Jobs Companies Procter & Gamble Senior Data Engineer - Commercial Data

À propos de ce poste Senior Data Engineer - Commercial Data chez Procter & Gamble

Procter & Gamble · Hybride · WHBC - WINTON HILL BUS CENTER

Job Location

WHBC - WINTON HILL BUS CENTER

Job Description

The Senior Data Engineer is responsible for designing, developing, and implementing cloud-based data and analytics platforms and pipelines that acquire, cleanse, transform, and publish data from a wide variety of sources. This role supports the Family Care Commercial Team and offers the opportunity to work directly with senior business leaders to deliver high-impact solutions used by hundreds of employees across the organization.

This role provides significant visibility and ownership, helping modernize and automate critical commercial processes that have traditionally required substantial manual effort. The successful candidate will work at the intersection of data engineering, analytics, and AI, helping shape how Family Care leverages data and emerging technologies to drive business decisions.

Key Responsibilities

  • Build scalable data and analytics solutions primarily in Microsoft Azure, leveraging approved architectures to acquire, process, store, and deliver business insights.

  • Develop and enhance cloud-based data platforms, pipelines, and data products that support critical commercial and analytics use cases.

  • Design and implement automation solutions and AI-powered workflows that improve productivity and reduce manual processes.

  • Build and support AI agents and agentic solutions that help accelerate business decision-making and operational efficiency.

  • Leverage GitHub Copilot, Copilot Studio, and other AI-assisted development tools to increase development speed and solution quality.

  • Partner closely with business leaders, product managers, analytics teams, and technical stakeholders to solve high-value business challenges.

  • Contribute to strategic business capabilities including:

    • Consumption Data Analysis: Sales, share, Nielsen, AOS, customer POS, pricing, promotion, and competitive analytics

    • Media and creative performance measurement

    • AI-driven solutions for shipments, consumption analytics, and decision support

    • Research data pipelines and analytics

  • Influence the adoption of emerging data, analytics, and AI technologies across Family Care.

  • Work within Agile product teams to deliver scalable, cloud-based solutions.

Job Qualifications

Required:

  • 5+ years proven experience with Python/PySpark and SQL/SparkSQL.

  • 5+ years of experience building large-scale data pipelines, ETL/ELT processes, and cloud-based analytics solutions.

  • Experience with Databricks, Apache Spark, and modern data engineering practices.

  • Hands-on experience implementing solutions in cloud platforms, with a strong preference for Microsoft Azure.

  • Experience building AI agents, copilots, intelligent workflows, or other AI-powered solutions.

  • Experience using GitHub Copilot or other AI-assisted software development tools.

  • Knowledge of CI/CD practices and DevOps methodologies.

  • Knowledge of data modeling, data warehousing, and analytics platforms.

  • Ability to work hybrid schedule in Cincinnati, OH.

Preferred:

  • Knowledge of AAS, DAX, and Power BI is a plus.

  • Preferred certifications include Azure Data Engineer Associate (DP-203), Databricks Professional Data Engineer, Apache Spark Developer Associate, or Google Professional Data Engineer.

  • Experience with Agile Scrum development practices.

  • Exposure to building data pipelines in GCP

Compensation for roles at P&G varies depending on a wide array of non-discriminatory factors including but not limited to the specific office location, role, degree/credentials, relevant skill set, and level of relevant experience. At P&G compensation decisions are dependent on the facts and circumstances of each case. Total rewards at P&G include salary + bonus (if applicable) + benefits.  Your recruiter may be able to share more about our total rewards offerings and the specific salary range for the relevant location(s) during the hiring process.

At P&G, we believe that diverse experiences help build strong leaders. Mobility is a key component of many management careers, providing opportunities to grow through different assignments, locations, and business challenges. Candidates should be prepared to consider relocation opportunities throughout their career as business needs and development opportunities arise. 

We are committed to providing equal opportunities in employment. We value diversity and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Immigration Sponsorship is not available for this role. For more information regarding who is eligible for hire at P&G along with other work authorization FAQ’s, please click HERE.

Procter & Gamble participates in E-Verify.

Qualified individuals will not be disadvantaged based on being unemployed.

P&G is dedicated to meeting the needs of applicants requesting an accommodation/adjustment due to a disability in order to complete the online application process.  If you have a disability that affects your ability to complete our online application process, please visit our Disability Accommodation Page.

Job Schedule

Full time

Job Number

R000155625

Job Segmentation

Experienced Professionals

Starting Pay / Salary Range

$110,000.00 - $165,300.00 / year
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Comment se compare ce salaire pour Data Engineer

Ce poste paie $137,650/yrdans la fourchette habituelle pour les postes Data Engineer.

$101,171 la médiane $162,000 $242,500

Fourchette typique $128,005–$195,000/yr, à partir de 1,734 annonces Data Engineer comparables sur JobsRadar (rémunération annualisée en USD). Voir les aperçus de salaire pour Data Engineer →

À propos de Procter & Gamble

P&G was founded over 180 years ago as a simple soap and candle company. Today, we’re the world’s largest consumer goods company and home to iconic, trusted brands that make life a little bit easier in small but meaningful ways. We’ve spanned three centuries thanks to three simple ideas: leadership, innovation and citizenship. The insight, innovation and passion of talented teams has helped us grow into a global company that is governed responsibly and ethically, that is open and transparent, and that supports good causes and protects the environment. This is a place where you can be proud to work and do something that matters.

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