Job Location
WARSAW DOWNTOWN OFFICEJob Description
The Data Engineer is responsible for designing, developing, and implementing data and analytics cloud-based analytics platforms (DAP) and pipelines that acquire, cleanse, transform, and publish data from a wide variety of sources.
Key Responsibilities:
Assemble large complex data sets which meet functional and non-functional business requirements.
Partner with data asset managers, architects, and development leads to ensure a technical solution provides data which is fit for use and in line with architecture blueprints.
Contribute to and leverage coding standards and best practices to ensure services and components are efficient and reusable.
Identify, design, and implement internal process improvements.
Job Qualifications
Experience in data engineering, business intelligence, data science, or a related field.
Strong understanding of Power BI semantic models, DAX, and analytical data modeling.
Experience with Power BI, including working with datasets, measures, relationships, and report-facing data structures.
Proficiency in Python and PySpark for data processing, transformation, and analysis.
Experience with Databricks or similar platforms for data engineering tasks.
Knowledge of Spark SQL, Delta Lake, and lakehouse-based data processing concepts.
Understanding of ETL/ELT processes, data pipelines, and cloud-based data architecture.
Familiarity with Azure data services, preferably Azure Databricks and Azure Data Lake.
Familiarity with Git, pull requests, branching strategies, and collaborative development practices.
Basic understanding of CI/CD practices for data pipelines and analytical solutions.
Bachelor's degree in Computer Science or related field.
Nice to have:
Experience developing or maintaining large Power BI semantic models / Tabular models.
Knowledge of TMDL, Tabular Editor or Power BI deployment pipelines.
Experience with dimensional modeling, star schemas, data marts, or medallion architecture.
Hands-on experience with CI/CD implementation using Azure DevOps or similar tools.
Knowledge of GitFlow branching model.
Experience with performance optimization in Power BI, DAX, Spark, or Databricks.
Certifications: Azure Associate Data Engineer (DP-203), Databricks Professional Data Engineer, Apache Spark Developer Associate.
We offer:
P&G-sized projects and access to world leading IT partners and technologies from day one;
Work in international teams with global responsibilities;
Friendly and supportive atmosphere at work;
Mentoring programs, trainings and industry certifications;
Opportunity to change role every few years to be in the best place for you and best for P&G;
Flexible work arrangements (work from home up to 2 days per week);
P&G Vibrant Living programs (sport cards, in-office fitness center);
Competitive salary and benefits program (private health care, PG stock, saving plans);
Regular salary revisions and possible promotions - all in line with your results, performance and potential;
Additionally, we offer the Flex Fund benefit – empowering you to craft a personalized benefits package tailored to your unique needs, priorities, and life stages. Whether you prioritize health and wellness or crave the perfect work-life balance, seize the freedom to select what truly matters to you.
Just so you know
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, age, sexual orientation, gender identity and expression, marital status, citizenship, HIV/AIDS status, or any other legally protected factor.
At P&G #weseeequal
We are an equal opportunity employer and value diversity at our company. At P&G we strive to build a culture where everyone feels welcome, included, and able to bring their full selves to work.
We ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process. Please click here if you require an accommodation during the application process. Please make sure to wait to hear back from us regarding your accommodation before proceeding with the online assessment, we thank you in advance for your patience.
Job Schedule
Full timeJob Number
R000156240Job Segmentation
Entry LevelStarting Pay / Salary Range
14,700.00 / monthSkills Required
- Experience in data engineering, business intelligence, data science, or a related field
- Strong understanding of Power BI semantic models, DAX, and analytical data modeling
- Experience with Power BI datasets, measures, relationships, and report-facing data structures
- Proficiency in Python and PySpark
- Experience with Databricks or similar data engineering platforms
- Knowledge of Spark SQL, Delta Lake, and lakehouse-based data processing
- Understanding of ETL/ELT processes, data pipelines, and cloud-based data architecture
- Familiarity with Azure data services, preferably Azure Databricks and Azure Data Lake
- Familiarity with Git, pull requests, branching strategies, and collaborative development
- Basic understanding of CI/CD practices for data pipelines and analytical solutions
- Bachelor's degree in Computer Science or a related field
- Experience developing or maintaining large Power BI semantic or Tabular models
- Knowledge of TMDL, Tabular Editor, or Power BI deployment pipelines
- Experience with dimensional modeling, star schemas, data marts, or medallion architecture
- Hands-on CI/CD implementation experience using Azure DevOps or similar tools
- Knowledge of GitFlow branching model
- Performance optimization experience in Power BI, DAX, Spark, or Databricks
- Azure Associate Data Engineer, Databricks Professional Data Engineer, or Apache Spark Developer Associate certification
Procter & Gamble Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Procter & Gamble and has not been reviewed or approved by Procter & Gamble.
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Fair & Transparent Compensation — Compensation is considered competitive and benchmarked against top industry peers, supported by formal pay‑equity audits and stated transparent principles. Feedback suggests pay is a strong draw, with raises described as attainable and benefits starting from day one of training.
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Healthcare Strength — Health coverage is broad and immediate, including medical, dental, vision, life and disability insurance, with mental‑health and telemedicine offerings expanded recently. This breadth and day‑one access contribute to a perception of reliable, comprehensive care.
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Parental & Family Support — Parental leave is inclusive under a global framework for all parents, with added recovery time for birth mothers. Adoption, fertility, childcare support and eldercare services further strengthen family support.
Procter & Gamble Insights
What We Do
Procter & Gamble Company is an American multi-national consumer goods corporation. P&G was founded over 180 years ago as a soap and candle company. Today, we’re the world’s largest consumer goods company and home to iconic, trusted brands, including Always®, Charmin®, Braun®, Fairy®, Febreze®, Gillette®, Head & Shoulders®, Oral B®, Pantene®, Pampers®, Tide®, and Vicks®. The design, development, growth and success of these products—and many more—is thanks to the innovative and insightful minds of our people. From Day 1, you’ll help make everyday life easier for our 5 billion consumers through billion dollar brands. With our large global footprint, there are many opportunities to work with P&G in multiple locations. We offer opportunities in approximately 70 countries and continually aim to attract, reward and advance the finest people in the world. As a "build from within" organization, we see 95% of our people start at an entry level and progress through the organization. Here, we want you to get your career off to a fast start. That's why we don't have any rotational development programs or gradual ramping-up periods: you’ll be able—and encouraged—to dive right in from day 1. Join us and help make life better through meaningful work that makes an impact from Day 1.
