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.
Program Overview
This program emphasises learning by doing, where participants gain hands-on exposure to modern data systems while working on business-aligned projects. Whether you are a graduate, a working professional exploring a career shift, or someone eager to build future-ready technical skills, this opportunity provides guided learning and real project experience to help you grow with confidence.
What You Will Learn & Practice
- Build a strong foundation in Python and SQL for data engineering.
- Design, build, and manage data pipelines.
- Extract, transform, and load data using ETL/ELT processes.
- Work with structured and semi-structured data from multiple sources.
- Understand data warehousing and data modelling concepts.
- Gain hands-on experience with SQL databases, Python, ETL tools, workflow orchestration, and introductory cloud data platforms.
- Ensure data quality, reliability, and performance while learning data governance and security best practices.
- Collaborate with mentors and peers through guided projects and reviews.
Who This Learning Program Is For
This opportunity is ideal for individuals interested in learning how data systems are built and managed, curious about transforming raw data into reliable information, and willing to practice and improve consistently. It is suitable for those from Computer Science/Engineering, IT/Information Systems, Mathematics/Statistics, Business/Operations/Analytics, career switchers with a technical or analytical mindset, and anyone comfortable with basic programming concepts or eager to learn them.
What You Will Gain From This Learning Experience
- Structured, mentor-led Data Engineering upskilling.
- Hands-on learning through practical, industry-relevant data projects.
- A weekly learning stipend of €20 during the engagement period.
- Improved technical, logical, and system-thinking skills.
- Exposure to modern data platforms in real business environments.
- Learning documentation and certification (as applicable).
- Increased confidence and career readiness for data-focused technical roles.
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. This program is about building technical confidence, system understanding, and a practical foundation crucial for long-term growth in data-centric careers.
Key skills/competency
Data Engineering, Python, SQL, ETL, pipelines, data warehousing, data modelling, cloud, data governance, mentorship
How to Get Hired at Staffline Solutions
- Research Staffline Solutions: Understand their mission and mentor culture.
- Customize your resume: Highlight technical projects and learning experiences.
- Show passion for data: Detail your interest in data systems.
- Prepare for technical interviews: Brush up on Python and SQL fundamentals.
- Network online: Connect with current interns and mentors.
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