Data Engineering Intern
@ WillHire

Hybrid
€37,440
Hybrid
Intern
Posted 3 hours ago

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Job Details

About WillHire

WillHire is a forward-thinking staffing and talent acquisition platform that helps top organizations discover exceptional talent. We are expanding into the Data Engineering vertical and inviting analytical, detail-oriented, and passionate individuals to join our Data Engineering Internship Cohort.

Role Overview

As a Data Engineering Intern at WillHire you will support our data and infrastructure teams in designing, building, and maintaining scalable data pipelines while gaining hands-on experience with modern data engineering tools, cloud platforms, and big data ecosystems in a fast-growing HR-tech environment.

Key Responsibilities

  • Assist in designing, developing, and maintaining ETL pipelines for structured and unstructured data.
  • Work with databases (SQL/NoSQL) to ensure data accuracy, integrity, and accessibility.
  • Support integration of APIs and third-party data sources.
  • Optimize data storage, transformation, and retrieval for performance and scalability.
  • Contribute to data quality checks, validation processes, and monitoring frameworks.
  • Assist in developing dashboards and reports for business stakeholders.
  • Research new tools, frameworks, and best practices in data engineering & analytics.

Requirements

Candidates should be currently pursuing or have recently completed a degree in Computer Science, Data Engineering, IT or related fields with a strong understanding of databases, SQL, and data modeling concepts. Familiarity with Python, Java or Scala is expected along with basic knowledge of data warehousing, ETL concepts, and data pipelines. Understanding cloud platforms like AWS, GCP or Azure is required, alongside critical thinking and a proactive learning mindset.

Nice to Have (Bonus)

  • Certifications such as AWS Certified Data Engineer, Google Cloud Data Engineer, or Microsoft Azure Data Fundamentals.
  • Experience with big data tools like Hadoop, Spark, or Kafka.
  • Familiarity with data visualization tools like Tableau, Power BI, or Looker.
  • Hands-on experience in API integrations, streaming data, or real-time processing.
  • Participation in data hackathons, Kaggle competitions, or open-source data projects.

What You’ll Get

  • Real-time exposure to data engineering operations within a tech-driven product environment.
  • Hands-on training in ETL, big data, and cloud-based data pipelines.
  • 1:1 mentorship from experienced data professionals and access to exclusive learning resources.
  • Internship Certificate and Letter of Recommendation upon successful completion.
  • Opportunity for a Pre-Placement Offer at WillHire or with client organizations.

Hiring Process

  • Online Application
  • Submission of Resume and a short write-up on your data engineering interests/projects.
  • Data Engineering Aptitude Test featuring MCQ and scenario-based questions on SQL, data pipelines, and fundamentals.
  • Technical Interview focusing on ETL design, databases, and problem-solving.
  • Managerial Interview assessing motivation, culture fit, and communication skills.
  • Offer and Onboarding including stipend details, role expectations, training roadmap, and project kickoff.

Stipend Details

The internship offers a minimum stipend of €18.00 per hour in accordance with EU internship wage guidelines, with the potential for increase based on performance and skill assessment.

Key skills/competency

  • Data Engineering
  • ETL
  • SQL
  • Python
  • Data Pipelines
  • Cloud Platforms
  • NoSQL
  • Big Data
  • APIs
  • Data Quality

How to Get Hired at WillHire

🎯 Tips for Getting Hired

  • Customize Resume: Highlight data engineering projects and relevant skills.
  • Emphasize Certifications: Include any contemporary cloud or big data credentials.
  • Prepare for Tests: Study ETL, SQL, and data pipeline scenarios.
  • Research WillHire: Understand their mission, culture, and recent initiatives.

📝 Interview Preparation Advice

Technical Preparation

Review ETL frameworks and data pipeline design.
Practice SQL queries and NoSQL database operations.
Gain basic cloud services knowledge on AWS or GCP.
Study API integration and performance optimization techniques.

Behavioral Questions

Describe a challenging project and resolution.
Explain your teamwork approach in tight deadlines.
Discuss learning from a mistake during a project.
Share how you manage priorities under pressure.

Frequently Asked Questions