Data Engineer: Build Scalable Pipelines for ML-Ready Data

Procter & Gamble; Roma; Sur place; EUR 25 000 - 35 000; Plein temps

Avantages offerts par ce poste

Ownership of projects from day one

Continuous coaching and mentoring

Dynamic work environment

Attractive remuneration package

Résumé du poste

Procter & Gamble in Rome is seeking a Data Engineer to develop and maintain data pipelines, collaborate with Data Scientists, and support key Market Operations. Candidates should be penultimate or final year students in fields such as Statistics or Data Science.

The role offers ownership of projects from day one, along with mentoring and training opportunities in a dynamic work environment. Ideal candidates have a strong academic background and familiarity with analytical tools like Python and Power BI.

Qualifications

• Final year student in a quantitative field such as Data Science or Computer Science.
• Demonstrated leadership in applying analytic techniques.
• Good knowledge of English.

Responsabilités

• Develop and maintain scalable data pipelines.
• Collaborate with Data Scientists to develop machine learning models.
• Evaluate tools and develop pipelines for data integration.

Connaissances

Statistical analysis

Machine learning techniques

Data visualization

Python

SQL

Formation

Degree in Statistics, Applied Mathematics, Economics, or similar

Outils

Power BI

Hadoop

Spark

Microsoft Azure

Description du poste

Procter & Gamble in Rome is seeking a Data Engineer to develop and maintain data pipelines, collaborate with Data Scientists, and support key Market Operations. Candidates should be penultimate or final year students in fields such as Statistics or Data Science.

The role offers ownership of projects from day one, along with mentoring and training opportunities in a dynamic work environment. Ideal candidates have a strong academic background and familiarity with analytical tools like Python and Power BI.