Skip to main content
  1. Home
  2. CEIT Data Engineer
Close Search Form Search

Tired of browsing through hundreds of jobs? Use your LinkedIn profile to search for jobs quickly
Learn More

P&G facilitates your search via TalentBrew, a job matching tool developed by TMP Worldwide. TalentBrew uses the LinkedIn application to extract job relevant information from a user’s LinkedIn profile (name, email, city, experience, education, skills & endorsements, recommendations, accomplishments and interests). P&G processes your data pursuant to its Candidate Privacy Notice.

We use that information to run an automated keyword-based comparison against P&G’s job descriptions and then present our available roles sorted by order of relevancy to your qualifications. The encrypted user data is only cached within our servers for 24 hours to save time for returning users. We do not access, process or store this information except to provide the job matching service

Data Engineer
Data Engineer

Data Engineer

HOME > Who we are > Our Roles - Data Engineer

At P&G we don’t offer jobs, we offer careers. There are multiple roles in IT but they all have one thing in common: in each one you can make a huge impact.

Please read further for an overview of one of our roles - then click on one of the yellow buttons below to find out more about our other roles.

Return to home Software Engineer Engineer Manager
Project Manager Ops Manager Product Owner

DevOps Engineer   Other Roles

 

Our Roles - Data Engineer

Key responsibility: Build systems, solutions and data pipelines using Cloud components and tools. We mainly use Python and SQL for most of the backend and Databricks (PySpark, Spark SQL) for data wrangling.A Data Engineer builds the data pipelines and solutions that move and transform data across the company, and given P&G’s magnitude, this corresponds to a global scale. Key responsibilities include designing and developing scalable, advanced analytical solutions that consume large datasets and using industry leading Big Data technologies to increasing productivity of analytical models’ delivery. Success in your role will help to control the complexity of IT from business case owners. You will closely collaborate with Enterprise Architects, Data Managers, Cloud and Infosec experts.

Key Stack/Framework for this role: DevOps, CI/CD, Agile/Scrum, Python/PySpark, SQL, Databricks, Microsoft Azure

Apply Here