Snowflake Data Engineer with German

Location: Hybrid, Poland; offices in Warsaw, Wrocław, Kraków, and Gdańsk.

Company

hirify.global delivers enterprise technology and data solutions for international clients.

What you will do

• Design, develop, and maintain production-grade ETL/ELT pipelines in Snowflake using SQL, Python, and modern orchestration tools.
• Build data models and dbt transformations for reporting and analytics.
• Optimize SQL queries and Snowflake warehouse performance while managing databases, schemas, and access controls.
• Integrate Snowflake pipelines with cloud storage and services and contribute to Data Lake and Lakehouse solutions.
• Use Git and CI/CD tools to test, deploy, and document changes.
• Work with technical and business stakeholders to understand requirements and deliver solutions in German.

Requirements

• 3–5 years of experience as a Data Engineer, including in-depth practical experience with Snowflake as a data warehouse.
• Strong hands-on Snowflake development experience covering databases, schemas, stages, streams/tasks, views, stored procedures, performance tuning, and access management.
• Understanding of data warehouse design, dimensional modeling, Kimball methodology, data marts, and star/snowflake schemas.
• Excellent SQL skills and practical experience designing efficient transformations, analytical queries, and reusable data models.
• Experience building production-grade ETL/ELT pipelines with modern orchestration tools and in-depth dbt experience across development, testing, and deployment.
• Good Python skills for data processing, automation, testing, and integration tasks.
• Practical understanding of Data Lake and Lakehouse concepts, including ingestion, storage, governance, and analytics enablement.
• Practical experience with at least one cloud platform, preferably Azure, AWS, or GCP, including storage, compute, networking, identity, and security basics.
• Knowledge of Git, Azure DevOps or similar tools, code reviews, testing, and CI/CD practices, plus the ability to work with technical and business stakeholders.
• Good command of German at minimum B2 level.

Nice to have

• Experience with Snowpark, Snowpipe, dynamic tables, data sharing, masking policies, or Snowflake Native Apps.
• Experience with Airflow, Azure Data Factory, Databricks, or other modern data engineering tools.
• Knowledge of data governance, metadata management, cataloging, observability, and cost optimization.
• Basic knowledge of Docker, Kubernetes, serverless deployment, or infrastructure as code.
• Awareness of AI and GenAI concepts including LLMs, embeddings, semantic search, RAG, prompt-based workflows, and AI-ready data preparation.
• Willingness to use AI-assisted development tools such as GitHub Copilot, Cursor, or Claude Code.

Culture & Benefits

• Stable employment in an international company with advancement opportunities and varied technology projects.
• Modern offices in Wrocław, Warsaw, Kraków, and Gdańsk with in-person collaboration and flexibility.
• Medical insurance, life insurance, Multisport Card, and Employee Assistance Program support.
• Access to DXC University, external learning platforms, foreign-language learning, and partner courses and certifications.
• Onboarding buddy support, employee recognition and referral programs, and charity, ecology, sports, wellness, and cultural activities.