Data Engineer (GCP, Snowflake, dbt)

Location: Warsaw, Cracow, Wroclaw, Bialystok, or remote from Poland.

Salary: 15,120–21,000 PLN monthly for Mid level; 21,000–28,560 PLN monthly for Senior level, B2B.

Company

hirify.global is an AI consulting and data engineering company delivering scalable AI, Big Data, and analytics solutions for enterprises and startups, with its own ContextClue product and open-source contributions.

What you will do

• Design, develop, and optimize data pipelines and data models using modern cloud technologies.
• Build and maintain dbt models and complex transformations with Python and SQL.
• Support data warehouse modernization, BI migrations, and integration of multiple data sources.
• Develop analytical datasets and reporting solutions for customer acquisition, retention, churn, revenue, and business performance.
• Ensure data quality through testing, monitoring, documentation, and governance practices.
• Collaborate with engineers, analysts, and business stakeholders on scalable data solutions.

Requirements

• 3+ years of commercial experience in Data Engineering or Analytics Engineering.
• Strong hands-on experience with GCP, including BigQuery, and Snowflake.
• Advanced Python and SQL skills, including complex transformations, data processing, and query optimization.
• Practical experience developing, testing, and optimizing dbt models.
• Understanding of data warehousing, data modelling, ETL/ELT processes, and data architecture best practices.
• Experience with BI and reporting tools such as Looker, LookML, Omni, Power BI, or Tableau.
• Experience with workflow orchestration tools such as Apache Airflow or equivalent solutions.
• Experience with Git, CI/CD pipelines, code reviews, and automated testing.
• Strong analytical and problem-solving skills, independence, and ability to collaborate with business stakeholders.
• Excellent English communication skills at C1 minimum.

Nice to have

• Knowledge of CRM systems such as HubSpot or Salesforce.
• Experience with semantic layers, BI migrations, or data warehouse refactoring.
• Background in fintech, SaaS, or commercial analytics.
• Familiarity with A/B testing, product analytics, or AI-ready data solutions.

Culture & Benefits

• Remote work or access to modern offices and coworking spaces in Poland.
• Career paths, knowledge sharing, language classes, sponsored training, conferences, and certification opportunities.
• Medical and sports packages, eye care, psychotherapy, coaching, and well-being support.
• Team-building events, integration budget, and a supportive, autonomous culture with dedicated onboarding support.
• Company-provided laptop and other necessary work equipment.
• Opportunities to speak at conferences, write for the company blog, and participate in meetups.