General Information

Position
Data Engineer Internship | Deloitte Technology Delivery Center
Work arrangement
Full-time
City
Bucharest
Country
Romania
Department
Deloitte Technology Delivery Center (RO)
Team
Engineering, AI & Data
Area of interest
Consulting, IT - Development, IT - Services
Way of work
Office-based

Description & Requirements

Who we are looking for
What IMPACT will you make?

At Deloitte Technology Delivery Center, you matter and you are empowered as an equal member of our team. From technical training and hackathons to fun offsite events, our Internship Program is where passion meets opportunity. If you’re searching to shape the future in different key areas, then you can stop as you’ve landed in the right place. In a fast-paced highly collaborative client-facing environment, you’ll be able to design, develop, release, and constantly innovate. Our projects allow you to work and learn about the biggest brands in the world.  

Start date: July 2025, 4-month internship
Schedule: Full-time
Note: This is a 4-month full-time paid internship. At the end, the successful internship participants will have the possibility to become full-time employees.

Requirements:
  • Bachelor's degree or Master’s student in Computer science, Data Science, Cybernetics, or a related field;
  • Basic knowledge of databases, SQL, and data modeling (experience is a plus);
  • Basic understanding of Python programming (or similar), including data structures and scripting for data processing (hands-on experience is a plus);
  • Interest in ETL tools (ADF, Talend, SSIS, etc.) and data processing frameworks;
  • Technical mindset, ability to design & build data solutions that fulfill customers’ needs;
  • Excellent communication skills, be able to interact with senior client or internal stakeholders.
Your future role
You will:
  • Engage and learn in real data engineering projects that provide valuable insights and solutions for clients across various industries;
  • Support the development and optimization of data pipelines and workflows using modern cloud and ETL tools;
  • Work with SQL and data modelling techniques to manage and structure data effectively;
  • Use Python to develop, optimize, and automate data processing workflows;
  • Assist in building and maintaining data integration solutions, ensuring seamless connection between different systems;
  • Participate in testing and deployment of data solutions to ensure accuracy and performance;
  • Contribute to documentation of technical processes, solutions, and requirements;
  • Stay up to date with the latest developments and trends in data engineering and cloud technologies.
What we offer
  • Fast-growing opportunity within the Deloitte team with support/coaching from senior colleagues & management;
  • Exposure to cutting-edge data technologies and frameworks, including cloud-based data solutions;
  • Trainings! We encourage you to attend as many as possible and conduct some to help your colleagues grow while developing your soft skills; focus will be, of course, on Data Engineering trainings / resources.
Above all, this internship will be your bridge from academia to consulting — turning your curiosity and drive into real-world results.

Our core value is #opportunity. We believe that real impact comes from collaboration — joining the strengths of our 1000+ colleagues at the heart of our delivery center. We learn, develop, and grow together while enabling our clients to thrive in the digital age. And of course, we know how to have fun — in the office or working remotely.

Let’s imagine, deliver, and run the future of work together!

About Deloitte

Deloitte Technology Delivery Center provides IT technology services to Deloitte Member Firm clients across Europe, the US, the Middle East and Africa. We are part of a strongly integrated global network of Deloitte Delivery Centers. Our methods, breadth and depth in capabilities, and experienced teams uniquely position us to deliver solutions, services and projects that traditionally would have been completed onshore.

We have expertise in multiple capabilities across Business Operations (Systems Delivery & Modernization, Cloud & Engineering, Operations Transformation​), Customer & Marketing (Marketing & Commerce, Digital Customer, Digital Foundry & Operations​), Enterprise Tech & Performance (SAP, ServiceNow, Anaplan​), Human Capital (HR Transformation, Organizational Transformation), and Strategy, Analytics and M&A (Data Modernization & Analytics, AI Insights and Engagement).

#LI-TD1