How do I apply for the Data Engineer Intern position at Euronext Corporate Solutions and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

What are the working arrangements and expected duration for the Data Engineer Intern role?

This position is a full-time, structured as a not disclosed role, with an expected duration of 3 months.

What educational background or degree level is required for the Data Engineer Intern at Euronext Corporate Solutions?

Candidates are generally expected to be holding or pursuing the following degree levels: Bachelor.

Does Euronext Corporate Solutions provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

Data Engineer Intern

Euronext Corporate Solutions

Found 2 months ago

Location

Milan, Italy

Duration (Months)

3 Months

Time

Full-time

Work Mode

Not disclosed

Salary

Not disclosed

Visa Help

Not disclosed

Last Verified

1 month ago

Education

Bachelor

Skills & Qualifications

Technical Skills

database
ETL tools
AWS GLUE
AWS-based ETL technologies
AWS Lambdas
Java
Python
PowerBI
Tableau

Soft Skills

analytical skills
technical skills
communication skills
planning skills
execution skills
data analysis
data management
problem solving

Job Description

We are looking for a Data Engineer to join the Data & Automation team. The position will be based in Milan. You will report to the Head of Data & Automation. You will be mainly responsible for supporting day-to-day data analysis and data management activities. Utilising analytics and technical skills to assist in building and maintaining data solutions to address business problems. Helping ensure the quality of data communicated to clients and engage in initiatives to implement relevant analysis contents.

Requirements

Basic knowledge of database handling and implementation.
Familiarity with cloud-based technologies.
Understanding of ETL tools.
Basic knowledge of AWS GLUE and other AWS-based ETL technologies.
Familiarity with AWS Lambdas, Java, and Python languages.
Ability to plan and execute basic data management and analytics tasks.
Ability to identify, collect, and analyze data for software development.
Understanding of data visualization tools like PowerBI and Tableau.
Ability to transform raw data into business insights.

Data & Analytics

Data Engineering

Languages

English

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