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- Tasks: Design, build, and maintain data pipelines while working with real business datasets.
- Company: Join a reputed IT company through HIRIST, a leading IT recruitment partner.
- 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: Ideal for students or recent grads with basic SQL and Python knowledge.
- Other info: Flexible remote work for 15-20 hours/week over 3 months.
Summer Internship – Data Engineering (Beginner to Intermediate Levels Welcome)
Duration: 3 Months | Remote | Flexible Start
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.
Data Engineer, English speaking employer: Hirist
Contact Detail:
Hirist Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer, English speaking
✨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 cloud services like AWS 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 referrals for internships.
✨Tip Number 3
Prepare for the friendly interview by brushing up on your logical thinking skills. Practising problem-solving questions related to data structures and pipelines can give you a confidence boost.
✨Tip Number 4
If you have any personal or academic projects related to data engineering, be ready to discuss them. Highlighting your hands-on experience, even if it's minimal, shows your enthusiasm and commitment to learning.
We think you need these skills to ace Data Engineer, English speaking
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights any relevant experience with SQL, Python, or data handling. Include any academic projects or personal initiatives related to data engineering to showcase your skills.
Craft a Compelling Cover Letter: Write a cover letter that expresses your enthusiasm for data engineering and the specific internship. Mention how your background aligns with the responsibilities outlined in the job description and your eagerness to learn.
Showcase Your Projects: If you have a GitHub or project portfolio, include it in your application. Highlight any data engineering projects you've worked on, even if they were part of your studies, to demonstrate your practical skills.
Prepare for the Interview: Anticipate questions about your understanding of data pipelines and your problem-solving approach. Be ready to discuss any relevant coursework or projects, and express your willingness to learn from experienced mentors.
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 motivation to learn and grow in this 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 them. You might be asked to solve a simple problem or explain how you would approach a data task using these languages, so practice coding examples beforehand.
✨Familiarise Yourself with Data Tools
Even if you don't have extensive experience, showing familiarity with tools like Apache Airflow, DBT, or cloud services can set you apart. Research these tools and be ready to discuss how they fit into the data engineering landscape, as well as any relevant coursework or projects you've completed.
✨Prepare Questions for Your Interviewer
Interviews are a two-way street, so prepare thoughtful questions to ask your interviewer. Inquire about the team dynamics, the types of projects you'll be working on, or how mentorship is structured. This shows your interest in the role and helps you assess if it's the right fit for you.
