Support Data Engineer

Cloudfide builds cloud-native data platforms, processes massive datasets, and supports clients from the Fortune 500 and global retail leaders. The role involves working with modern cloud technologies and gaining real technical experience in Big Data, analytics, and cloud environments.

• Active student status (IT-related studies preferred).
• No commercial experience required.
• Working knowledge of Python to write basic scripts and perform data transformations.
• Working knowledge of SQL, comfortable with queries, joins, and aggregations.
• Student in Computer Science, Data Science, Applied Mathematics, Informatics, or a similar field.
• Interest in cloud technologies, data engineering, or Big Data systems.
• Eagerness to learn, ask questions, and grow in a fast-paced tech environment.
• Analytical mindset and problem-solving attitude.

Nice to have:

• Participation in student tech groups, hackathons, coding communities, or research circles.
• Exposure to Azure, Databricks, Spark, or ETL concepts from university projects.
• Familiarity with scripting, version control, or cloud basics.

• Supporting engineering teams with day-to-day technical and operational tasks.
• Assisting with monitoring, debugging, and validating cloud data pipelines.
• Using Python and SQL for data processing, cleaning, and analysis.
• Helping document workflows and implement small improvements.
• Collaborating with mid and senior engineers to understand requirements and deliver simple solutions.
• Learning modern tools such as Azure, Databricks, Spark, orchestration, and CI/CD.
• Gradually taking on more advanced tasks as skills grow.

Mandatory requirement: Active student status. Cloudfide is an Equal Opportunity Employer committed to diversity and inclusion.