PepsiCo is using the power of data to transform the way our world famous portfolio of brands are sold every day. Our Data Science & Analytics group influences every aspect of how we sell and move our products. In just a short period of time, they’ve built new capabilities that have defined the data science roadmap across all of our brands. Members of our team solve complex problems facing our rapidly changing business and get to see their work come to life in the real world. 

Join PepsiCo’s Enterprise Data Operations team which develops quality data collection processes, maintains the integrity of our data foundations and enables business leaders and data scientists across the company to have rapid access to the data they need for decision-making and innovation. 

Role summary 

As a Senior Data Engineer, you will be the key technical expert overseeing PepsiCo's data product build & operations and drive a strong vision for how data engineering can proactively create a positive impact on the business. You'll be empowered to create & lead a strong team of data engineers who build data pipelines into various source systems, rest data on the PepsiCo Data Lake, and enable exploration and access for analytics, visualization, machine learning, and product development efforts across the company.  

What will you be doing more specifically: 

Active contributor to code development in projects and services.  

Manage and scale data pipelines from internal and external data sources to support new product launches and drive data quality across data products. 

Build and own the automation and monitoring frameworks that captures metrics and operational KPIs for data pipeline quality and performance. 

Responsible for implementing best practices around systems integration, security, performance and data management. 

Empower the business by creating value through the increased adoption of data, data science and business intelligence landscape. 

Collaborate with internal clients (data science and product teams) to drive solutioning and POC discussions. 

Evolve the architectural capabilities and maturity of the data platform by engaging with enterprise architects and strategic internal and external partners. 

Develop and optimize procedures to “productionalize” data science models. 

Define and manage SLA’s for data products and processes running in production. 

Prototype new approaches and build solutions at scale. 

Create and audit reusable packages or libraries. 


Minimum Qualifications: 

4+ years of experience with software development, data engineering, or systems architecture: 

4+ years of experience with Data Lake Infrastructure, Data Warehousing, and ETL/ELT pipelines. 

4+ years of experience in SQL optimization and performance tuning, and development experience in programming languages like Python, PySpark, Scala etc.). 

2+ years in cloud data engineering experience in at least one cloud (Azure, AWS, GCP). 

Experience in the following areas: 

Data profiling and data quality using tools like Apache Griffin, Deequ, Informatica  and Great Expectations. 

Extensive experience with object-oriented design and coding and testing patterns, including experience with engineering Azure Data platforms and data infrastructures 

Production projects experience in Data Analytics, Data Visualization, Data Security, Data Modelling  

Experience in building complex data sets from multiple data sources, both internally and externally 

Excellent communication skills, both verbal and written, along with the strong ability to influence senior level management and stakeholders. 

Strong change manager: comfortable with change, especially that which arises through company growth.  

Ability to understand and translate business requirements into data and technical requirements. 

High degree of organization and ability to manage multiple, competing projects and priorities simultaneously. 

 What makes us different? 

Hybrid work model: combination of remote and collaborative office experience to enable innovation

Entrepreneurial environment in leading international company 

Professional growth possibilities & learning opportunities  

Diverse team from over 25 countries 

Variety of benefits to support your physical, emotional and financial wellbeing 

Free Friday afternoon & during the month of August 

Relocation package & sponsorship to work in Spain if applicable 


About PepsiCo 

We believe that culture should be at the cornerstone of everything we do at PepsiCo D+A. We operate with start-up mindset – agile, innovative and not afraid of failure. We want our team to come to work every day excited to explore new ways bring enjoyment, refreshment and fun to the world. 

PepsiCo Positive (pep+) is the future of our organization – a strategic end-to-end transformation, with sustainability at the center of how we will create growth and value by operating within planetary boundaries and inspiring positive change for the planet and people.  

So, if you’re ready to be a part of a playground for those who think big, we’d love to chat. 

* We encourage the diversity of applicants across gender, age, ethnicity, nationality, sexual orientation, social background, religion or belief and disability 

PepsiCo Data & Analytics Overview:  
With data deeply embedded in our DNA, PepsiCo Data & Analytics transforms data into consumer delight. We build and organize business-ready data that allows PepsiCo’s leaders to solve their problems with the highest degree of confidence. Our platform of data products and services ensures data is activated at scale. This enables new revenue streams, deeper partner relationships, new consumer experiences, and innovation across the enterprise. 

Technical Skills
Is a Remote Job?
Employment Type
Full time

PepsiCo brands can be found in just about every country on the planet, and globally we´re transforming how we make, move and sell our products. We´re in the midst of a digital transformation, defining...

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