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
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Design, develop, and implement scalable data engineering solutions on GCP.
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Build and maintain cloud-native data platforms and architectures.
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Design data ingestion, transformation, and orchestration processes.
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Develop production-grade data pipelines and applications using Scala and/or Java.
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Design, implement, and maintain CI/CD pipelines using GitHub Workflows / GitHub Actions.
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Implement Infrastructure as Code (IaC) using Terraform.
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Support cloud architecture, automation, and DevOps practices.
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Design and manage event-driven data architectures using Apache Kafka.
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Perform Kafka platform design, administration, configuration, and setup.
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Work with Google Bigtable, including design, implementation, tuning, and operational activities.
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Collaborate with Data Engineers and Product Teams to understand requirements and deliver technical solutions.
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Participate in and conduct technical design reviews.
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Ensure solutions are scalable, reliable, secure, and maintainable.
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Contribute to continuous improvement of the organization's cloud and data engineering practices.
Essential Skills
Google Cloud & Platform Engineering
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Strong hands-on experience with Google Cloud Platform (GCP).
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Strong experience with Terraform and Infrastructure as Code.
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Experience designing and implementing CI/CD pipelines.
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Hands-on experience with GitHub Workflows / GitHub Actions.
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Strong understanding of cloud architecture.
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Experience with cloud automation and DevOps practices.
Data Engineering
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Experience designing and implementing scalable data solutions on GCP.
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Strong understanding of data ingestion patterns.
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Experience with data transformation and orchestration.
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Strong understanding of modern data platform architectures.
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Experience building production-grade data pipelines.
Messaging & Streaming
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Strong experience with Apache Kafka.
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Experience with Kafka platform design, administration, and setup.
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Understanding of event-driven architectures.
Databases
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Hands-on experience with Google Bigtable.
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Experience with Bigtable design and implementation.
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Experience with Bigtable performance tuning and operations.
Development
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Strong development skills in Scala and/or Java.
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Experience developing production-grade applications.
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Experience developing production-grade data pipelines.
Additional Requirements
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Ability to perform and contribute to technical design reviews.
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Strong communication and interpersonal skills.
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Ability to work closely with Data Engineers and Product Teams.
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Strong analytical and problem-solving skills.
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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.