Top Data Engineer Jobs in Amsterdam

Develop and maintain the reporting framework, manage data access, transform data formats, and build scalable APIs while collaborating cross-functionally.

The Data Center Engineer will manage data center assets, maintain DCIM documentation, collaborate on deployments, and oversee global operations.

The Data Engineer Consultant will work on client projects and develop Sia AI solutions, focusing on cloud services, data pipelines, and CI/CD.

As a Data Engineer Consultant, you will develop data pipelines, manage cloud services, and automate CI/CD processes while working on client projects and Sia AI solutions.

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

Design, build, and maintain scalable raw data pipelines for Tencent's overseas games. Optimize ingestion, processing, and storage with upstream engineering; support analysts, data scientists, and ML engineers downstream. Improve pipeline performance, quality, and maintainability using batch and streaming technologies, data modeling, programming, and SQL.

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.

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.

Build the companys first data stack and data products (internal analytics and customer-facing). Work across data engineering, devops, and software tasks; ship early features, improve developer experience, document proposals, and iterate based on feedback.

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.

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.

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.

The Data Engineer Operations will design automated tools and dashboards to optimize trading operations, manage trade lifecycle processes, ensure accurate reporting, and improve workflows through collaboration and automation.

As a Junior Data Engineer, you will build data processing pipelines, support decision-making, visualize finance indicators, and monitor improvements.

As a Lead Cloud Data Engineer, you'll collaborate with software engineers to develop cloud solutions, suggesting improvements and implementing project requirements on Google Cloud.

The Data Engineer will build data pipelines for materials science, ensuring data quality and collaborating with ML researchers while managing large datasets.

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

The Data Engineer will design, build, and maintain data infrastructure, creating data models, developing ETL processes, and optimizing data pipelines for analysis and reporting.

As a Software Engineer for Speechify, you'll focus on data collection for AI model training, manage cloud infrastructure, develop data ingestion pipelines, and collaborate on dataset roadmaps.

The role involves building a scalable data platform for near real-time performance data for eBay's advertising products and collaborating with diverse teams to redefine the advertising space.

Build and maintain a near-real-time data platform that provides advertising performance insights for sellers. Design scalable, highly available systems, deploy continuously, collaborate with designers, product, frontend/backend and ML teams, and contribute to internal open-source projects while mentoring peers and driving technical decisions.

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.

As a Senior Data Engineer, you'll build and manage data pipelines, ensure data quality, and collaborate across teams, contributing to the Data Platform's growth.

Work with Product and Insurance teams to define KPIs, analyze A/B tests, build and maintain real-time dashboards, contribute to dbt-based data pipelines, and provide data-driven recommendations to influence product roadmap and outcomes.