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Cloud, Data & AI - Data Engineering

PwC

On-site
Zürich
Full-time
Entry
Mid Level
Salary not listedPosted 8h ago

Real job — pulled straight from PwC’s careers page · Verified August 13, 2026 · No reposts.

Job description

PwC is hiring a Cloud, Data & AI - Data Engineering — a full-time, based in Zürich role. Apply directly on PwC's careers page below.

Associate / Senior Associate - Cloud, Data & AI (Data Engineering)

Location: Zürich

Time Type: Full time

Job Description

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Emerging Technologies

Management Level

Associate

Job Description & Summary

At PwC, our people in strategy consulting focus on providing strategic guidance and insights to organisations. They analyse market trends, assess business

Your Impact

  • Collaborate with your team to deliver high-impact projects and engage with senior stakeholders from high-profile clients in industries such as Pharma & Life Sciences, Financial Services, Retail & Consumer, Industrial Manufacturing, and Public Services.
  • Empower your clients to innovatively leverage their data by proposing and developing the most suitable data-driven solutions according to the clients' needs and the availability/properties of their data.
  • Assist your clients in advancing digitization with data pipelines and analyzes of various data sources. The projects you are working on include the technical and analytical development of end-to-end data engineering, analytics, and automation solutions.
  • Challenge the status quo, seek the information you need, understand the challenge at hand, and devise creative and simple solutions.
  • Implement and continue learning best practices in technology, data engineering, analytics, and consulting approaches

Your Skill Set

  • A university degree in fields such as business informatics, computer science, physics, mathematics, or any engineering discipline is preferred.
  • Initial work experience in data engineering, data science, visualization, or analytics (including thesis work) adds value.
  • Proficiency in multiple programming languages like Python, R, SQL, or similar is required.
  • Hands-on experience with Azure, GCP, AWS, or DataBricks is essential.
  • Excellent interpersonal, listening, and communication skills, coupled with a proactive attitude towards delivering client value, are vital.
  • Fluency in English and German and a willingness to travel within Switzerland, and occasionally internationally, are necessary.

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytics Strategy, Architecture Development, Business Architecture, Business Model Innovation, Business Transformation, Cloud Computing, Commercial Strategies, Communication, Digital Customer Experience, Digital Strategies, E-Commerce, Emotional Regulation, Empathy, Implementing Technology, Inclusion, Information Technology Applications, Intellectual Curiosity, IT Governance, Marketing Data Analytics, Optimism, Predictive Modelling, Profitable Growth {+ 6 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

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Frequently asked questions

What skills are required for Cloud, Data & AI - Data Engineering at PwC?

The required skills for Cloud, Data & AI - Data Engineering at PwC include: Python, R, SQL, Azure, GCP, AWS, Databricks, Data Engineering, Data Science.

What is the seniority level for Cloud, Data & AI - Data Engineering at PwC?

Cloud, Data & AI - Data Engineering at PwC is a Entry / Mid Level level position.

How do I apply for Cloud, Data & AI - Data Engineering at PwC?

You can view the full description and apply for Cloud, Data & AI - Data Engineering at PwC on EchoJobs: https://echojobs.io/job/pwc-associate-senior-associate-cloud-data-ai-data-engineering-3a9z1.