Developer – Data Engineer (GCP) - 10967049

Developer – Data Engineer (GCP) Requirement ID: 10967049 Role: Developer – Data Engineer (GCP) Location: Amsterdam, Netherlands Work Arrangement: To be confirmed Experience: 6–8 years Start Date: 01 October 2026 Duration: 6 months Core Competency: Google Data Engineering Job Description We are looking for an experienced Data Engineer with strong Google Cloud Platform (GCP) expertise to design, develop, and operate scalable cloud-based data solutions. The ideal candidate will combine strong GCP cloud and platform engineering , modern data engineering , Apache Kafka , Google Bigtable , and Scala/Java development skills. The role requires someone who can contribute to technical architecture, cloud automation, data platform design, and production-grade data pipelines. Key Responsibilities Design, develop, and implement scalable data engineering solutions on GCP . Build and maintain cloud-native data platforms and architectures. Design data ingestion, transformation, and orchestration processes. Develop production-grade data pipelines and applications using Scala and/or Java . Design, implement, and maintain CI/CD pipelines using GitHub Workflows / GitHub Actions. Implement Infrastructure as Code (IaC) using Terraform. Support cloud architecture, automation, and DevOps practices. Design and manage event-driven data architectures using Apache Kafka . Perform Kafka platform design, administration, configuration, and setup. Work with Google Bigtable , including design, implementation, tuning, and operational activities. Collaborate with Data Engineers and Product Teams to understand requirements and deliver technical solutions. Participate in and conduct technical design reviews . Ensure solutions are scalable, reliable, secure, and maintainable. Contribute to continuous improvement of the organization's cloud and data engineering practices. Essential Skills Google Cloud & Platform Engineering Strong hands-on experience with Google Cloud Platform (GCP) . Strong experience with Terraform and Infrastructure as Code. Experience designing and implementing CI/CD pipelines . Hands-on experience with GitHub Workflows / GitHub Actions . Strong understanding of cloud architecture. Experience with cloud automation and DevOps practices . Data Engineering Experience designing and implementing scalable data solutions on GCP . Strong understanding of data ingestion patterns. Experience with data transformation and orchestration. Strong understanding of modern data platform architectures . Experience building production-grade data pipelines. Messaging & Streaming Strong experience with Apache Kafka . Experience with Kafka platform design, administration, and setup. Understanding of event-driven architectures . Databases Hands-on experience with Google Bigtable . Experience with Bigtable design and implementation. Experience with Bigtable performance tuning and operations. Development Strong development skills in Scala and/or Java . Experience developing production-grade applications. Experience developing production-grade data pipelines. Additional Requirements Ability to perform and contribute to technical design reviews . Strong communication and interpersonal skills. Ability to work closely with Data Engineers and Product Teams . Strong analytical and problem-solving skills. Ability to work independently while collaborating effectively within a technical team. Candidate Profile The ideal candidate is a hands-on GCP Data Engineer with a strong combination of cloud platform engineering and data engineering expertise. They should be comfortable working across the full data platform stack—from GCP infrastructure and Terraform through CI/CD, Kafka streaming, Bigtable, and application/data-pipeline development in Scala or Java . Experience with technical architecture and the ability to communicate effectively with both technical and product stakeholders will be highly valued.