Data Engineer Internship (m/f/x)

Job Location

MADRID GENERAL OFFICE

Job Description

We are looking for a Data Engineer intern to work in our Multi billion dollars business to help shape the future of the Data Strategy. In this role, you will be responsible for designing and building solutions using various modern Azure components & tools. You will lead delivery of E2E scalable data & analytics applications using outstanding industry standards, actively coding and adapting them to ensure their resiliency and fit to requirements

Responsibilities:

· Craft and build scalable and resilient Data & Analytics solutions in Microsoft Azure – architect technical solutions to obtain, process, store and provide insights based on processed data.

· Develop, within existing designs of various solutions in Microsoft Azure, environments to help generate valuable insights.

· Work on automation and optimization of internal processes in Azure.

· Influence the future of these new technologies and the ways in which P&G uses them.

· Have a possibility to work with multifunctional and multinational teams within and outside of P&G.

· Focus on key business cases development within Data & Analytics + Azure.

· Manage agile projects using cloud and hybrid solutions.

Job Qualifications

Desired:

o Business / Management Information Systems or Software Development, Information Technology.

o Python, Knime and SQL programming skills.

o Cloud Understanding.

o Understanding of data modelling.

o Understanding of CI/CD.

o English proficiency and at least a Bachelor's degree.

o Good understanding of ETL process and some experience in managing different databases.

o Machine Learning

· NICE TO HAVE

· Understanding of Spark framework and distributed architecture features and challenges.

· Experience in implementing projects & solutions using Microsoft Azure stack (eg. Databricks, Azure Data Factory, Azure Analysis Service, SQL Server, Azure Synapse).

· Knowledge of AGILE and DevOps methodologies.

· Hands on experience in writing clean, effective code.

Job Schedule

Full time

Job Number

R000126031

Job Segmentation

Internships (Job Segmentation)