Data Engineer - Superior Retail Execution

Procter & Gamble; Warszawa; Hybrid; PLN 180,000 - 270,000; Full time

Benefits offered by this job

Healthcare

Stock options

Training & certifications

Career growth

Hybrid work

Job summary

Procter & Gamble, Warsaw plant, is seeking a Data Engineer to design, develop, and implement cloud-based data and analytics platforms and pipelines that ingest, cleanse, transform, and publish data from diverse sources.

You will collaborate with data asset managers, architects, and leads to ensure scalable, secure data solutions aligned with architecture blueprints, while advancing CI/CD practices and cloud deployments (Azure).

Qualifications

• Bachelor's degree in Computer Science or related field.
• 1
• Experience in data engineering, data science, ML or related field.
• 2
• Proficiency with data architecture and data processing tools.
• 3
• Proficiency in Advanced Python Programming, Design Patterns, and FastAPI.
• 4
• Hands-on experience with Apache Spark and Databricks.
• 5
• CI/CD pipelines (GitHub Actions) and cloud deployments (Azure).
• 6
• Familiarity with AI/ML concepts and frameworks.
• 7
• Certifications in Azure/Databricks/Spark/GCP.
• 8

Responsibilities

• Assemble large complex data sets meeting business requirements.
• Partner with data asset managers, architects, and leads to ensure data fits architecture blueprints.
• Contribute to and leverage coding standards to ensure efficient, reusable services.
• Identify, design, and implement internal process improvements.

Skills

Data engineering

Data science

Machine learning

Data architecture

Data processing tools

Advanced Python

Design patterns

FastAPI

Apache Spark

Databricks

CI/CD pipelines

GitHub Actions

Azure

AI/ML concepts

Education

Bachelor's degree in Computer Science or related field

Azure Associate Data Engineer (DP-203)

Databricks Professional Data Engineer

Apache Spark Developer Associate

Professional Data Engineer - Google Cloud Platform (GCP)

Experience in data engineering, data science, ML

Tools

Azure

GitHub Actions

Cloud deployments

Job description

Job 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.

Job Location

WARSAW PLANT & GO

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

• Bachelor's degree in Computer Science or related field.
• Experience in data engineering, data science, machine learning or related field.
• Proficiency with data architecture and data processing tools.
• Proficiency in Advanced Python Programming, Design Patterns, and FastAPI.
• Practical, hands‑on experience with Apache Spark and Databricks.
• Solid background in building and maintaining CI/CD pipelines (e.g., GitHub Actions) complemented by experience in cloud environment operations and deployments (e.g., Azure)
• Familiarity with AI and ML concepts and frameworks
• Certifications: Azure Associate Data Engineer (DP-203), Databricks Professional Data Engineer, Apache Spark Developer Associate, Professional Data Engineer - Google Cloud Platform (GCP).

We offer

• P&G-sized projects and access to world leading IT partners and technologies from Day 1.
• Wide range of self‑development possibilities (training and certifications paths).
• Competitive starting salary and benefits program (private health care, P&G stock, saving plans, sport cards).
• Regular salary increases and possible promotions - in line with your results and performance.
• Opportunity to change role every few years to be in the best place for you and best for P&G.

At Procter & Gamble, we embrace a hybrid work model that combines the flexibility of remote work with the collaborative benefits of in‑office engagement. Employees can enjoy the option to work from home two days a week while also spending time in the office to foster teamwork and enhance communication.

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.

Job Schedule

Full time

Job Number

R000156314

Job Segmentation

Experienced Professionals