Staff Data Engineer - Data PlatformAmsterdam, Netherlands Up to 95k annually This is an opportunity to play a key role in shaping a modern data platform that powers analytics and machine learning at scale. You'll work on complex technical challenges, influence platform strategy, and help build the foundations that enable data-driven decision making across the business.The CompanyThey are a technology-focused organisation where data plays a central role in driving innovation and business performance. The company is investing heavily in its cloud-based data and machine learning ecosystem, creating an environment where engineers can have a meaningful impact. You will join a collaborative team that values technical excellence, ownership, and continuous improvement.The RoleBuild, develop, and enhance a self-service data platform supporting analytics and machine learning workloads.Design and maintain scalable batch and real-time data pipelines.Improve platform reliability, performance, and operational efficiency.Develop cloud-native data solutions and infrastructure at scale.Implement data quality, governance, monitoring, and schema management best practices.Partner with Data Engineers, Software Engineers, and Data Scientists to enable data products and services.Support data collection, orchestration, processing, storage, and distribution capabilities across the platform.Contribute to infrastructure automation and platform engineering initiatives.Your Skills & ExperienceStrong commercial experience in Data Engineering and distributed data systems.Expertise with Databricks, including Lakehouse architecture, Unity Catalog, MLflow, Mosaic AI, and model serving capabilities.Experience building cloud-native data-intensive applications within AWS environments.Strong Python, PySpark, Spark, and SQL skills.Experience working with batch and streaming data architectures.Knowledge of Kafka, Airflow, Databricks Workflows, or similar orchestration technologies.Experience with data governance, data quality frameworks, and platform monitoring.Understanding of Docker, Kubernetes, Terraform, or comparable infrastructure technologies.Familiarity with Delta Lake, Parquet, and modern data storage formats.Excellent stakeholder engagement and communication skills.What They OfferCompetitive salary and benefits package.The opportunity to work with modern data and machine learning technologies.High levels of ownership and autonomy within a collaborative engineering environment.Exposure to large-scale data, analytics, and AI initiatives.Ongoing professional development and clear opportunities for career progression.How to ApplyIf you're an experienced Staff Data Engineer who enjoys building scalable data platforms and enabling analytics and machine learning at scale, apply today to learn more about this opportunity.

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Staff Data Platform Engineer