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High-CTR: Snowflake Data Engineer Careers in Warsaw | Apply Now!

Snowflake

High-CTR: Snowflake Data Engineer Careers in Warsaw | Apply Now!

full-timePosted: Feb 6, 2026

Job Description

Snowflake Data Engineer - Warsaw: Join the Data Revolution

Are you a passionate data engineer with a knack for building robust and scalable data pipelines? Do you thrive in a fast-paced, innovative environment where you can make a real impact? If so, Snowflake is the place for you! We're seeking a talented Snowflake Data Engineer to join our Product and Data Science team in Warsaw. This role is crucial in shaping the future of our data ecosystem by designing, building, and maintaining efficient data infrastructure. You'll be working with cutting-edge technologies like Snowflake, Streamlit, and modern AI tools to empower our teams and drive data-informed decisions.

A Day in the Life of a Snowflake Data Engineer

Imagine starting your day by reviewing the performance of our data pipelines. You identify a bottleneck in one of the ETL processes and dive into optimizing the code for better efficiency. Next, you collaborate with a data scientist to understand their data requirements for a new machine learning model. You design and implement a new data pipeline to provide them with the necessary data, ensuring its quality and consistency.

In the afternoon, you focus on building a Streamlit dashboard to visualize key performance indicators for our data operations. You integrate the dashboard with Snowflake, enabling real-time monitoring of data quality and pipeline performance. You also spend time implementing data governance policies and access control to ensure the security of our data assets. Finally, you participate in a team meeting to discuss upcoming projects and share your insights on how to improve our data infrastructure.

Why Warsaw? A Hub for Tech Talent

Warsaw is a vibrant and growing city that has become a major hub for technology and innovation in Central Europe. With a thriving startup scene and a growing number of international companies establishing offices here, Warsaw offers a wealth of opportunities for tech professionals. The city boasts a highly skilled workforce, a supportive business environment, and a high quality of life.

Choosing a career in Warsaw means joining a dynamic community of talented engineers and data scientists. You'll have access to numerous networking events, workshops, and conferences, allowing you to connect with industry leaders and stay up-to-date on the latest trends. Plus, Warsaw's central location makes it easy to travel to other European cities, allowing you to explore the continent and experience different cultures.

Chart Your Career Path at Snowflake

At Snowflake, we believe in investing in our employees and providing them with opportunities to grow and advance their careers. As a Snowflake Data Engineer, you'll have the chance to develop your skills in a variety of areas, including data modeling, ETL/ELT development, cloud technologies, and AI. You can also pursue certifications and attend training programs to enhance your expertise.

With experience and proven performance, you can advance to senior data engineer roles, leading complex projects and mentoring junior team members. You can also explore opportunities in data architecture, data science, or management, depending on your interests and skills. Snowflake is committed to supporting your career aspirations and helping you achieve your full potential.

Competitive Salary & Benefits

Snowflake offers a competitive salary and benefits package that is designed to attract and retain top talent. In addition to a base salary, you'll be eligible for performance-based bonuses, stock options, and a comprehensive benefits package that includes health insurance, paid time off, retirement plan, and employee assistance programs. We also provide professional development opportunities, wellness programs, and flexible work arrangements to support your well-being and work-life balance.

Embrace Innovation at Snowflake

Snowflake is built on a culture of innovation, collaboration, and customer focus. We encourage our employees to think outside the box, challenge the status quo, and experiment with new technologies. You'll be working alongside talented and passionate individuals who are committed to pushing the boundaries of what's possible with data. We foster a supportive and inclusive environment where everyone feels empowered to contribute their ideas and make a difference.

Ready to Join the Snowflake Team?

If you're a skilled data engineer with a passion for Snowflake and cloud technologies, we encourage you to apply! Submit your resume and cover letter through our online application portal. Be sure to highlight your experience with Snowflake, Python, Streamlit, and cloud platforms. We look forward to hearing from you!

