Developer – Data Engineer (GCP) - 10967049
Confirmed on the employer's own hiring board on Oct 10, 2026. First seen by Alion on Oct 9, 2026.
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.