Retour

AI & Data Analytics Intern

Date de publication : 03/12/2024

Requisition ID : 38761


Our Group is a global reference in low-carbon energy and services. Together with our 96.000 employees, our customers, partners and stakeholders, we are committed to accelerating the transition to a carbon neutral economy through reduced energy consumption and more environmentally friendly solutions.

 

Are you passionate about data and looking to jumpstart your career in analytics and artificial intelligence?

  • Join our dynamic Madrid team as an AI & Data Analytics Intern and gain hands-on experience leveraging data to drive meaningful insights and decision-making.

 

Mission

  • This role will provide you with a comprehensive understanding of the full data lifecycle, from ETL processes to visualization, while allowing you to actively contribute to critical projects and improve existing systems.

 

 

As AI & Data Analytics intern, your main responsibilities will involve:

  • Documentation: Assist in documenting processes to ensure clarity and consistency across projects.
  • Database Normalization: Work on optimizing and structuring databases following the ENGIE Spain standards
  • Process Standardization: Help establish and maintain standardized workflows and procedures.
  • SQL Query and View Unification: Collaborate on consolidating and improving SQL queries and views for better performance and maintainability.
  • Full Data Stack Support: Support the entire data lifecycle, from ETL processes to dashboard development in Power BI.
  • Idea Generation: Actively propose and develop innovative ideas to improve processes and solutions. All suggestions will be welcomed and evaluated!

 

We imagine that you:

  • Are Data driven and interested in renewables
  • Enjoy handling data and tools to extract actionable insights.
  • Are proficiency in Python, SQL, and Power BI.
  • Are about to finish a top numerical degree/master (in Computer Science, Information Technology, Physics, Maths, Business Analytics, Engineering Degree, Economics or Statistics)
  • Are fluent in English → C1.

 

Competencies required for the job position

  1. Excellent critical thinking skills
  2. Strong analytical & problem-solving skills
  3. Strong time-management skills
  4. Detail oriented and highly organized
  5. Communication skills
  6. Teamwork culture
  7. Skilled in negotiation
  8. Customer Success Oriented

 

Committed to inclusion

At ENGIE we value and encourage diversity and inclusion. We are committed to accelerating the transition to a carbon-neutral economy achieved by integrating exceptional and diverse individuals that seek, support, and strengthen each other’s growth.

 

What We Offer

  • Paid internships lasting 6 months to 1 year.
  • Full-time schedule: Monday to Thursday (full day) and Friday (reduced hours). // Summer reduced schedule from Monday to Friday during July and August.
  • Hybrid work model (50% remote) after the first three months.
  • Professional growth and future career opportunities.
  • A chance to gain experience in a growing and continuously evolving organization.
  • A dynamic, professional, and positive work environment.
  • Integration into a highly qualified team.
  • State-of-the-art office facilities.
  • Discounted membership for the on-site gym.
  • “Chill Out” zones.

 

ENGIE is the answer if...

- You are looking for a solid professional project with professional projection.

- You value being part of the first independent energy group in the world.

- You want to grow and develop within a dynamic and challenging company.

- If you consider that your work, together with the efforts of the people who are part of the company, can and should have a positive impact on the environment.

 

If you want to be part of an international group, able to offer a wide variety of jobs in a dynamic and promising sector, we are waiting for you!

 

 

 

 

#LI-DNI

ID de l'offre d'emploi
38761
Organisation
Langue sur SAP SF
en_US
Niveau d'expérience
Pays
Job Contract
Job City
Job Posting Date
job_division_level_one
job_mapped_organization