Data Engineering Intern
Staffline Solutions
Job Overview
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Job Description
About the Learning Opportunity
At Staffline Solutions, we believe strong technical careers are built through structured learning and real-world practice. This Data Engineering Intern program is designed for individuals who want to build, strengthen, or transition into Data Engineering by developing practical skills in a supportive, mentor-led environment.
What You Will Learn & Practice
As part of this structured Data Engineering learning engagement, you will:
- Build a strong foundation in Python and SQL for data engineering
- Design, build, and manage data pipelines
- Practice extracting, transforming, and loading data using ETL/ELT processes
- Work with structured and semi-structured data from multiple sources
- Understand data warehousing and data modeling concepts
- Gain hands-on experience with SQL databases, Python for data processing, and ETL tools
- Obtain introductory exposure to cloud data platforms
- Learn to ensure data quality, reliability, and performance
- Understand basic data governance, security, and best practices
- Collaborate with mentors and peers on guided projects and reviews
Who This Learning Program Is For
This opportunity is ideal for individuals who are interested in learning how data systems are built and managed, curious about turning raw data into reliable information, and willing to practice, experiment, and improve. It is suitable for graduates, working professionals, and career switchers with a technical or analytical mindset, comfortable with basic programming concepts or ready to learn from scratch.
What You Will Gain From This Learning Experience
By joining this program, you will receive structured, mentor-led Data Engineering upskilling, hands-on learning through practical projects, a weekly learning stipend of €20, improved technical and logical skills, and exposure to modern data platforms. Additionally, you may receive learning documentation or certification to boost your career readiness.
Our Learning Philosophy
At Staffline Solutions, we believe that strong technical skills are built through practice, guidance, and repetition; that learning is most effective when applied to real systems and real data; and that confidence grows through structured feedback and mentorship.
Key skills/competency
- Python
- SQL
- ETL
- Data Pipelines
- Data Modeling
- Data Warehousing
- Cloud Platforms
- Data Quality
- Mentorship
- Structured Learning
How to Get Hired at Staffline Solutions
- Research Staffline Solutions' culture: Study their mission, values, and employee reviews.
- Customize your resume: Highlight Python, SQL, and data projects.
- Emphasize project work: Detail any hands-on data experience.
- Prepare for interviews: Review technical questions and learning mindset examples.
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