
Data Engineer
1 day ago
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
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Design, build, and maintain scalable data pipelines on Google Cloud Platform (GCP)
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Collaborate with data scientists, analysts, and other engineers to ensure smooth data flow and integration
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Monitor and troubleshoot pipeline performance issues to ensure reliability and uptime
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Implement best practices in data quality, governance, and security
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Continuously optimize ETL processes for performance and cost-efficiency
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Contribute to infrastructure automation and provisioning using Terraform or similar tools
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Manage orchestration tools such as Airflow for workflow scheduling and execution
Required Skills & Experience
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University degree in Computer Science, Information Systems, or a related field
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4-7 years of experience in data engineering or a similar technical role
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Strong programming skills in Python and advanced SQL knowledge
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Experience with ETL/ELT development and pipeline optimization
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Familiarity with cloud-based data platforms, ideally Google Cloud Platform (GCP)
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Experience working with BigQuery for scalable analytics
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Knowledge of orchestration tools like Apache Airflow
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Proficient in infrastructure-as-code practices using Terraform
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Strong communication skills in English (both written and spoken)
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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.
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