Data Engineer

Experience: 5+ years
Industry: Banking & Finance
Location: Hybrid from Wrocław, Poland (3 days per week in the office)
Start Date: ASAP
 

Technical Requirements

Must-have:

• 5+ years of commercial experience
• 2+ years as a Data Engineer
• Advanced proficiency in SQL, Python, and Spark/PySpark
• Hands-on experience with Data Modelling
• Strong understanding of Data Warehousing, Data Lakes, and Data Lakehouses
• Experience with Cloud Data Engineering tools (Azure-focused)

Nice-to-have:

• Experience with Snowflake and Databricks
• Familiarity with BI tools

Required Technical Skills:

• Data Engineering
• Python
• PySpark / Spark
• Cloud (Microsoft Azure)

Preferred Technical Skills:

• Snowflake
• Databricks

Key Responsibilities:

• Develop, implement, test, and deploy data processing systems to support AI initiatives
• Design and maintain ETL processes
• Optimize data structures for better visualization and analysis
• Analyze, refine, and implement business and technical requirements
• Integrate new data sources and develop cloud-based data pipelines, warehouses, and models/products

Let me know if you'd like any adjustments! 🚀