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- Tasks: Design, build, and maintain data pipelines while working with real datasets.
- Company: Join a reputed IT company focused on modern data systems.
- Benefits: Enjoy 1:1 mentorship, internship certificate, and potential stipend based on your contributions.
- Why this job: Gain hands-on experience in data engineering and solve practical infrastructure challenges.
- Qualifications: Basic SQL and Python knowledge; no fancy degree required, just a passion for data.
- Other info: Flexible remote work with a friendly selection process and real-world tasks.
Summer Internship – Data Engineering (Beginner to Intermediate Levels Welcome)
Duration: 3 Months | Remote | Flexible Start
Hiring Partner: HIRIST – IT Recruitment Partner
Client: Reputed IT Company (Name confidential)
Interested in building the backbone that powers modern data systems? Whether you’re just starting out or have some experience with data pipelines — this internship gives you real-world exposure to how data is collected, processed, and delivered at scale.
HIRIST is hiring Data Engineering Interns for a reputed IT client, where you’ll work alongside data engineers solving practical data infrastructure challenges.
What You’ll Work On:- Assist in designing, building, and maintaining data pipelines
- Work with structured and unstructured datasets from real business systems
- Support ETL/ELT processes using SQL, Python, or cloud-based tools
- Learn how to optimize data workflows for reliability and performance
- Help maintain data quality, governance, and documentation standards
- Students or recent grads from computer science, engineering, or data backgrounds
- Learners who enjoy solving problems through data structure, pipelines, and systems
- Beginners with some hands-on experience in SQL, Python, or data handling
- Intermediate learners looking to gain practical skills in building data infrastructure
You don’t need a fancy degree — just the drive to learn, experiment, and build.
Must-Have Skills:- Basic understanding of SQL and Python
- Familiarity with databases (relational or NoSQL)
- Interest in data flow, storage, and processing
- Good logical thinking and attention to detail
- Experience with data pipeline tools like Apache Airflow, DBT, or Kafka
- Knowledge of cloud data services (AWS S3/Glue/Redshift, GCP BigQuery, Azure Data Factory)
- Exposure to Spark, Hadoop, or other big data frameworks
- Personal or academic data engineering projects
- 1:1 mentorship with senior data engineers
- Live experience with production-grade data infrastructure
- Internship Certificate upon completion
- Letter of Recommendation based on performance
- Stipend opportunity based on skill and contribution
- Resume Screening (look for data interest and logical mindset)
- Beginner-friendly Data Engineering Task or quiz
- Friendly Interview with Data Engineering Mentor/Manager
- Final Selection & Onboarding via HIRIST
- Are available for 4–12 weeks
- Can commit 15–20 hours/week remotely
- Want to work on real data engineering tasks (not training simulations)
- Are serious about launching your career in data infrastructure
Ready to Build the Data Backbone? Apply with your resume + any optional GitHub/project portfolio link.
HIRIST – Connecting future builders to real tech teams.
Data Engineering Intern employer: Hirist
Contact Detail:
Hirist Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Intern
✨Tip Number 1
Familiarise yourself with the tools and technologies mentioned in the job description. Even if you don't have extensive experience, showing that you've explored SQL, Python, or data pipeline tools like Apache Airflow can set you apart.
✨Tip Number 2
Engage with online communities or forums related to data engineering. This will not only enhance your knowledge but also help you network with professionals who might provide insights or even referrals for internships.
✨Tip Number 3
Prepare for the friendly interview by brushing up on your logical thinking skills. Practice solving data-related problems or puzzles, as this will demonstrate your analytical mindset to the interviewers.
✨Tip Number 4
If you have any personal or academic projects related to data engineering, be ready to discuss them during the interview. This shows your initiative and passion for the field, making you a more attractive candidate.
We think you need these skills to ace Data Engineering Intern
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences related to data engineering. Emphasise any coursework, projects, or internships that involved SQL, Python, or data handling.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering. Mention specific skills you possess, such as familiarity with databases or interest in data flow, and explain how they align with the internship role.
Showcase Projects: If you have personal or academic projects related to data engineering, include links to your GitHub or project portfolio. This demonstrates your hands-on experience and enthusiasm for the field.
Prepare for the Interview: Research common data engineering concepts and be ready to discuss your understanding of SQL, Python, and data pipelines. Practise explaining your thought process when solving data-related problems.
How to prepare for a job interview at Hirist
✨Show Your Passion for Data
Make sure to express your enthusiasm for data engineering during the interview. Talk about any personal projects or coursework that sparked your interest in data pipelines and processing. This will demonstrate your genuine interest in the field.
✨Brush Up on SQL and Python
Since a basic understanding of SQL and Python is essential, review key concepts and be prepared to discuss how you've used these languages in your studies or projects. You might even be asked to solve a simple problem using them during the interview.
✨Familiarise Yourself with Data Tools
While not mandatory, having some knowledge of data pipeline tools like Apache Airflow or cloud services can set you apart. If you have experience with any relevant tools, be sure to mention it and explain how it relates to the role.
✨Prepare Questions for Your Interviewer
Interviews are a two-way street, so come prepared with thoughtful questions about the internship and the team you'll be working with. This shows your interest in the role and helps you assess if it's the right fit for you.
