Senior Data Engineer at Snowflake: Warsaw, Poland

Role Overview

As a Senior Data Engineer at Snowflake in Warsaw, you will be at the heart of building and optimizing our data infrastructure. This role is crucial for ensuring that our data pipelines are scalable, reliable, and efficient. You will work closely with product and data scientists, providing them with the tools and automation they need to drive innovation and improve data quality across our organization. Your expertise will be pivotal in cost optimization, efficient data modeling, and scaling our enterprise data warehouse. You will be instrumental in shaping the future of our data ecosystem, making data-driven decisions easier and more impactful.

Day in the Life

Here’s a glimpse into what your typical day might look like:

• Morning: Start by reviewing the performance of existing data pipelines and identifying areas for optimization. You might work on tuning SQL queries or adjusting data models to improve efficiency.
• Mid-day: Collaborate with data scientists and product managers to understand their data requirements for new projects. You will design and develop new data pipelines to meet these needs, ensuring they are robust and scalable.
• Afternoon: Focus on implementing data governance and security best practices. You might work on defining data quality checks, setting up SLA monitoring, or implementing access control policies.
• Late Afternoon: Participate in team meetings to discuss progress, address challenges, and plan for future projects. You might also spend time exploring new AI tools and technologies to accelerate development and improve data workflows.

Why Warsaw?

Warsaw is a vibrant and growing tech hub in Central Europe, offering a unique blend of cultural heritage and modern innovation. Snowflake’s presence in Warsaw provides an opportunity to work with a diverse team of talented professionals in a dynamic and supportive environment. The city boasts a high quality of life, affordable living costs, and excellent transportation infrastructure. Working in Warsaw also offers the chance to explore other European cities and cultures, making it an ideal location for personal and professional growth.

Career Path

At Snowflake, we are committed to fostering the growth of our employees. As a Senior Data Engineer, you will have opportunities to advance your career in several directions:

• Principal Data Engineer: Lead complex data engineering projects, mentor junior engineers, and drive innovation in data technologies.
• Data Architect: Design and implement enterprise-level data architectures, ensuring scalability, security, and compliance.
• Engineering Manager: Lead a team of data engineers, providing technical guidance, performance management, and career development opportunities.
• Technical Lead: Focus on specific technologies or platforms, becoming a subject matter expert and driving best practices across the organization.

Salary & Benefits

Snowflake offers a competitive salary and benefits package to attract and retain top talent. The salary range for a Senior Data Engineer in Warsaw typically falls between $80,000 and $150,000 USD per year, depending on experience and qualifications. In addition to salary, we offer:

• Comprehensive health, dental, and vision insurance plans.
• Generous paid time off and holidays.
• Retirement savings plan with company match.
• Employee stock purchase program.
• Professional development and training opportunities.
• Wellness programs and resources.
• Employee assistance program.
• Flexible work arrangements.
• Paid parental leave.
• Commuter benefits.
• Employee referral program.
• Life insurance and disability coverage.
• Opportunities for career advancement.
• A collaborative and inclusive work environment.

Innovation Culture

Snowflake is built on a culture of innovation, collaboration, and impact. We encourage our employees to think big, move fast, and take technology to the next level. As a Senior Data Engineer, you will have the opportunity to work on cutting-edge technologies, contribute to groundbreaking projects, and make a real difference in the way organizations use data. We foster a culture of continuous learning, providing our employees with the resources and support they need to grow and excel.

How to Apply

If you are a skilled and passionate Data Engineer looking for a challenging and rewarding opportunity, we encourage you to apply. To apply for the Senior Data Engineer position in Warsaw, please follow these steps:

1. Visit the Snowflake Careers page.
2. Search for the Senior Data Engineer position in Warsaw.
3. Review the job description and qualifications.
4. Click the “Apply Now” button.
5. Fill out the online application form, including your resume and cover letter.
6. Submit your application.

FAQ

1. What are the key responsibilities of a Senior Data Engineer at Snowflake? Designing, developing, and maintaining scalable data pipelines; cost optimization; optimizing pipeline performance; building and maintaining dashboards; collaborating with cross-functional teams; implementing data governance and security.
2. What qualifications are required for this role? Bachelor’s degree in Computer Science, Engineering, or a related field; experience with Snowflake, Python, Streamlit, and SQL; familiarity with cloud platforms like AWS, Azure, or GCP; strong problem-solving and communication skills.
3. What is the salary range for a Senior Data Engineer in Warsaw? The salary range is typically between $80,000 and $150,000 USD per year, depending on experience and qualifications.
4. What benefits does Snowflake offer to its employees? Comprehensive health insurance, paid time off, retirement savings plan, employee stock purchase program, professional development opportunities, and more.
5. What is the work environment like at Snowflake? A collaborative and inclusive environment that encourages innovation, continuous learning, and personal growth.
6. What career development opportunities are available for Data Engineers at Snowflake? Opportunities to advance to roles such as Principal Data Engineer, Data Architect, Engineering Manager, and Technical Lead.
7. What technologies will I be working with in this role? Snowflake, Python, Streamlit, SQL, AWS, Azure, GCP, and modern AI tools like Cursor.
8. How does Snowflake support employee well-being? Through wellness programs, employee assistance programs, flexible work arrangements, and paid parental leave.
9. What is Snowflake's approach to data governance and security? Implementing data governance, security best practices, and access control policies to ensure data integrity and compliance.
10. What is the interview process like for this position? The interview process typically includes a phone screening, technical interviews, and a final interview with the hiring manager.