Data Engineering Intern
Staffline Solutions
Job Overview
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Job Description
About the Opportunity
At Staffline Solutions, we believe strong data systems power strong decisions. This Data Engineering Intern opportunity is designed for individuals who want to build, strengthen, or transition into data engineering skills by working on real-world data pipelines and infrastructure challenges.
What You’ll Learn & Work On
- Understand the end-to-end data lifecycle, from ingestion to consumption
- Build and maintain data pipelines using Python and SQL
- Work with ETL / ELT processes to move and transform data efficiently
- Learn data modelling and database design (relational and basic NoSQL concepts)
- Gain exposure to cloud-based data platforms and storage solutions
- Work with tools such as Apache Airflow, Spark (basics), and data warehouses
- Implement data quality, validation, and monitoring practices
- Collaborate with mentors on real business use cases used by analytics and data science teams
Who This Is For
Individuals who are curious about data flows, interested in backend systems, databases, and large-scale data handling. Suitable for those with backgrounds in Computer Science, IT, Engineering, Data Analytics or Data Science aspirants, and professionals aiming to transition into Data Engineering. Basic programming knowledge or a willingness to learn quickly is essential.
What You’ll Gain
- Structured Data Engineering upskilling and mentorship
- Hands-on experience with real, production-style data workflows
- A weekly stipend of C$18 throughout the engagement
- Strong foundations in data pipelines, cloud concepts, and databases
- Exposure to engineering teams supporting analytics and business intelligence
- Certification/learning documentation as applicable
- Improved career readiness for roles including Data Engineer, Analytics Engineer, or BI Engineer
Our Approach
At Staffline Solutions, we take learning seriously without making it overwhelming. We build skills through practice, value ethical and supportive learning environments, and focus on long-term career outcomes.
Key skills/competency
- Data Engineering
- Data Pipelines
- Python
- SQL
- ETL
- Data Modelling
- NoSQL
- Cloud Platforms
- Apache Airflow
- Spark
How to Get Hired at Staffline Solutions
- Customize your resume: Highlight data engineering projects and skills.
- Research Staffline Solutions: Understand their mission and culture.
- Emphasize technical skills: Focus on Python, SQL, and ETL experience.
- Prepare for case studies: Expect real-world data workflow questions.
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