Data Engineer GCP – Spécialiste Exploitation & Run

About Randstad Digital

Randstad Digital is the benchmark technology partner for companies. Our mission is to support our clients in their digital projects and to innovate through our expertise, our diversified and agile methodologies.

Whatever the project you start, you will be supported in your career evolution by your dedicated talent development specialist and you will be integrated into our various tech & fun Randstad Digital events.

Today we are more than 25,000 employees. We work with over 300 clients leaders in 5 key sectors.

Joining Randstad digital France means participating in more ambitious technological projects with an international scope thanks to our presence in over 20 countries.

Formerly AUSY, we have 35 years of experience in our areas of expertise.

Your Job

Main Mission

Within the Data & Infrastructure team, you are the guarantor of the robustness, optimization, and operational availability of our data pipelines on Google Cloud Platform (GCP). You combine solid skills in data engineering with high-level expertise in operations, maintenance in operational condition (MCO), and incident investigation.

Required Expertise & Technical Stack

We are looking for a profile with asymmetric seniority, emphasizing operational robustness:

🚀 Core Skills (Required Levels)

• Operations & Incident Investigation (Level 4/5 - Expert): Advanced ability to diagnose, analyze logs, identify root causes (Root Cause Analysis), and quickly resolve production incidents on complex data flows.
• GCP Environment (Level 3/5 - Confirmed): Operational mastery of BigQuery (query optimization, partitions, costs) and Cloud Run (container deployment, resource management).
• Linux System (Level 3/5 - Confirmed): Excellent mastery of common system administration, scripting, and server environment navigation.

⚙️ Infrastructure as Code and CI/CD

• Terraform (Level 2-3/5): Ability to read, modify, and deploy Cloud infrastructure as code.
• GitLab CI: Design and maintenance of continuous integration and continuous deployment (CI/CD) pipelines.

📐 Assets & Complementary Skills

• Languages: Mastery of SQL (complex queries and optimization) and Python (development of scripts and data jobs).
• Orchestration & Flows: Experience with Apache Airflow (DAG creation and monitoring).
• Storage & Transfer: Manipulation of S3 Buckets (or Cloud Storage equivalents) and mastery of secure file transfer protocols, particularly CFT (Cross File Transfer).

Daily Responsibilities and Missions

1. Operations, Supervision & Incident Resolution (50%)

   • Provide Level 3 support on data platforms and lead the resolution of production incidents.
   • Analyze performance metrics and logs to anticipate failures or flow congestion.
   • Implement remediation playbooks to automate the resolution of recurring alerts.

2. GCP Engineering and Optimization (30%)

   • Optimize costs and performance of BigQuery architectures and Cloud Run services.
   • Adapt and evolve infrastructure via Terraform and industrialize deployments via GitLab CI.
   • Ensure the proper integration and security of transfer protocols (CFT) and object storage (S3/GCS).

3. Pipeline Maintenance & Evolution (20%)

   • Maintain and optimize data orchestration workflows under Airflow.
   • Develop or correct data processing scripts in Python and SQL queries.
   • Collaborate with Build teams (Data Architects / Data Scientists) to streamline the production deployment of new projects.

Your Profile

Profile Sought

• Education: Master's degree in computer science / engineering school (or Bachelor's degree with equivalent and significant field experience).
• Soft Skills: High stress resistance during production crises.
• Methodological rigor (structured approach to incidents).
• Team spirit and excellent communication to interact with business teams and infrastructure teams.