Databricks Data Engineer — Hybrid, PySpark & ETL

Procter & Gamble; Warszawa; Hybrid; PLN 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid work model

Private health care

P&G stock and saving plans

Job summary

Procter & Gamble's Central Europe Backend Engineering team seeks a Data Engineer with Databricks to design, develop, and maintain scalable data pipelines for shipment, sell-out, and market share data across Central Europe. This role powers 12+ digital products and serves 700 users.

You will work from the Warsaw site in a hybrid model, collaborating with data asset managers, architects, and frontend teams to deliver data as a product and ensure high quality data solutions.

Qualifications

• PySpark expertise for efficient data processing, transformation, and analysis.
• Hands-on Databricks experience, including cluster management, notebooks, and job scheduling.
• Advanced SQL skills for complex data manipulation, querying and performance tuning.
• Experience designing, implementing, and optimizing robust PySpark/Databricks ETL/ELT pipelines.
• Familiarity with data modeling, warehousing concepts, and dimensional modeling techniques.
• Understanding of data integration patterns, data lakes, and data quality best practices.
• Databricks Workflow management and pipeline orchestration is a plus.
• GCP exposure is considered a plus.

Responsibilities

• Develop Core Data Solutions in Databricks using PySpark notebooks and SQL.
• Leverage AI tools to accelerate development cycles and productivity.
• Assemble large, complex datasets meeting functional and non-functional requirements.
• Collaborate with data asset managers, architects, and leads to ensure fit-for-purpose solutions.
• Adhere to established coding standards and best practices for scalable services.
• Partner with frontend teams to deliver data as a product and ensure seamless delivery.
• Follow architectural designs and reduce technical debt through revamps.
• Deliver data engineering projects within an Agile Scrum framework.
• Provide L3 support for existing data processes and investigate incidents for stability.
• Identify opportunities to automate backend operations and improve processes.
• Stay current with industry trends and share knowledge within the team.

Skills

PySpark

Databricks

SQL

Data pipelines

Data modeling

Data architecture

Workflow orchestration

Cloud platform (GCP)

Job description

Procter & Gamble's Central Europe Backend Engineering team seeks a Data Engineer with Databricks to design, develop, and maintain scalable data pipelines for shipment, sell-out, and market share data across Central Europe. This role powers 12+ digital products and serves 700 users.

You will work from the Warsaw site in a hybrid model, collaborating with data asset managers, architects, and frontend teams to deliver data as a product and ensure high quality data solutions.