
Data Engineer
AgileEngine
Kraków, Pl-06, Poland • 35m ago • Remote
Mid
Remote
5,200 - 7,245 USD/yr
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Quick Facts
- Role: Data Engineer
Description
Build and maintain interactive dashboards and data pipelines that analyze large-scale IT infrastructure and asset datasets for internal stakeholders. Use advanced SQL and modern ETL/ELT technologies (PySpark/Databricks/Snowflake) to process massive volumes of data. Partner with customers and engineering teams, and apply GenAI/LLM tools to improve data processing and analytical workflows.
Responsibilities
- Design, build, and maintain interactive dashboards (Power BI or similar) for infrastructure/asset metrics and operational risk.
- Develop, optimize, and maintain robust ETL/ELT data transformation pipelines.
- Engage with customers and engineering teams to identify requirements and resolve complex data challenges.
- Write complex, optimized SQL queries to validate and extract insights from multi-source large-scale databases.
- Evaluate and leverage frontier AI tools to improve data processing workflows and analytical modeling.
- Support data quality and governance through data mappings, transformations, and schema normalization.
Requirements
- At least 4 years in data analytics with quantitative and qualitative analytical skills.
- Advanced, production-grade SQL for complex querying and analytical operations.
- Robust experience building ETL/ELT pipelines using PySpark/Databricks/Snowflake (or equivalent modern cloud stack).
- Hands-on experience with massive enterprise IT infrastructure and asset datasets.
- Dashboarding experience using Power BI (or Tableau/Qlik).
- Excellent oral and written communication skills to lead data-focused discussions independently.
- Practical experience using GenAI tools and LLM framework integrations.
- Upper-intermediate English level.
Benefits
- Professional growth through mentorship, TechTalks, and personalized growth roadmaps.
- Competitive USD-based compensation and budgets for education, fitness, and team activities.
- Opportunity to work on exciting projects with Fortune 500 enterprises and leading product brands.
- Flextime with remote and office options.
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