Snowflake Data Engineer (Airflow)

Link Group; Wrocław; Hybrid; PLN 140,000 - 190,000; Full time

Job summary

Link Group in Poland is seeking an experienced Data Engineer to design, build, and optimize data pipelines using Apache Airflow, Python, SQL, and Snowflake. The role includes developing data ingestion and transformation processes with dbt and leveraging AWS S3 and Data Lake architectures.

You will work on pipeline reliability, performance tuning, and end-to-end data flows in a collaborative environment, ensuring scalability and data quality across services.

Qualifications

• 3+ years of professional experience in Data Engineering.
• Strong expertise in Apache Airflow, including DAG development, operators, sensors, TaskFlow API, and workflow optimization.
• Advanced Python skills, including writing clean, maintainable, and testable code.
• Advanced SQL knowledge, including complex queries, CTEs, window functions, and performance optimization.

Responsibilities

• Develop and maintain data pipelines using Apache Airflow and Python.
• Build data ingestion processes from APIs, databases, and file-based sources into AWS S3 and Snowflake.
• Design and implement data transformations using dbt.
• Optimize Snowflake queries, warehouse performance, and resource consumption.
• Implement pipeline monitoring, error handling, and alerting mechanisms.

Skills

Python

SQL

API

Snowflake

dbt

AWS S3

Data Lake

Git

CI/CD

English

Tools

Docker

Apache Airflow

Kubernetes

dbt

Snowflake

Job description

• API
• Python
• SQL
• Snowflake
• dbt
• AWS S3
• Data Lake
• Git
• CI/CD
• Angielski
• Docker
• Apache
• Data modeling
• 3+ years of professional experience in Data Engineering.
• Strong expertise in Apache Airflow , including DAG development, operators, sensors, hooks, TaskFlow API, and workflow optimization.
• Advanced Python skills, including writing clean, maintainable, and testable code.
• Advanced SQL knowledge, including complex queries, CTEs, window functions, and performance optimization.
• Hands-on experience with Snowflake , including warehouses, stages, external volumes, and data loading processes.
• Practical knowledge of dbt , including models, tests, macros, snapshots, and incremental transformations.
• Experience with AWS S3 and Data Lake architecture, including data partitioning, file formats, and access management.
• Familiarity with Git and CI/CD practices.
• English proficiency at B2 level or higher.

Nice to Have

• Experience with Docker and Kubernetes.
• Knowledge of Apache Iceberg or Delta Lake.
• Familiarity with data quality and observability tools such as Great Expectations or Soda.
• Understanding of dimensional data modeling (Kimball methodology).
• Develop and maintain data pipelines using Apache Airflow and Python.
• Build data ingestion processes from APIs, databases, and file-based sources into AWS S3 and Snowflake.
• Design and implement data transformations using dbt.
• Optimize Snowflake queries, warehouse performance, and resource consumption.
• Implement pipeline monitoring, error handling, and alerting mechanisms.
• Ensure data quality, consistency, and reliability through automated testing and validation.
• Start ASAP

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