Data Engineering Intern
Staffline Solutions
Job Overview
Who's the hiring manager?
Sign up to PitchMeAI to discover the hiring manager's details for this job. We will also write them an intro email for you.
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 learning opportunity 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
- 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 modelling concepts
- Gain hands-on experience with SQL databases, Python, ETL tools, and basic cloud data platforms
- Learn to ensure data quality, reliability, and performance
- Understand data governance, security, and best practices
- Collaborate with mentors and peers through guided projects and reviews
Who This Learning Program Is For
This opportunity is ideal for those interested in learning how data systems are built and managed, curious about transforming raw data into usable insights, and willing to continuously practice, experiment, and improve. Ideal candidates come from Computer Science, Engineering, IT, Mathematics, Statistics, Business, Operations, or Analytics backgrounds. Career switchers with a technical or analytical mindset and basic programming knowledge are also welcome.
What You Will Gain
- Structured, mentor-led Data Engineering upskilling
- Hands-on experience with industry-relevant data projects
- A weekly learning stipend of €20
- 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 technical roles
Key skills/competency
Data Engineering, Python, SQL, Data Pipelines, ETL, Cloud, Data Warehousing, Mentorship, Data Governance, Analytical
How to Get Hired at Staffline Solutions
- Customize your resume: Highlight data engineering and Python skills.
- Study Staffline Solutions: Research company culture and projects.
- Showcase projects: Include real-world data practice examples.
- Prepare technically: Revise SQL, Python, and ETL basics.
Frequently Asked Questions
Find answers to common questions about this job opportunity
Explore similar opportunities that match your background