Staff Data Engineer (Snowflake/Power BI)

Location: Krakow, Poland; hybrid with at least 3 days per week in the office for candidates who live within a reasonable commute

Salary: PLN 336,000–420,000 per year

Company

hirify.global is a technology company developing finance automation software and an AI-powered enterprise SaaS product.

What you will do

• Architect and own the end-to-end data platform on Snowflake, covering ingestion, transformation, serving, scalability, reliability, and cost efficiency.
• Build and govern ELT/ETL pipelines that transform operational, event-stream, and third-party data into analytics-ready Snowflake datasets.
• Design enterprise Power BI semantic models, reports, and dashboards, including row-level security and governed customer-facing analytics.
• Establish modular, tested, documented data models and implement data quality, automated testing, monitoring, and observability standards.
• Use AI-assisted development tools such as Cursor and Claude to improve pipeline development, query optimization, and documentation.
• Mentor data engineers and collaborate with Software Engineers, Product Managers, and Finance stakeholders on reliable data products.

Requirements

• Deep expertise with Snowflake data modeling, performance tuning, cost optimization, clustering, dynamic tables, security, and governance.
• Advanced Power BI proficiency, including DAX, Power Query, semantic models, enterprise reporting, row-level security, incremental refresh, deployment pipelines, and administration.
• Strong experience operating production ELT/ETL pipelines with dbt, Apache Airflow, Azure Data Factory, or equivalent orchestration tools.
• Expert SQL skills and working knowledge of a general-purpose programming language, preferably Python.
• Demonstrated use of AI-driven development tools to improve data engineering velocity and quality.
• Technical leadership experience, strong data quality and observability practices, and excellent written and verbal communication.

Nice to have

• Experience in finance, accounting, fintech, or another regulated industry.
• Experience with Azure or AWS data architectures, including Azure Synapse, Azure Data Lake, AWS Glue, or S3.
• Streaming or event-driven ingestion experience with Kafka, Azure Event Hubs, or similar technologies.
• Knowledge of Responsible AI and auditable AI/ML data infrastructure.
• Experience establishing data practices from scratch, including cataloging, lineage, and self-service BI.

Culture & Benefits

• Professional development seminars and opportunities for continued learning.
• Inclusive affinity groups supporting diversity and belonging.
• Kind, open, and accepting workplace culture with diverse perspectives.
• Combination of virtual and in-person collaboration designed to support teamwork.