Senior Data Engineer

Global beverage and food company focused on delivering sustainable growth through a positive impact on planet and people.
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 Enterprise Data Foundation team, working from their Barcelona office in a hybrid setting. This role is part of the Financial Planning & Analysis (FP&A) team, focusing on building scalable data solutions for financial decision-making. You'll be responsible for processing financial data from SAP and other sources, ensuring accurate insights for revenue, operating expenses, and cost of goods sold.

As a key technical expert, you'll develop and oversee PepsiCo's data product build & operations, working with complex data applications in public cloud environments. The role involves building data pipelines, managing the data lake, and enabling analytics, visualization, and machine learning efforts across the company. You'll work with both in-house, on-premise data sources and cloud systems.

The position requires extensive experience in data engineering, particularly with Azure cloud services, SQL optimization, and programming languages like Python and PySpark. You'll be part of a diverse team with over 30 nationalities and strong female representation, working in an entrepreneurial environment that encourages innovation and professional growth.

PepsiCo offers a comprehensive benefits package supporting physical, emotional, and financial wellbeing, along with opportunities for volunteering and community involvement. The company is committed to sustainability through its PepsiCo Positive (pep+) initiative, focusing on creating growth and value while operating within planetary boundaries.

This is an excellent opportunity for a seasoned data engineer who wants to impact business strategy through data-driven solutions while working for a global leader in the beverage and food industry. The role combines technical expertise with business acumen, offering both professional challenges and growth opportunities.

Last updated 9 days ago

Responsibilities For Senior Data Engineer

  • Manage and scale data pipelines from internal and external data sources
  • Build and own automation and monitoring frameworks
  • Implement best practices around systems integration, security, performance 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

Requirements For Senior Data Engineer

Python
  • 7+ years of overall technology experience with 2+ years hands-on building data engineering pipelines
  • 3+ years of SQL optimization and performance tuning
  • 3+ years cloud data engineering experience in Azure
  • 3+ years in building data engineering pipelines in Azure (ADF and databricks)
  • 3+ years 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
Mental Health Assistance
  • Hybrid work model
  • Professional growth possibilities & learning opportunities
  • Physical, emotional and financial wellbeing benefits
  • Volunteering opportunities
  • Diverse team environment

Interested in this job?

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