Snowflake Data Engineer | Warsaw, Poland

Tech Junction Ltd; Warszawa; Hybrid; PLN 290,000 - 520,000; Full time

Job summary

Generativx in Warsaw, Poland is seeking an experienced Snowflake Data Engineer for a permanent hybrid role. You will design, develop, and maintain scalable data pipelines, implement ELT workflows in Snowflake, and optimize data quality and performance across cloud platforms.

The ideal candidate has 10+ years in data engineering, deep Snowflake expertise, strong SQL, dbt, Python and Airflow, plus API integration skills. Local work eligibility is required; visa sponsorship is not available.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or a related technical discipline.
• Minimum of 10+ years of progressive professional experience in software engineering, data warehousing, and big data architecture.
• Strong hands-on Snowflake architecture, data modeling, warehousing, and SQL performance tuning.
• Deep practical knowledge of dbt and advanced SQL.
• Proficiency in Python and Apache Airflow.

Responsibilities

• Design, develop, test, and maintain highly scalable data pipelines using Snowflake.
• Build, optimize, and version-control data transformation workflows with dbt and SQL.
• Implement ELT processes and cloud data warehouse solutions.
• Integrate data from APIs and cloud platforms into centralized data repositories.
• Optimize data pipeline performance, reliability, and data quality.
• Schedule, orchestrate, and monitor data workflows with Apache Airflow.

Skills

Snowflake

SQL performance

Python

Airflow

dbt

API integration

Education

Bachelor's degree

Tools

Docker

Kubernetes

CI/CD

Job description

Position Summary:

We are actively seeking an experienced, high-caliber, and technical Snowflake Data Engineer with 10+ years of professional experience in data engineering and cloud data warehousing to join our technology team in Warsaw, Poland on a permanent hybrid basis (Note: Visa sponsorship is not available). In this critical data architecture role, you will be responsible for designing, developing, and maintaining scalable data pipelines, optimizing ELT workflows, and implementing robust modern data warehouse solutions. You will leverage your deep specialist expertise in Snowflake, advanced SQL, dbt, Python, Apache Airflow, and cloud integration architectures to deliver uncompromised data quality and performance. This opportunity offers competitive compensation, executive technical visibility, and exceptional career growth prospects within a premier global analytics and technology enterprise.

Detailed Job Description:

As a Snowflake Data Engineer supporting advanced data operations in Warsaw, Poland, you will take full operational, tactical, and technical ownership of enterprise data pipeline architecture, dbt transformation workflows, and cloud-based data integration. Your day-to-day responsibilities include designing scalable data pipelines using Snowflake, building and optimizing data transformation workflows using dbt and advanced SQL, implementing ELT processes and modern data warehouse solutions, integrating data from APIs and cloud platforms, and optimizing pipeline performance, reliability, and data quality. You will utilize your proactive troubleshooting and engineering skills to collaborate with cross-functional analytics squads. Furthermore, you will manage application requirements via direct email to Meenakshi Bhardwaj at [e-mail], ensuring strict compliance with the 10+ years of experience requirement and local work eligibility (visa sponsorship not available).

Key Responsibilities:

• Design, develop, test, and maintain highly scalable data pipelines, ETL/ELT processes, and enterprise data flows using Snowflake.
• Build, optimize, and version-control data transformation workflows using dbt (data build tool) and advanced SQL queries.
• Implement modern cloud data warehouse solutions, multi-cluster architectures, and secure data sharing protocols within Snowflake.
• Integrate data seamlessly from diverse APIs, databases, and cloud-based platforms into centralized data repositories.
• Optimize data pipeline performance, throughput, resource consumption, reliability, and end-to-end data quality standards.
• Schedule, orchestrate, and monitor complex data workflows using Apache Airflow and automated pipeline schedulers.
• Collaborate cross-functional with data scientists, software developers, BI analysts, and business stakeholders.
• Author meticulous technical documentation, data models, pipeline lineage diagrams, and database administration runbooks.

Required Qualifications & Skills:

• Bachelor’s degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or a related technical discipline.
• Minimum of 10+ years of progressive professional experience in software engineering, data warehousing, and big data architecture.
• Strong, demonstrable hands-on operational expertise in Snowflake architecture, data modeling, warehousing, and SQL performance tuning.
• Deep practical knowledge of modern data transformation workflows using dbt and advanced SQL.
• Proficiency in Python and workflow orchestration tools such as Apache Airflow.
• Comprehensive understanding of ELT design patterns, API integration, and cloud data platform ecosystems.
• Strong analytical, architectural, and problem-solving capabilities under complex data scenarios.
• Excellent written and verbal English communication skills with strong technical leadership abilities.
• Mandatory legal work eligibility in Poland / European Union (Visa sponsorship is not available).
• Availability for hybrid working arrangements in Warsaw, Poland.

Nice-to-Have Skills:

• Professional cloud and data certifications (e.g., Snowflake Certified SnowPro Core / Advanced Architect, AWS Certified Data Analytics).
• Prior professional working experience in top-tier multinational banking, telecommunications, or enterprise consulting firms.
• Experience with containerization technologies (Docker, Kubernetes) and CI/CD deployment pipelines for data code.
• Familiarity with data governance tools, data catalogs (Collibra, Alation), and data quality frameworks.

Application Information:

Recruiter: Generativx Technology Recruitment Division
Contact Name: Meenakshi Bhardwaj (Global IT Talent Acquisition Specialist)
Email: [e-mail]
Phone:
Company Website: https://www.generativx.com
Salary/Rate: Market Competitive / Senior Enterprise Package
Deadline: Open until filled (Urgent Warsaw Hybrid Opening)
Notice Period: Immediate to 30 Days
Contract Duration: Permanent / Full-Time Hybrid (Warsaw, Poland - No Visa Sponsorship)

Recruitment Pro Tip:

When applying for this Snowflake Data Engineer position, ensure your resume explicitly highlights your hands-on dbt and Snowflake architecture portfolio, your 10+ years of senior data engineering tenure, and confirms your local work authorization in Poland.