Frequently Asked Questions (FAQ)

  1. What is Snowflake?
  2. Snowflake is a fully managed cloud data platform that enables organizations to store, process, and analyze vast amounts of data.
  3. What are the key responsibilities of a Snowflake Data Engineer?
  4. Key responsibilities include designing and building data pipelines, optimizing performance, implementing data governance, and collaborating with cross-functional teams.
  5. What skills are required for this role?
  6. Required skills include Snowflake, Python, SQL, Streamlit, and experience with cloud platforms like AWS, Azure, or GCP.
  7. What is the career path for a Snowflake Data Engineer?
  8. With experience, you can advance to senior data engineer roles, data architect, data scientist, or management positions.
  9. What is the work environment like at Snowflake?
  10. Snowflake fosters a collaborative, innovative, and fast-paced work environment.
  11. What are the benefits of working at Snowflake?
  12. Benefits include a competitive salary, comprehensive health insurance, paid time off, retirement plan, and stock options.
  13. What kind of projects will I be working on?
  14. You will be working on a variety of projects, including building data pipelines, optimizing data warehouse performance, and developing data visualizations.
  15. How does Snowflake support employee growth and development?
  16. Snowflake provides opportunities for professional development through training programs, certifications, and mentorship.
  17. What is the interview process like?
  18. The interview process typically includes a phone screening, technical interviews, and a final interview with the hiring manager.
  19. What are the opportunities for remote work?
  20. This position is in Warsaw, Poland, and is not remote.

Locations

  • Warsaw, Poland

Salary

0

Skills Required

  • Snowflakeintermediate
  • Data Modelingintermediate
  • ETL/ELT Developmentintermediate
  • Performance Tuningintermediate
  • Pythonintermediate
  • Streamlitintermediate
  • SQLintermediate
  • AWSintermediate
  • Azureintermediate
  • GCPintermediate
  • S3intermediate
  • Redshiftintermediate
  • BigQueryintermediate
  • Data Warehousingintermediate
  • Data Governanceintermediate
  • Security Best Practicesintermediate
  • Data Quality Checksintermediate
  • SLA Monitoringintermediate
  • Dependency Trackingintermediate
  • Gitintermediate
  • Cloud Technologiesintermediate
  • AI Tools (Cursor)intermediate
  • Data Pipelinesintermediate
  • Cost Optimizationintermediate

Required Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or a related field. (experience)
  • Proven hands-on experience with Snowflake, including data modeling, ETL/ELT development, and performance tuning. (experience)
  • Advanced proficiency in Python, with experience scripting and automating data workflows. (experience)
  • Demonstrated experience building Streamlit applications integrated with Snowflake. (experience)
  • Strong command of SQL for complex data querying and analysis. (experience)
  • Familiarity with cloud platforms such as AWS, Azure, or GCP, and services like S3, Redshift, or BigQuery. (experience)
  • Strong problem-solving and communication skills. (experience)
  • Ability to thrive both independently and as part of a collaborative, fast-paced team environment. (experience)
  • Understanding of data warehousing principles, architecture, and best practices. (experience)
  • Experience with version control systems (e.g., Git) (experience)

Responsibilities

  • Design, develop, and maintain scalable data pipelines using Snowflake and cloud technologies.
  • Own and manage cost optimization for Product and Data Science team operations.
  • Optimize pipelines for performance, reliability, and efficiency.
  • Build and maintain dashboards and reporting platforms using Streamlit.
  • Collaborate with cross-functional teams to gather requirements and deliver robust data solutions.
  • Work with modern AI tools, including Cursor, to accelerate development.
  • Implement data governance, security best practices, and access control policies.
  • Develop and enforce data quality checks, SLA monitoring, and dependency tracking.
  • Utilize version control systems (e.g., Git) and manage deployment workflows.
  • Proactively troubleshoot and resolve data-related issues.
  • Build and scale our enterprise data warehouse.
  • Ensure data infrastructure is scalable, reliable and efficient.

Benefits

  • general: Competitive salary and benefits package.
  • general: Opportunities for professional development and growth.
  • general: Collaborative and innovative work environment.
  • general: Impactful work on a cutting-edge data platform.
  • general: Health insurance
  • general: Paid time off
  • general: Retirement plan
  • general: Stock options
  • general: Employee assistance program
  • general: Professional development budget
  • general: Wellness programs
  • general: Flexible work arrangements
  • general: Life insurance
  • general: Disability insurance

Target Your Resume for "High-CTR: Snowflake Data Engineer Careers in Warsaw | Apply Now!" , Snowflake

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Tags & Categories

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Snowflake logo

High-CTR: Snowflake Data Engineer Careers in Warsaw | Apply Now!

