Data & AI Cloud Engineer — Associate / Senior Associate

PwC Switzerland; Zürich; Vor Ort; CHF 110.000 - 150.000; Vollzeit

Zusammenfassung

PwC Switzerland is seeking an Associate/Senior Associate to join the Cloud, Data & AI (CD&AI) Data Engineering team. You will collaborate with clients across Pharma & Life Sciences, Financial Services, Retail & Consumer, Industrial Manufacturing, and Public Services to design and implement data-driven solutions.

You will engineer end-to-end data pipelines and analytics, applying best practices in technology and consulting while growing your data engineering expertise in a dynamic environment.

Qualifikationen

• University degree in fields such as business informatics, computer science, physics, mathematics, or engineering is preferred.
• Initial work experience in data engineering, data science, visualization, or analytics adds value.
• Proficiency in Python, R, SQL (multiple languages) is required.
• Hands-on experience with cloud platforms (Azure, GCP, AWS) and Databricks is essential.

Aufgaben

• Collaborate with the team to deliver high-impact data engineering projects for senior stakeholders across industries.
• Propose and develop data-driven solutions tailored to client data availability and properties.
• Advance digitization through data pipelines and analyses of diverse data sources.
• Learn and apply best practices in technology, data engineering, analytics, and consulting.

Kenntnisse

Python

R

SQL

Communication

Ausbildung

University degree in Business Informatics / Computer Science / Physics / Mathematics / Engineering

Tools

Azure

GCP

AWS

Databricks

Jobbeschreibung

PwC Switzerland is seeking an Associate/Senior Associate to join the Cloud, Data & AI (CD&AI) Data Engineering team. You will collaborate with clients across Pharma & Life Sciences, Financial Services, Retail & Consumer, Industrial Manufacturing, and Public Services to design and implement data-driven solutions.

You will engineer end-to-end data pipelines and analytics, applying best practices in technology and consulting while growing your data engineering expertise in a dynamic environment.