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Data Engineer Intern

mindit.io·Salary not specified

Primary stack

SQLPythonJavaScala

Nice to have's

DatabricksAzureGitPower BI

Job description

About the Position

We are looking for a motivated and curious Data Engineer Intern to join our team and support us in building scalable and reliable data solutions. This internship is a great opportunity to gain hands-on experience in data engineering, work alongside experienced professionals, and contribute to real projects that drive business decisions.

  • Location: Hybrid / Remote
  • Duration: 3-month internship, with the possibility of extension
  • Start Date: End of July 2025
  • Department: Data & Analytics / Engineering

Responsibilities

  • Improve and optimize existing ETL processes and data monitoring systems
  • Support data integration workflows, including ingestion, transformation, and transfer of data across systems
  • Assist in data modeling and schema design with an emphasis on enabling analytics and reporting
  • Contribute to the documentation and automation of data workflows
  • Collaborate with cross-functional teams including analysts, data scientists, and software engineers

Requirements

  • Background in Computer Science, Engineering, Mathematics, or a related field
  • Basic knowledge of SQL and at least one programming language (e.g., Python, Java, or Scala)
  • Familiarity with databases, data structures, and algorithms
  • Interest in data pipelines, cloud platforms (e.g., AWS, Azure, or GCP), and big data tools is a plus
  • Eagerness to learn, strong attention to detail, and a proactive attitude
  • Good communication and collaboration skills
  • Fluency in English (written and spoken)

Nice to Have / Willing to Learn

  • Familiarity with Databricks
  • Exposure to Azure Data Factory, GIT, or similar tools
  • Interest or experience in data visualization using Power BI or Qlik Sense
  • Understanding of data modeling and data warehousing concepts

What You’ll Gain

  • Hands-on experience in a fast-paced, real-world data engineering environment
  • Exposure to modern data tools and technologies
  • Mentorship from experienced professionals
  • Opportunity to work on impactful data projects

About the Company

mindit.io is an AI-driven custom software services company with +280 IT specialists with proven expertise in software & product engineering, artificial intelligence, business intelligence, data analytics & integration services. With offices in Switzerland, Germany and 4 delivery centers in Romania, we cover the entire development cycle from business research, consulting, and architecture to post-implementation testing and maintenance.

Partner of Choice

We put our customers at the center of everything we do, building authentic, trust-based relationships at every level. By deeply understanding their business goals and acting in their best interest, we create long-term partnerships that last. Combining industry know-how with cutting-edge technology, we become the partner our customers rely on when it matters most.

Professional

We always deliver! with discipline and excellence – on time, on budget, on quality. Powered by highly skilled teams, strong engineering practices, and efficient processes, we turn complex challenges into reliable, high-impact outcomes.

Authentic

We take ownership of our work and our growth. Guided by a continuous learning mindset, we strive to become the best version of ourselves – acting with ambition, curiosity, and an extra-mile attitude in everything we do.

Team

We believe our strength lies in moving forward together. Trust, collaboration, and shared accountability enable us to achieve more than we ever could alone. By supporting one another and valuing every contribution, we create an environment where people grow, excel, and deliver real impact. We grow together, we learn together, we build together.

© mindit.io. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

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