Data Engineer (Databricks)

Procter & Gamble; Warszawa; Hybride; PLN 170 000 - 250 000; Plein temps

Avantages offerts par ce poste

Hybrid work model

Training & certifications paths

Résumé du poste

Procter & Gamble is seeking a hands-on Data Engineer (Databricks) in Warsaw to design and implement a cohesive data model by integrating data across systems. You will build robust pipelines in Databricks and Azure, ensure data quality, and act as SME for external vendor developers.

Strong Python, SQL, Databricks, and data modeling skills are essential as you contribute to scalable data assets and analytics across the organization.

Qualifications

• Experience conducting code reviews and guiding junior developers or external vendors.
• Expert-level relational data modeling and data warehousing concepts (star/snowflake).
• Advanced SQL with performance tuning across multiple DB systems.
• Proficient Python for data manipulation and PySpark in distributed environments.
• Hands-on with Azure data services (Data Lake, Data Factory, Synapse) and Databricks.

Responsabilités

• Hands-on development: build, test, and deploy ETL/ELT pipelines on Azure and Databricks using Python and PySpark.
• Data modeling and engineering design to create a unified data model supporting analytics.
• Technical delivery and vendor oversight: code reviews, PR approvals, and enforce CI/CD standards.

Connaissances

Code reviews

Data modeling

SQL mastery

Python & PySpark

Azure data stack

Databricks platform

Outils

SQL

PySpark

Python

Description du poste

Job Location WARSAW PLANT & GO Job Description

The Trade Promotion & Analytics (TP&A) organization is embarking on a mission‑critical initiative to consolidate our diverse enterprise data landscape into a single, unified data foundation. To achieve this, we are seeking a skilled, hands‑on Data Engineer (Databricks) to join our team in Warsaw. In this role, you will be at the core of designing and implementing a cohesive relational and analytical data model by integrating data across multiple systems. You will combine hands‑on engineering—building robust, scalable pipelines in Databricks and Azure—with technical stewardship, serving as the subject matter expert and reviewer for external vendor developers. Your work will directly empower global teams with faster, more reliable insights and establish the data backbone for future analytics.

If you have strong technical depth in Python, SQL, Databricks, and data modeling, and enjoy driving high-quality engineering standards, we would love to connect with you.

Key Responsibilities

• Hands‑On Development & Implementation (40%) - Design, build, test, and deploy automated data pipelines and ETL/ELT processes on our Azure and Databricks platform. Write clean, maintainable, production‑ready code in Python and PySpark for data transformations, integrations, and aggregations. Develop, tune, and optimize complex SQL queries to ensure high performance and efficient pipeline execution. Ensure end‑to‑end data quality, consistency, and reliability across all production data flows.
• Data Modeling & Engineering Design (30%) - Actively contribute to designing and implementing a harmonized relational and analytical data model that serves as the single source of truth for downstream analytics. Analyze existing multi‑source data models and schemas to understand data flows, entity relationships, constraints, and business logic. Collaborate closely with Data Analysts and business stakeholders to translate analytical requirements into robust, scalable data structures. Ensure data modeling consistency, best practices, and thorough architectural documentation across data assets.
• Technical Delivery & Vendor Oversight (30%) - Act as the technical point of contact, SME, and quality gatekeeper for deliverables developed by external vendor engineers. Perform structured code reviews and pull request (PR) approvals to ensure compliance with P&G coding, testing, and security standards. Partner with the Product Owner to track delivery milestones, technical trade‑offs, and early mitigation of technical debt. Promote best engineering practices, continuous integration/continuous deployment (CI/CD), and shared team standards.

Job Qualifications

• Demonstrated experience conducting code reviews, establishing best practices, and providing technical guidance to junior peers or external vendor developers. Strong communication skills with the ability to articulate technical trade-offs to project stakeholders.
• Data Modeling: Expert‑level understanding and hands‑on experience with relational data modeling, data warehousing concepts (e.g., star/snowflake schemas), and database design.
• SQL Mastery: Expert‑level proficiency in SQL, including writing complex queries, performance tuning, and working with advanced functions across different database systems.
• Python & PySpark: Advanced programming skills in Python for data manipulation (e.g., Pandas) and proven, hands‑on experience developing solutions with PySpark in a distributed computing environment.
• Cloud & Big Data: Strong, practical experience with the Azure data stack (e.g., Azure Data Lake Storage, Azure Data Factory, Synapse Analytics) and the Databricks platform.
• Analytical Mindset: Exceptional analytical, problem‑solving, and critical‑thinking skills with a demonstrated ability to deconstruct complex business and data problems.

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).

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 R000160815 Job Segmentation Experienced Professionals

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.