Data Engineer - Snowflake / Azure

New

DateonicData engineering

Workplace type: remote; Country code: PLContractMiddle

Salary120 - 150 PLN per hour

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Job Details

Have strong hands-on experience with Snowflake in production, including query tuning, workload management, and cost optimisation.
Have proven expertise in dbt, including model development, testing, documentation, and deployment practices.
Demonstrate advanced SQL skills and a solid understanding of dimensional data modelling and layered data architectures.
Have practical Python programming experience for data ingestion, automation, and API integrations.
Have experience building, scheduling, monitoring, and troubleshooting production ELT pipelines.
Have working knowledge of Microsoft Azure and cloud-based data services.
Understand software engineering best practices, including Git and CI/CD pipelines applied to data workflows.
Be able to work autonomously and demonstrate strong problem-solving skills.
Have fluent professional English for international team collaboration.
Experience with Dagster, Airflow, or cloud-native orchestration tools is a plus.
Exposure to Terraform, Snowflake Cortex, Agentic AI, AWS data services, Apache Kafka, or Power BI is a plus.

Design, develop, and maintain robust batch and scheduled ELT data pipelines in production environments.
Build and manage dbt models, automated tests, documentation, and dependency workflows.
Optimise Snowflake queries, warehouse sizing, and data models for performance, scalability, and cost efficiency.
Implement automated monitoring, alerting, error handling, and recovery mechanisms for pipeline reliability and observability.
Apply Git version control, CI/CD automation, and testing frameworks to data pipelines.
Perform root cause analysis on production issues and data anomalies and deliver technical and architectural resolutions.
Collaborate with client teams, technical architects, and data analysts across international project streams.

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