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Procter & Gamble

Senior Data Engineer (Data & Analytics)

Warsaw, PolandPosted Today
Full-timeonsite

Job Description

Job Location

WARSAW DOWNTOWN OFFICE

Job Description

SENIOR DATA ENGINEER (Data & Analytics) – WARSAW, SKYLINER office
Senior Data Engineer in Databridge EU team

Join us to lead the evolution of Data & Analytics products used by over 2,000 users across Europe. You will own the design, delivery, and optimization of our next-generation data platform, driving infrastructure cost efficiency, advanced analytics capabilities, and productivity gains across European IT and A&I.

What you’ll own and build

  • Architect and implement highly scalable, automation-first data pipelines and services using Python, SQL, and Spark with strong emphasis on reliability and performance

  • Lead data modeling initiatives for complex BI scenarios, including advanced partitioning strategies and incremental refresh

  • Drive automation and standardization by developing reusable code templates, job configurations, and infrastructure-as-code components to reduce maintenance overhead

  • Champion AI-assisted development workflows, leveraging GenAI tools to accelerate coding, testing, and documentation while ensuring quality and maintainability

  • Take full ownership of code quality, conducting thorough design and code reviews, and guiding architectural decisions on data platform components

  • Define and enforce engineering standards spanning version control, CI/CD pipelines, testing frameworks, and documentation best practices

  • Collaborate deeply with cross-functional stakeholders and scrum teams throughout the product lifecycle, ensuring delivery excellence and technical alignment

Tech you’ll master and influence

  • Advanced Python, SQL, and Apache Spark development

  • Git-based workflows, CI/CD automation (GitHub Actions, Azure DevOps), and shell/PowerShell scripting

  • Modern cloud-native data ecosystems (Databricks, Azure Data Services) with a focus on cost-effectiveness and scalability

  • GenAI-driven developer productivity tools (e.g., GitHub Copilot) for enhanced software craftsmanship

What you bring

  • Deep expertise in SQL and Python with proven ability to optimize complex, large-scale data workflows

  • Strong command of data modeling principles tailored for analytics—dimensional models, partitioning, and performance tuning

  • Mastery of Spark for building robust ETL pipelines in cloud environments

  • Experience architecting and managing comprehensive CI/CD pipelines and automation tooling for data engineering

  • Demonstrated leadership in code reviews, documentation standards, and cross-team knowledge sharing

  • Excellent communication skills, with a collaborative approach and ability to influence across multidisciplinary teams

Nice to have (optional but highly valued)

  • Hands-on experience with Databricks platform specifics, including job template parametrization

  • Background in query optimization techniques and data pipeline debugging at scale

  • Strong Agile/Scrum mindset with cross-team coordination experience

  • Exposure to cutting-edge GenAI tools beyond basic coding assistance

  • Power BI at scale, including DAX optimization and star/snowflake schema design

Why this role?

  • Take ownership of a flagship data platform shaping BI and ML capabilities across Europe

  • Lead the adoption of modern, AI-augmented, automation-first engineering practices

  • Grow your technical leadership in a challenging environment with senior peers and mentorship opportunities

  • Deliver impactful solutions that become organizational standards and blueprints

Job Qualifications

  • Deep expertise in SQL and Python with proven ability to optimize complex, large-scale data workflows

  • Strong command of data modeling principles tailored for analytics—dimensional models, partitioning, and performance tuning

  • Mastery of Spark for building robust ETL pipelines in cloud environments

  • Experience architecting and managing comprehensive CI/CD pipelines and automation tooling for data engineering

  • Demonstrated leadership in code reviews, documentation standards, and cross-team knowledge sharing

  • Excellent communication skills, with a collaborative approach and ability to influence across multidisciplinary teams

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.

Watch this video to learn more about our full recruiting process: https://www.youtube.com/watch?v=0bicvbpy0gI

Kindly be advised that at P&G, employment is exclusively extended on the basis of an "Umowa o Pracę" (Full-time Employment Contract). Apply only if you agree to these conditions.

About us

We produce globally recognized brands and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders can lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide.

Visit http://www.pg.com to know more.

We are an equal opportunity employer and value diversity at our company. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, HIV/AIDS status, or any other legally protected factor.

Job Schedule

Full time

Job Number

R000148242

Job Segmentation

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