Data Engineer - Cloud Analytics & Pipelines (Hybrid)

Procter & Gamble; Warszawa; On-site; PLN 139,000 - 189,000; Full time

Benefits offered by this job

Mentoring programs

Training and industry certifications

Flexible work arrangements (remote up

PG stock and saving plans

Job summary

Procter & Gamble in Warsaw (WARSAW DOWNTOWN OFFICE) seeks a Data Engineer to design, develop, and deploy cloud-based data analytics platforms and pipelines. You will blend data from diverse sources, transform it, and publish data for consumption by analytics teams.

The role requires hands-on experience with Power BI, Python, PySpark, Databricks, and Azure data services, along with a solid understanding of data modeling and CI/CD practices.

Qualifications

• Experience in data engineering, BI, data science, or related field.
• Strong understanding of Power BI semantic models, DAX, and analytical data modeling.
• Experience with Power BI datasets, measures, relationships, and report-facing 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 concepts.
• Understanding of ETL/ELT processes, data pipelines, and cloud-based architecture.
• Familiarity with Azure data services, especially Azure Databricks and Data Lake.
• Familiarity with Git, pull requests, branching strategies, and collaboration.
• Basic understanding of CI/CD practices for data pipelines.

Responsibilities

• Assemble large complex data sets meeting functional and non-functional requirements.
• Partner with data asset managers, architects, and development leads to ensure data is fit for use and aligned with architecture.
• Contribute to coding standards and best practices to ensure efficient, reusable services.
• Identify, design, and implement internal process improvements.

Skills

Data engineering

Power BI

Python/PySpark

ETL/ELT

Azure cloud

Git/CI/CD practices

DAX/semantic models

Education

Bachelor's degree in Computer Science or related field

Azure Associate Data Engineer (DP-203)

Tools

Databricks

Azure Databricks

Azure Data Lake

Git

CI/CD

Spark

Job description

Procter & Gamble in Warsaw (WARSAW DOWNTOWN OFFICE) seeks a Data Engineer to design, develop, and deploy cloud-based data analytics platforms and pipelines. You will blend data from diverse sources, transform it, and publish data for consumption by analytics teams.

The role requires hands-on experience with Power BI, Python, PySpark, Databricks, and Azure data services, along with a solid understanding of data modeling and CI/CD practices.