Data Engineering Intern

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 ⸻ Who Should Apply : This internship is ideal for: • 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 ⸻ Nice-to-Have (But Not Required) : • 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 ⸻ Perks & Benefits : • 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 ⸻ Selection Process : 1. Resume Screening (look for data interest and logical mindset) 2. Beginner-friendly Data Engineering Task or quiz 3. Friendly Interview with Data Engineering Mentor/Manager 4. Final Selection & Onboarding via HiRIST ⸻ Apply If You : • 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.

Location: UK, GB

Posted Date: 5/5/2025