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PwC

Manager / Senior Manager - Cloud, Data & AI (CD&AI) - Data Engineering

PwC is hiring a Manager / Senior Manager - Cloud, Data & AI (CD&AI) - Data Engineering in Zurich, Switzerland. Level rates it ; you can apply on PwC.

Level's read on this job

  • Uses AI ●●○○ is how Level rates this data engineer role: an ordinary role that requires AI tools.
  • The posting mentions visa sponsorship.
  • The posting mentions Python, R and SQL among its tools and skills.
  • Level classes it as a lead role.
  • PwC has 3,700+ other open roles on Level.

AI in this role

Lead client engagements delivering end-to-end data engineering, cloud, and AI solutions across various industries.

PythonRSQL
data-engineeringcloud-computinganalyticsconsultingarchitecture-development

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Emerging Technologies

Management Level

Senior Manager

Job Description & Summary

Your Impact

  • Collaborate with your team to source high-impact projects and engage with senior stakeholders from high-profile clients in diverse industries such as Pharma & Life Sciences, Financial Services, Retail & Consumer, Industrial Products, and Public Services.
  • Empower your clients to innovatively leverage their data by proposing holistic end-to-end solutions, ensuring successful delivery and value generation in alignment with their specific needs.
  • Facilitate your clients' advancement in digitization by gathering their requirements and proposing state-of-the-art solutions.
  • Challenge the status quo, actively seek necessary information, comprehend the challenges, and communicate your ideas clearly to senior stakeholders.
  • Implement and continuously expand your knowledge of best practices in technology, data engineering, analytics, and consulting approach.

Your Skill Set

  • A university degree in fields such as business informatics, computer science, physics, mathematics, or any engineering discipline is preferred.
  • Over 7 years of work experience focused on data engineering, analytics, or data science, with consulting experience considered a bonus.
  • Experience in sourcing, preparing, and delivering end-to-end solutions to internal or external clients is crucial.
  • Proficiency in multiple programming languages such as Python, R, SQL, or similar is required.
  • Experience in developing and deploying data engineering or AI applications is advantageous.
  • Fluency in English and German, with a willingness to travel within Switzerland and occasionally internationally; French language skills are considered a plus.

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, Analytical Thinking, Analytics Strategy, Architecture Development, Business Architecture, Business Model Innovation, Business Transformation, Cloud Computing, Coaching and Feedback, Commercial Strategies, Communication, Creativity, Digital Customer Experience, Digital Strategies, E-Commerce, Embracing Change, Emotional Regulation, Empathy, Implementing Technology, Inclusion, Influence, Information Technology Applications, Intellectual Curiosity {+ 19 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

How we rate this

Manager / Senior Manager - Cloud, Data & AI (CD&AI) - Data Engineering at PwC rates 50 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data EngineeringCloud ComputingAnalyticsConsultingArchitecture DevelopmentPythonRSQL

Also common in data engineer jobs at this level

Pay

Typical data engineer job
$145k

This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs

Questions you could be asked

  1. Tell me about a project where data engineering was part of your work. What did you do?
  2. Tell me about a project where cloud computing was part of your work. What did you do?
  3. Tell me about a project where analytics was part of your work. What did you do?
  4. Tell me about a project where consulting was part of your work. What did you do?
  5. Tell me about a project where architecture development was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Data Engineering, Cloud Computing, Analytics, Consulting, and Architecture Development. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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