TL;DR

Google Cloud Data Engineer (GCP): Designing, building, and optimizing data platforms and robust data pipelines using GCP tools such as BigQuery, Dataflow, and Pub/Sub with an accent on real-time data streaming, message-driven architectures, and scalable processing. Focus on developing secure, high-performance systems for reliability and scale, and advocating best practices in architecture and data governance.

Location: Netherlands

Company

%hirify_global% is a consulting company that helps clients evolve into truly data-driven organizations through insights and automation using Google Cloud Platform.

What you will do

Build and maintain robust data pipelines using GCP tooling such as BigQuery, Cloud Dataflow, Cloud Composer, Firestore, Cloud Storage, and Pub/Sub.
Enable real-time data streaming, message-driven architectures, and scalable processing solutions.
Collaborate with cross-functional teams including data scientists, analysts, and consultants.
Apply Infrastructure-as-Code, Agile, and CI/CD practices to manage deployment and operations.
Develop secure, high-performance systems using Python and SQL for reliability and scale.
Advocate best practices in architecture, security, and data governance.

Requirements

At least 3 years of experience in a similar Data Engineer role.
Completed a technical WO or HBO education (demonstrate a WO level of thinking and working).
Expertise with Google Cloud Platform (GCP) and its core data services such as BigQuery, Dataflow, Pub/Sub, and Cloud Storage.
Skilled in collaborating with teams, communicating effectively, and strong analytical and leadership abilities.
Familiarity with SQL, Python, data pipelines, API access, Agile, Scrum, DevOps, and Infrastructure-as-Code.
Fluent in English.

Nice to have

GCP certifications, like Professional Data Engineer or Professional Cloud Architect.
Familiarity with data architecture and data storytelling.

Culture & Benefits

A personal development path including training, certification, mentoring, and learning opportunities.
Collaborate with experts on cutting-edge data, analytics, and transformation initiatives.
Immediate impact and responsibility from day one on client engagements.
Supportive, flexible culture with a no-nonsense, inclusive, and high-autonomy work environment.
Additional benefits: bonus scheme, expense allowance, company car or mobility budget, extra vacation days or sabbatical options, and affordable sports membership.
Potential for a permanent contract after six months if there’s a good match.

Hiring process

Apply directly or reach out to our recruitment team for an informal coffee chat.