Data Engineer (Snowflake)

TL;DR

Data Engineer (Python/Snowflake): Building and scaling ETL/ELT pipelines for a unified data platform with an accent on firmographic data ingestion and enrichment. Focus on implementing data matching logic using AI/ML tools and developing semantic models with dbt.

Location: Remote (Must be based in Poland)

Company

hirify.global is recruiting on behalf of a leading global management consultancy focused on strategy, transformation, and performance improvement.

What you will do

• Design and maintain robust, scalable ETL/ELT pipelines to ingest third-party and first-party datasets.
• Apply transformation, normalization, and enrichment rules to ensure data consistency and usability.
• Implement data matching and entity resolution processes using AI/ML tools and proprietary frameworks.
• Build monitoring alerts, logs, and metrics to ensure pipeline health and rapid issue resolution.
• Develop dbt models from raw data through staging and intermediate layers to final semantic models.
• Contribute to documentation and code quality standards to ensure system maintainability.

Requirements

• 4–8 years of experience in data engineering building production-grade data pipelines.
• Proficiency in SQL, Python, dbt, and Snowflake.
• Experience with Spark, Airflow, and Azure Data Lake.
• Familiarity with Azure cloud platform.
• Strong understanding of data modeling, version control, CI/CD, and data governance principles.
• Must be based in Poland

Culture & Benefits

• Opportunity to work in a fast-growing, high-impact team within a startup-style group inside a global corporation.
• Contribute to building a world-leading, comprehensive business directory.
• Work with cutting-edge data tools, including AI/ML enrichment and semantic matching.
• Modern cloud-based infrastructure environment.