thought leadership from strategy through execution.

Own and operate all PostgreSQL databases across BSS/OSS/NOC and network elements. Build backup/DR, performance tuning, bulk-data pipelines, monitoring (Prometheus/Grafana), HA patterns, schema reviews, data governance (retention, masking), and runbooks. Implement cross-platform integration with vendor network databases and automate bulk loads, migrations, and purges.

The Data Engineer will design and maintain scalable data pipelines, optimize data infrastructure, monitor data quality, and enable analytics capabilities, ensuring alignment with business goals.

Design, build, and operate enterprise reporting and analytics platforms. Create scalable ELT/ETL pipelines, master data foundations, and lakehouse/warehouse semantic models. Deliver Power BI datasets and dashboards, implement data quality, governance, DevOps practices, and cost-management data solutions. Partner with finance and stakeholders and provide technical leadership across architecture, deployment, and run-state support.

Design, build, and maintain scalable data pipelines and storage for fraud detection. Support fraud analytics, feature engineering, model integration and serving, pipeline monitoring, and documentation. Collaborate with data, product, and engineering teams to enable detection, reporting, and operationalisation of fraud models.

Design and maintain data warehouse systems, develop ETL pipelines, manage datasets for analytics, and implement real-time data solutions.

The Staff Engineer will define architecture, lead data pipeline design, ensure platform reliability, and mentor engineers, driving data initiatives and technical standards.

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.

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.

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

The Software Engineer will manage data collection and ingestion pipelines for Speechify's AI team, ensuring high-quality datasets for model training through cloud infrastructure and collaboration with scientists.

The Software Engineer will manage data collection for model training, enhance cloud ingestion pipelines on GCP using Terraform, collaborate on data quality, and develop datasets for products.

As a Software Engineer in the Data team, you'll source audio data, manage cloud infrastructure, and collaborate to enhance model training operations.

Own and scale the ingestion pipeline and backend abstractions for high-throughput AI tracing data. Optimize ClickHouse schemas and queries, operate Langfuse Cloud and self-hosted deployments, and build infrastructure-heavy features that enable product engineers to ship data-heavy capabilities.

Build, maintain, and improve customer data integration APIs and DevOps pipelines for the Customer Data Platform. Design scalable, secure, production-ready APIs using Python and Azure services, implement CI/CD, monitoring, and operational support, collaborate with data and platform teams, and migrate legacy APIs to new standards.