Design, build, and maintain robust ETL/ELT processes to ensure smooth and reliable data flow across systems.
Develop scalable, efficient data models and architect storage solutions that support analytical and operational needs.
Integrate diverse data sources—including APIs, databases, and cloud services—for seamless and automated data ingestion.
Optimize database structures and fine-tune queries to maximize data processing performance and efficiency.
Implement data validation, cleansing, and monitoring practices to uphold high standards of data accuracy, consistency, and reliability.
Manage and optimize data infrastructure, including data warehouses, data lakes, and cloud-based storage environments.
Establish monitoring systems, logging, and alert mechanisms to ensure system reliability and quickly address data-related issues.

Bachelor’s or master’s degree in information technology or comparable.
More than 4 years of professional experience in the area of Data Engineering and Modelling
Professional experience in Microsoft Azure (e.g. Data Factory) and in Databricks; familiarity with PowerBI Service is an advantage
Strong skills in SQL and Python, with an object-oriented programming mindset.
Proficient in GitHub, including version control, CI/CD workflows, and collaborative development.
Experience with Microsoft Business Intelligence on-premise technologies (e.g., SSIS, SSRS, SSAS) is an advantage.

Data Engineer – COT

Key skills