P&G

Data Engineer (Databricks)

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MidZdalnie·WarszawaFull-time

#459689·Dodano 8 dni temu·5

Źródło: P&G

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Tech Stack / Keywords

Databricks Azure Python PySpark SQLData ModelingData WarehousingCode ReviewsPandas CI/CD

Firma i stanowisko

We produce globally recognized brands and operate in approximately 70 countries worldwide. Our portfolio includes trusted quality brands such as Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax®, and more. The organization is undertaking a mission-critical initiative to consolidate enterprise data into a single unified foundation, supported by the Trade Promotion & Analytics (TP&A) team in Warsaw.

Wymagania

Demonstrated experience in technical ownership, conducting code reviews, and providing guidance to junior or external developers.
Expert-level understanding and hands-on experience with relational data modeling, data warehousing concepts (e.g., star/snowflake schemas), and database design.
Expert-level proficiency in SQL, including complex queries and performance tuning across databases.
Advanced programming skills in Python (including Pandas) and hands-on experience with PySpark in distributed environments.
Strong practical experience with the Azure data stack (Azure Data Lake Storage, Azure Data Factory, Synapse Analytics) and the Databricks platform.
Exceptional analytical, problem-solving, and critical-thinking capabilities.

Obowiązki

1. Hands-On Development & Implementation (40%):

Design, build, test, and deploy automated data pipelines and ETL/ELT processes on Azure and Databricks.
Write clean, maintainable, production-ready code in Python and PySpark for data transformations and aggregations.
Develop, tune, and optimize complex SQL queries for performance and pipeline efficiency.
Ensure end-to-end data quality, consistency, and reliability across production data flows.

2. Data Modeling & Engineering Design (30%):

Contribute to designing and implementing a harmonized relational and analytical data model as the single source of truth.
Analyze multi-source data models and schemas regarding data flows and business logic.
Collaborate with Data Analysts and stakeholders to translate analytical requirements into scalable data structures.
Ensure consistency, best practices, and architectural documentation across data assets.

3. Technical Delivery & Vendor Oversight (30%):

Serve as technical point of contact and SME for deliverables by external vendor engineers.
Conduct structured code reviews and pull request approvals ensuring compliance with P&G coding, testing, and security standards.
Partner with Product Owner to track milestones, technical trade-offs, and mitigate technical debt.
Promote best engineering practices, CI/CD, and team standards.

Benefity

Participation in P&G-sized projects with access to leading IT partners and technologies from day one.
Wide range of self-development opportunities including training and certification paths.
Competitive starting salary and benefits program, including private health care, P&G stock, savings plans, and sport cards.
Regular salary increases and potential promotions based on performance.
Opportunity to change roles periodically to align career growth with business needs.
Hybrid work model allowing work from home two days a week combined with office collaboration.

Opieka zdrowotna

Karta sportowa

Udziały pracownicze

Inne informacje

Employment is exclusively offered on the basis of an "Umowa o Pracę" (full-time employment contract). Applicants must agree to these conditions. P&G is an equal opportunity employer and values diversity; no discrimination is practiced on legally protected factors.

P&G

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