Job Title: Data Engineer (L3/L4)
Location: EU (Remote)
Start Date: ASAP
Contract Duration: 12 months (with possibility of extension)
Working Method: 100% Remote (with 1-2 business trips per year; expenses reimbursed separately)
Language Requirements: English (Fluent)
Experience Level: Mid to Senior (4-7 years)
Role Overview
We are looking for an experienced Data Engineer to join our growing team, with a focus on developing, maintaining, and optimizing data pipelines in a Google Cloud Platform (GCP) environment. The ideal candidate will be proficient in Python and SQL, and demonstrate a strong understanding of modern data engineering practices. You will work cross-functionally with other engineering and business teams to ensure a robust, scalable, and efficient data infrastructure that supports analytics and business operations.
Key Responsibilities
Design, build, and maintain scalable data pipelines on Google Cloud Platform (GCP)
Collaborate with data scientists, analysts, and other engineers to ensure smooth data flow and integration
Monitor and troubleshoot pipeline performance issues to ensure reliability and uptime
Implement best practices in data quality, governance, and security
Continuously optimize ETL processes for performance and cost-efficiency
Contribute to infrastructure automation and provisioning using Terraform or similar tools
Manage orchestration tools such as Airflow for workflow scheduling and execution
Required Skills & Experience
University degree in Computer Science, Information Systems, or a related field
47 years of experience in data engineering or a similar technical role
Strong programming skills in Python and advanced SQL knowledge
Experience with ETL/ELT development and pipeline optimization
Familiarity with cloud-based data platforms, ideally Google Cloud Platform (GCP)
Experience working with BigQuery for scalable analytics
Knowledge of orchestration tools like Apache Airflow
Proficient in infrastructure-as-code practices using Terraform
Strong communication skills in English (both written and spoken)
Self-starter attitude with a proactive approach to learning and problem-solving
If youre passionate about building robust data solutions in a cloud-native environment and enjoy working on high-impact projects in a collaborative setting, we would love to hear from you.