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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

2Open Positions

Auto-load
  • Stage Data Engineer

    Sky
    Milan, Italy
    Found 2 days ago
  • Site Reliability Engineer – Fintech

    Quant Capital
    Wimbledon, United Kingdom
    Found 2 months ago
  • Site Reliability Engineer Intern

    Criteo
    Paris, France
    Found 3 months ago

Stage Data Engineer

Sky
Found 2 days ago
Location
Milan, Italy
Time
Full-time
Work Mode
On-site
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
2 days ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • Python
  • SQL
  • Google Cloud Platform (GCP)
  • BigQuery
  • managed Airflow

Soft Skills

  • Problem-solving
  • collaboration
  • curious
  • adaptable

Job Description

Our Data Engineering team builds highly intuitive data solutions that underpin business functions across Sales, Marketing, Finance and Operations. We are looking for a Data Engineer Intern who are passionate about learning how to build structured, high-quality data pipelines. You will work closely with experienced data engineers, gaining exposure to Python, SQL, and Google Cloud Platform (GCP) tools such as BigQuery and managed Airflow, while learning how large-scale data systems operate in a modern digital environment. What you’ll do Support the development and maintenance of batch and real-time data processing pipelines using Python, SQL, and cloud technologies Collaborate with data engineers, data scientists, software engineers to understand data requirements and assist in delivering meaningful data solutions Participate in improving data quality by assisting with testing, validation, documentation, and basic performance checks Help conduct exploratory investigations and root-cause analyses on data issues under the guidance of senior team members Learn and apply software engineering best practices , including version control, code reviews, and continuous integration workflows

Requirements

  • Currently pursuing or recently completed a BSc in Computer Science, Mathematics, Engineering, or a related quantitative field
  • Foundational knowledge of Python and SQL (coursework or personal projects acceptable)
  • Basic understanding of databases and data processing concepts
  • Strong analytical and problem-solving skills
  • Proficiency in Englis h

Related Field

  • Data & Analytics

Related Subfield

  • Data Engineering

Languages

  • English

Nice to Haves

  • GCP, AWS, or Azure
  • Apache Beam, Apache Spark
  • large-scale data systems
  • modern pipeline architectures
▶Apply Now

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