🌍 Work model: hybrid from the office in Warsaw (3 days/week).⚙️ Industry: Banking and finances.📑 Assignment type: B2B or UoP (we are open to your financial expectations).⏳ Project length: 12 months + possibility to extend to 2 years.📕 Project language: English.💻Workload: Full time⚙️Recruitment process: 1 interview with the client.Summary: This role focuses on data engineering, aiming to support data enablement across various business areas through modern cloud technologies.Main Responsibilities: Design, develop, and implement data solutions for Banking, Property Finance, and Group Functions. Lead data platform migration from legacy Oracle & Informatica to Azure. Work closely with Data Analysts and other Data Teams to ensure cohesive data integration. Optimize performance of data processes and solutions. Engage in the development and execution of ETL/ELT processes. Key Requirements: 5-8 years in a Data Engineer/ETL Developer role. Experience with Microsoft Azure. Proficiency in SQL. Competency in Python/PySpark or Spark & Python. Familiarity with Linux/Unix environments and shell scripting. Understanding of Data Warehousing concepts (Star Schema/Snowflake, Kimball modeling). Nice to Have: Experience in performance tuning. Passion for Data Analytics, Business Intelligence, and AI solutions. Eagerness to learn new technologies quickly. Strong attention to detail. Other Details:Team Structure: 11 Data Engineers, collaboration with Data Analysts from Denmark.