Job Location
Warsaw
Job Description
IT at P&G
IT at Procter & Gamble is where business, innovation, and technology integrate to create a competitive advantage for P&G. Our mission is clear -- we deliver IT to help P&G win with consumers. As a P&G IT professional, you are a diverse business leader who applies IT mastery to deliver game-changing, technology-driven business models and capabilities. Your passion for the industry will be further cultivated by our culture of continued learning and growth as an IT professional.
The Opportunity
We are looking for a driven, naturally curious Senior Data Engineer to join our Digital Experiences team delivering cloud native Big Data solutions within our global Media ecosystem. Our engineering teams work with data on a massive scale and are responsible for the design, development, and continuous innovation of best-in-class solutions supporting P&G as one of the largest digital advertisers in the world.
As a Data Engineer you will:
The Ideal Candidate is:
You are first and foremost a problem solver, driven by curiosity, growth, and a desire to make things better. You are very comfortable writing code, debugging, and working hands-on. You are excited and not discouraged by working in the unknowns, with a passion for continuous learning and developing your own breadth and depth of technical knowledge, applying that knowledge to solve business problems. You have a strong foundation in Computer Science fundamentals, software engineering best practices, and cloud development. You take pride in the quality of solutions that you build and strive to make everything automated, testable, and scalable. You work collaboratively with others on your team and across different teams, are interested in learning from others, and have a desire to share your knowledge with the broader internal software engineering community.
Job Qualifications
Required:
Preferred:
Understand CI/CD technologies and DevOps philosophies.
Job Schedule
Full time
Job Number
R000123071
Job Segmentation
Experienced Professionals (Job Segmentation)
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