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.
Those in intelligent automation at PwC will focus on conducting process mining, designing next generation automation solutions, and implementing intelligent process automation to help clients achieve operational efficiencies and reduce costs.
We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship 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.
Skills & Requirements
Must-have
Proficiency in Python and Pandas
Strong SQL skills
Experience with CI/CD and Git workflows
Knowledge of RESTful APIs and JSON
Linux environment deployment (Ubuntu, RHEL)
Nice-to-have
Experience with AI/ML technologies
Familiarity with cloud platforms AWS, Azure, Google Cloud
Experience with containerization Docker/Kubernetes
Proactive and eager to adopt new technologies
Excellent communication and problem-solving skills
Key Requirements
2-3 years Python automation development experience
Bachelor’s or Master’s in Computer Science, Data Science, AI, or related fields