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Senior Data Engineer
Data

Senior Data Engineer

Rzeszów
Type of work
Full-time
Experience
Senior
Employment Type
B2B
Operating mode
Remote

Tech stack

    DBT

    advanced

    Snowflake

    advanced

    Python

    advanced

    Cloud Platforms

    regular

Job description

Online interview

Are you a skilled data engineer ready to tackle complex challenges and build cutting-edge data solutions?

Join our team as a Senior Data Engineer, where you will leverage your expertise in Snowflake, data pipelines, and analytics to enable data-driven decision-making across our organization.


This position offers the opportunity to work on diverse projects involving advanced data platforms, robust analytics, and scalable engineering solutions.


Key Responsibilities

  • Snowflake Expertise:
  • Design, develop, and optimize data solutions using Snowflake.
  • Leverage advanced SQL features and Snowflake scripting to ensure high performance and scalability.
  • Collaborate with teams to integrate Snowflake with other tools and platforms.
  • Data Pipeline Development:
  • Create, maintain, and optimize data pipelines using SQL, dbt, and other tools.
  • Build scalable ETL/ELT workflows and automate data processes.
  • Assemble and transform large, complex datasets to meet business needs.
  • Analytics and Insights:
  • Model data transformations to deliver actionable insights and support business intelligence.
  • Implement data validation frameworks to ensure data quality and reliability.
  • Develop analytics tools to optimize operational efficiency and performance metrics.
  • Collaboration and Stakeholder Engagement:
  • Work with cross-functional teams to define requirements and deliver data solutions.
  • Provide technical support for data infrastructure and analytics tools.


Preferred Skills and Qualifications

  • Technical Skills:
  • Advanced knowledge of Snowflake and SQL.
  • Proficiency in dbt and data modeling concepts.
  • Strong Python skills, including scripting for automation and analytics.
  • Familiarity with cloud platforms such as AWS (Redshift, Lambda, S3) or similar (GCP, Azure).
  • Experience with DevOps/DataOps tools (Git, Docker, Terraform, CI/CD pipelines).
  • Best Practices and Methodologies:
  • Strong understanding of data warehousing and distributed data systems.
  • Knowledge of data serialization formats (e.g., JSON, XML, YAML).
  • Experience with data governance, data quality, and workflow management.
  • Soft Skills:
  • Analytical and problem-solving mindset.
  • Excellent communication and collaboration skills.
  • A proactive and ownership-oriented approach to work.


What We Offer

  • Opportunity to work on high-impact, large-scale data projects.
  • Collaboration with talented professionals in an innovative and dynamic environment.
  • Continuous learning and professional development opportunities.
  • Competitive salary and comprehensive benefits package.