Senior Data Engineer - Hybrid (Remote 2 days) | Spark

Procter & Gamble

Warszawa

Hybrid

PLN 180,000 - 260,000

Full time

14 days+
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Benefits offered by this job

Hybrid work model
Professional development (training and
certifications paths

Job summary

Procter & Gamble in Warsaw is seeking a data engineering professional to join our team and drive data solutions that meet business needs. You will work with data asset managers, architects, and development leads to create effective data products that align with architectural blueprints, standards, and reusable services.

The role requires hands-on experience with Python, Spark, Databricks, and CI/CD pipelines, plus cloud operations (Azure).

Qualifications

  • Bachelor's degree in Computer Science or related field.
  • Experience in data engineering, data science, machine learning or related field.
  • Proficiency with data architecture and data processing tools.
  • Proficiency in Advanced Python Programming, Design Patterns, and FastAPI.
  • Practical, hands‑on experience with Apache Spark and Databricks.
  • Solid background in building and maintaining CI/CD pipelines (e.g., GitHub Actions) complemented by experience in cloud environment operations and deployments (e.g., Azure).
  • Familiarity with AI and ML concepts and frameworks.

Responsibilities

  • Assemble large, complex data sets meeting 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

Integrated Risk Management
IT Operations
IT Project Management
Enterprise Architecture
People management
Strategy leadership

Education

Bachelor's degree in Computer Science or related field

Tools

GitHub Actions
Azure
Databricks
Apache Spark
CI/CD pipelines

Job description

Procter & Gamble in Warsaw is seeking a data engineering professional to join our team and drive data solutions that meet business needs. You will work with data asset managers, architects, and development leads to create effective data products that align with architectural blueprints, standards, and reusable services.

The role requires hands-on experience with Python, Spark, Databricks, and CI/CD pipelines, plus cloud operations (Azure).

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