Job Location

Warsaw

Job Description

IT at PG

IT at Procter Gamble is where business, innovation and technology integrate to create a competitive advantage for PG. Our mission is clear -- we deliver IT to help PG win with consumers. As a PG IT professional, you are a diverse business leader who applies IT mastery to deliver game-changing, technology-driven business models and capabilities. Whether your role is to create an IT innovation strategy for a business, protect our critical information systems and assets, or manage a strategic supplier in our cutting-edge shared services organization, your technical mastery will be recognized and rewarded. Your passion for the industry will be further cultivated by our culture of continued learning and growth as an IT professional. Your career in IT builds change in leadership and influence skills, breadth of experience across multiple businesses, and depth of expertise in areas like Application Integration, Infrastructure, Data Analytics, and Security Risk.

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 PG as one of the largest digital advertisers in the world.

As a Data Engineer you will:

Work as a key member of a multi-disciplinary product team including engineers, product managers, and designers delivering innovative digital solutions following Agile DevOps best practices.

Contribute to the design and development of cloud native and high-performance Big Data solutions to real business problems variety of technologies including Python, Google Cloud, and more.

Work with advanced analytics technologies to solve data and computation challenges at a large scale (including Petabyte scale solutions).

Contribute to technical research, prototyping, estimation, options analyses, and proposals related to the data-intensive components of business, software and technology objectives.

Self-manage development backlog

Write testable, efficient code

Believe strongly in QA and scalability

Collaborate with third party technology providers

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 learning from others, and have a desire to share your knowledge with the broader internal software engineering community.

Job Qualifications

Required:

Strong problem-solving skills paired with experience in programming, such as Python, JavaScript, Java, C++, Go, etc. (Experience in a specific language is not required, though will be expected to learn new languages quickly)

Experience using source control management (git) to collaboratively build software: branching, merging, code reviews

Ability to communicate technical concepts to teammates and non-technical colleagues

Preferred:

Professional certification or Degree in Computer Science, Informatics, Engineering or related field

Experience developing and deploying production software

A history of solving hard problems with creative solutions

Experience with Microsoft Azure, Amazon Web Services, or Google Cloud Platform

Desire to write testable code, and the test coverage to go along with it

Understand CI/CD technologies and DevOps philosophies

Job Schedule

Full time

Job Number

R000123071

Job Segmentation

Experienced Professionals (Job Segmentation)