Senior Data Engineer

A global food and beverage company focused on delivering sustainable growth through a positive impact on the planet and people.
08940 Cornellà de Llobregat, Barcelona, Spain
Data
Senior Software Engineer
Hybrid
5,000+ Employees
7+ years of experience
Enterprise SaaS · Consumer

Description For Senior Data Engineer

Join PepsiCo as a Senior Data Engineer in their Financial Planning & Analysis (FP&A) team in Barcelona. As a key technical expert, you'll develop and oversee data product build & operations, working with complex financial data from SAP and other sources. You'll be part of a team building data pipelines into various source systems, managing data on PepsiCo's Data Lake, and enabling analytics and machine learning efforts across the company. The role involves working with cutting-edge cloud technologies, particularly Azure, and implementing best practices in data engineering. You'll have the opportunity to directly impact business strategy through data-driven solutions in revenue management, supply chain, manufacturing, and logistics. PepsiCo offers a hybrid work environment, professional growth opportunities, and a diverse, inclusive culture with over 30 nationalities represented. The company is committed to sustainability through its PepsiCo Positive (pep+) initiative, making this an excellent opportunity for those who want to combine technical expertise with meaningful business impact.

Last updated 2 hours ago

Responsibilities For Senior Data Engineer

  • Be an active contributor to code development in projects and services
  • Manage and scale data pipelines from internal and external data sources
  • Build and own automation and monitoring frameworks for data pipeline quality
  • Implement best practices around systems integration, security, and data management
  • Collaborate with data science and product teams
  • Develop and optimize procedures to productionalize data science models
  • Define and manage SLAs for data products and processes

Requirements For Senior Data Engineer

Python
  • 7+ years of overall technology experience with 2+ years in data engineering pipelines
  • 3+ years of SQL optimization and Python/PySpark/Scala experience
  • 3+ years of cloud data engineering experience in Azure
  • 3+ years in building data engineering pipelines in Azure (ADF and databricks)
  • 3+ years in data engineering experience in Azure Synapse
  • Experience with version control systems like Github
  • BA/BS in Computer Science, Math, Physics, or other technical fields

Benefits For Senior Data Engineer

Medical Insurance
Dental Insurance
Vision Insurance
  • Hybrid work model
  • Professional growth possibilities & learning opportunities
  • Physical, emotional and financial wellbeing benefits
  • Volunteering opportunities
  • Diverse team environment

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