Manager / Senior Manager - Cloud, Data & AI (CD&AI) - Data Engineering
PwC Open At a glance
Senior Data Engineering role at PwC. Zürich · full-time.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Work with your team to find major projects and build relationships with senior client stakeholders across varied industries
- Shape end-to-end data solutions around client needs, then guide delivery toward practical value
- Gather client requirements and recommend technology solutions that move digitization efforts forward
- Investigate client challenges, question existing approaches and explain your recommendations to senior stakeholders
- Apply and grow your expertise in data engineering, analytics, technology practices and consulting
What you bring
- More than seven years focused on data engineering, analytics or data science
- You have sourced, prepared and delivered complete solutions for internal or external clients
- You can work in several programming languages, including Python, R or SQL
- You speak English and German fluently
Who this fits
This senior role suits someone who can lead client conversations and deliver end-to-end data work. You should be willing to travel in Switzerland and occasionally abroad. Consulting experience is a bonus; a relevant university degree is preferred rather than required.
From the employer
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Emerging TechnologiesManagement Level
Senior ManagerJob 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 SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date
Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Engineering
Find me workBy the team behind dataroles.