Python Software Engineer

Job description

Are you looking to take your career to the next level?

We’re looking for a Software Engineer to join our Data & Analytics Platforms engineering team. We are searching for self-motivated candidates, who will leverage modern Agile and DevOps practices to design, develop, test and deploy IT systems and applications, delivering global projects in multinational teams.

Responsibilities:

· 
Writing and testing code for Data & Analytics applications and building E2E cloud native (Azure) solutions

· 
Engineering applications throughout its entire lifecycle from development, deployment, upgrade, and replacement/termination

· 
Ensuring that development and architecture enforce to established standards, including modern software engineering practices (CICD, Agile, DevOps)

· 
Collaborate with internal technical specialists and with vendors to develop final product to improve overall performance, efficiency and/or to enable adaptation of new business process

Job Qualifications

· 
Bachelor’s degree in computer science or related technical field

· 
3+ years of experience working as Software Engineer (with focus on developing in Python , PySpark, Databricks, ADF)

· 
Experience leveraging modern software engineering practices (code standards, Gitflow, automated testing, CICD, DevOps)

· 
Experience working with Cloud infrastructure ( Azure preferred )

· 
Strong verbal, written, and interpersonal communication skills.

· 
A strong desire to produce high quality software through cross functional collaboration, testing, code reviews, and other best practices

You also should have:

· 
Strong written and verbal English communication skills to influence others

· 
Demonstrated use of data and tools

· 
Ability to handle multiple priorities

· 
Ability to work collaboratively across different functions and geographies

Kindly be advised that at P&G, employment is exclusively extended on the basis of an "Umowa o Pracę" (Full-time Employment Contract). Apply only if you agree to these conditions.

Job Schedule
Full time

Job Number
R000093823

Job Segmentation
Experienced Professionals (Job Segmentation)