Data And Analytics Engineering Manager

Pwpoland

Base: $112,400 - $162,400; bonus/equity: variable ...
Hybrid
Data engineering and ai tools expertise
Full-stack or backend development
Ai-assisted code review and refactoring
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients

Job Summary

  • At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients.
  • This newly created role reflects our commitment to growth and delivering distinctive value for our clients and stakeholders.
  • We reward your impact, and support your wellbeing, through a competitive compensation package, inclusive benefits and flexibility programs that will help you thrive in work and life.

Matching Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients.

Salary

Base: $112,400 - $162,400; Bonus/Equity: Variable incentive pay programs; Benefits: Competitive compensation and inclusive benefits

Skills & Requirements

Must-have

  • Data engineering and AI tools expertise
  • Full-stack or backend development
  • AI-assisted code review and refactoring
  • CI/CD pipelines and version control
  • Microservices architecture
  • Containerization with Docker and Kubernetes

Nice-to-have

  • Coaching and mentoring skills
  • Stakeholder communication
  • Change advocacy
  • Continuous learning of AI development trends
  • Problem-solving and attention to detail
  • Collaboration and communication skills

Key Requirements

  • Bachelor’s or master’s degree in computer science or related field
  • Proven experience as data and product engineer or full stack developer
  • Strong proficiency with AI tools like Cursor and Windsurf
  • Experience with Azure Cloud Platform
  • Proficiency in Python and Databricks
  • Familiarity with CI/CD tools and practices
  • Experience with data pipeline tools like Apache Beam and Airflow
  • Understanding of change management and governance
  • End-to-end software development lifecycle experience

Work Rights

Not specified

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