Snowflake

High-CTR: Snowflake Data Engineer Careers in Warsaw | Apply Now!

full-timePosted: Feb 6, 2026

Job Description

Snowflake Data Engineer - Warsaw: Join the Data Revolution

Are you a passionate data engineer with a knack for building robust and scalable data pipelines? Do you thrive in a fast-paced, innovative environment where you can make a real impact? If so, Snowflake is the place for you! We're seeking a talented Snowflake Data Engineer to join our Product and Data Science team in Warsaw. This role is crucial in shaping the future of our data ecosystem by designing, building, and maintaining efficient data infrastructure. You'll be working with cutting-edge technologies like Snowflake, Streamlit, and modern AI tools to empower our teams and drive data-informed decisions.

A Day in the Life of a Snowflake Data Engineer

Imagine starting your day by reviewing the performance of our data pipelines. You identify a bottleneck in one of the ETL processes and dive into optimizing the code for better efficiency. Next, you collaborate with a data scientist to understand their data requirements for a new machine learning model. You design and implement a new data pipeline to provide them with the necessary data, ensuring its quality and consistency.

In the afternoon, you focus on building a Streamlit dashboard to visualize key performance indicators for our data operations. You integrate the dashboard with Snowflake, enabling real-time monitoring of data quality and pipeline performance. You also spend time implementing data governance policies and access control to ensure the security of our data assets. Finally, you participate in a team meeting to discuss upcoming projects and share your insights on how to improve our data infrastructure.

Why Warsaw? A Hub for Tech Talent

Warsaw is a vibrant and growing city that has become a major hub for technology and innovation in Central Europe. With a thriving startup scene and a growing number of international companies establishing offices here, Warsaw offers a wealth of opportunities for tech professionals. The city boasts a highly skilled workforce, a supportive business environment, and a high quality of life.

Choosing a career in Warsaw means joining a dynamic community of talented engineers and data scientists. You'll have access to numerous networking events, workshops, and conferences, allowing you to connect with industry leaders and stay up-to-date on the latest trends. Plus, Warsaw's central location makes it easy to travel to other European cities, allowing you to explore the continent and experience different cultures.

Chart Your Career Path at Snowflake

At Snowflake, we believe in investing in our employees and providing them with opportunities to grow and advance their careers. As a Snowflake Data Engineer, you'll have the chance to develop your skills in a variety of areas, including data modeling, ETL/ELT development, cloud technologies, and AI. You can also pursue certifications and attend training programs to enhance your expertise.

With experience and proven performance, you can advance to senior data engineer roles, leading complex projects and mentoring junior team members. You can also explore opportunities in data architecture, data science, or management, depending on your interests and skills. Snowflake is committed to supporting your career aspirations and helping you achieve your full potential.

Competitive Salary & Benefits

Snowflake offers a competitive salary and benefits package that is designed to attract and retain top talent. In addition to a base salary, you'll be eligible for performance-based bonuses, stock options, and a comprehensive benefits package that includes health insurance, paid time off, retirement plan, and employee assistance programs. We also provide professional development opportunities, wellness programs, and flexible work arrangements to support your well-being and work-life balance.

Embrace Innovation at Snowflake

Snowflake is built on a culture of innovation, collaboration, and customer focus. We encourage our employees to think outside the box, challenge the status quo, and experiment with new technologies. You'll be working alongside talented and passionate individuals who are committed to pushing the boundaries of what's possible with data. We foster a supportive and inclusive environment where everyone feels empowered to contribute their ideas and make a difference.

Ready to Join the Snowflake Team?

If you're a skilled data engineer with a passion for Snowflake and cloud technologies, we encourage you to apply! Submit your resume and cover letter through our online application portal. Be sure to highlight your experience with Snowflake, Python, Streamlit, and cloud platforms. We look forward to hearing from you!

Frequently Asked Questions (FAQ)

  1. What is Snowflake?
  2. Snowflake is a fully managed cloud data platform that enables organizations to store, process, and analyze vast amounts of data.
  3. What are the key responsibilities of a Snowflake Data Engineer?
  4. Key responsibilities include designing and building data pipelines, optimizing performance, implementing data governance, and collaborating with cross-functional teams.
  5. What skills are required for this role?
  6. Required skills include Snowflake, Python, SQL, Streamlit, and experience with cloud platforms like AWS, Azure, or GCP.
  7. What is the career path for a Snowflake Data Engineer?
  8. With experience, you can advance to senior data engineer roles, data architect, data scientist, or management positions.
  9. What is the work environment like at Snowflake?
  10. Snowflake fosters a collaborative, innovative, and fast-paced work environment.
  11. What are the benefits of working at Snowflake?
  12. Benefits include a competitive salary, comprehensive health insurance, paid time off, retirement plan, and stock options.
  13. What kind of projects will I be working on?
  14. You will be working on a variety of projects, including building data pipelines, optimizing data warehouse performance, and developing data visualizations.
  15. How does Snowflake support employee growth and development?
  16. Snowflake provides opportunities for professional development through training programs, certifications, and mentorship.
  17. What is the interview process like?
  18. The interview process typically includes a phone screening, technical interviews, and a final interview with the hiring manager.
  19. What are the opportunities for remote work?
  20. This position is in Warsaw, Poland, and is not remote.

