Cloud Data Engineer – Spark, Databricks & Power BI

Procter & Gamble; Warszawa; On-site; PLN 149,000 - 179,000; Full time

Benefits offered by this job

P&G-sized projects

International teams

Mentoring programs

Flexible work arrangements

PG stock

Private health care

Vibrant Living programs

Saving plans

Job summary

Procter & Gamble in Warsaw, Poland, is seeking a Data Engineer for a full-time, on-site role to design and implement cloud-based data and analytics platforms and pipelines.

You will assemble large data sets, collaborate with data asset managers, and contribute to scalable, efficient data solutions. The position emphasizes Power BI, Python, PySpark, Databricks, and Azure data services, with opportunities for growth and certification.

Qualifications

• Experience in data engineering, business intelligence, data science, or a related field.
• Strong understanding of Power BI semantic models, DAX, and analytical data modeling.
• Experience with Power BI, including working with datasets, measures, relationships, and report-facing data structures.
• Proficiency in Python and PySpark for data processing, transformation, and analysis.
• Experience with Databricks or similar platforms for data engineering tasks.
• Knowledge of Spark SQL, Delta Lake, and lakehouse-based data processing concepts.
• Understanding of ETL/ELT processes, data pipelines, and cloud-based data architecture.
• Familiarity with Azure data services, preferably Azure Databricks and Azure Data Lake.
• Familiarity with Git, pull requests, branching strategies, and collaborative development practices.
• Basic understanding of CI/CD practices for data pipelines and analytical solutions.
• Bachelor's degree in Computer Science or related field.

Responsibilities

• Assemble large complex data sets which meet functional and non-functional business requirements.
• Partner with data asset managers, architects, and development leads to ensure a technical solution provides data which is fit for use and in line with architecture blueprints.
• Contribute to and leverage coding standards and best practices to ensure services and components are efficient and reusable.
• Identify, design, and implement internal process improvements.

Skills

Data engineering

Power BI

DAX

Analytical data modeling

Python

PySpark

Databricks

Spark SQL

Delta Lake

ETL/ELT

Azure data services

Git

CI/CD

GitFlow

Education

Bachelor's degree in CS or related field

Tools

Azure Databricks

Azure Data Lake

Git

Job description

Procter & Gamble in Warsaw, Poland, is seeking a Data Engineer for a full-time, on-site role to design and implement cloud-based data and analytics platforms and pipelines.

You will assemble large data sets, collaborate with data asset managers, and contribute to scalable, efficient data solutions. The position emphasizes Power BI, Python, PySpark, Databricks, and Azure data services, with opportunities for growth and certification.