Data Engineer (Databricks)

Posted 21 Days Ago
2 Locations
In-Office
Entry level
AdTech • Beauty • Marketing Tech • Retail • Pharmaceutical
The Role
Designs and deploys scalable data pipelines and ETL/ELT processes using Azure and Databricks. Develops Python, PySpark, and SQL solutions, builds relational and analytical data models, optimizes pipeline performance, and ensures data quality. Serves as a technical SME for vendor developers through code reviews, quality standards, delivery oversight, and collaboration with product owners and business stakeholders.
Summary Generated by Built In

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

1. 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.

2. 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.

3. 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

  • Technical Ownership & Guidance: 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.


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


P&G is committed to fair pay, transparent compensation principles, and a diverse and inclusive workplace. The stated salary range applies to this role and is established using objective criteria, such as job scope, level, and relevant market benchmarks. The final offer within this range will be determined based on the candidate’s experience, skills, and qualifications.

At P&G, salaries are based on a comprehensive evaluation process including relevant experience and qualifications credited within our salary ranges. Total rewards may include base salary, variable compensation (where applicable), and benefits. As part of our commitment to provide a superior employee experience, we offer a comprehensive and competitive Total Rewards package that contributes to employees feeling Valued and Rewarded.

Compensation is reviewed regularly and may evolve based on performance, impact, role scope, and market range changes, in line with company policy and local regulations, with future earning potential extending beyond the posted range depending on impact.


*Subject to applicable taxes


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 time

Job Number

R000160815

Job Segmentation

Experienced Professionals

Starting Pay / Salary Range

14,700.00 - 22,100.00 / month

Skills Required

  • Experience conducting code reviews and establishing engineering best practices
  • Experience providing technical guidance to junior peers or external vendor developers
  • Strong communication skills and ability to explain technical trade-offs
  • Expert-level relational data modeling, data warehousing, and database design experience
  • Expert-level SQL proficiency, including complex queries and performance tuning
  • Advanced Python programming skills for data manipulation
  • Hands-on PySpark experience in distributed computing environments
  • Practical experience with Azure data services, including Azure Data Lake Storage, Azure Data Factory, or Synapse Analytics
  • Hands-on experience with Databricks
  • Exceptional analytical, problem-solving, and critical-thinking skills

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.

  • 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.
  • 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.
  • 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

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The Company
HQ: Cincinnati, OH
117,512 Employees

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.

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