Locations

  • Warsaw, Poland

Salary

0

Skills Required

  • Snowflakeintermediate
  • Data Modelingintermediate
  • ETL/ELT Developmentintermediate
  • Performance Tuningintermediate
  • Pythonintermediate
  • Streamlitintermediate
  • SQLintermediate
  • AWSintermediate
  • Azureintermediate
  • GCPintermediate
  • S3intermediate
  • Redshiftintermediate
  • BigQueryintermediate
  • Data Warehousingintermediate
  • Data Governanceintermediate
  • Security Best Practicesintermediate
  • Data Quality Checksintermediate
  • SLA Monitoringintermediate
  • Dependency Trackingintermediate
  • Gitintermediate
  • Cloud Technologiesintermediate
  • AI Tools (Cursor)intermediate
  • Data Pipelinesintermediate
  • Cost Optimizationintermediate

Required Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or a related field. (experience)
  • Proven hands-on experience with Snowflake, including data modeling, ETL/ELT development, and performance tuning. (experience)
  • Advanced proficiency in Python, with experience scripting and automating data workflows. (experience)
  • Demonstrated experience building Streamlit applications integrated with Snowflake. (experience)
  • Strong command of SQL for complex data querying and analysis. (experience)
  • Familiarity with cloud platforms such as AWS, Azure, or GCP, and services like S3, Redshift, or BigQuery. (experience)
  • Strong problem-solving and communication skills. (experience)
  • Ability to thrive both independently and as part of a collaborative, fast-paced team environment. (experience)
  • Understanding of data warehousing principles, architecture, and best practices. (experience)
  • Experience with version control systems (e.g., Git) (experience)

Responsibilities

  • Design, develop, and maintain scalable data pipelines using Snowflake and cloud technologies.
  • Own and manage cost optimization for Product and Data Science team operations.
  • Optimize pipelines for performance, reliability, and efficiency.
  • Build and maintain dashboards and reporting platforms using Streamlit.
  • Collaborate with cross-functional teams to gather requirements and deliver robust data solutions.
  • Work with modern AI tools, including Cursor, to accelerate development.
  • Implement data governance, security best practices, and access control policies.
  • Develop and enforce data quality checks, SLA monitoring, and dependency tracking.
  • Utilize version control systems (e.g., Git) and manage deployment workflows.
  • Proactively troubleshoot and resolve data-related issues.
  • Build and scale our enterprise data warehouse.
  • Ensure data infrastructure is scalable, reliable and efficient.

Benefits

  • general: Competitive salary and benefits package.
  • general: Opportunities for professional development and growth.
  • general: Collaborative and innovative work environment.
  • general: Impactful work on a cutting-edge data platform.
  • general: Health insurance
  • general: Paid time off
  • general: Retirement plan
  • general: Stock options
  • general: Employee assistance program
  • general: Professional development budget
  • general: Wellness programs
  • general: Flexible work arrangements
  • general: Life insurance
  • general: Disability insurance

Target Your Resume for "High-CTR: Snowflake Data Engineer Careers in Warsaw | Apply Now!" , Snowflake

Get personalized recommendations to optimize your resume specifically for High-CTR: Snowflake Data Engineer Careers in Warsaw | Apply Now!. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "High-CTR: Snowflake Data Engineer Careers in Warsaw | Apply Now!" , Snowflake

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Data EngineeringSnowflakeCloudPythonSQLWarsawPolandSnowflake Data EngineerData Engineer WarsawSnowflake CareersData Engineering JobsCloud Data EngineerETL EngineerData PipelineData ModelingStreamlitAWSAzureGCPData WarehousingBig DataCloud ComputingData GovernanceData SecurityData QualityWarsaw JobsPoland Tech JobsSnowflake PolandProduct and Data ScienceEnterprise Data WarehouseCloud ComputingDataEngineeringSales

Answer 10 quick questions to check your fit for High-CTR: Snowflake Data Engineer Careers in Warsaw | Apply Now! @ Snowflake.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.