Graduate Data Engineer @ PepsiCo’s Spain Digital Hub in Vitoria, Spain.

Apply for the Graduate Data Engineer program at PepsiCo’s Spain Digital Hub in Vitoria, Spain. Designed for Computer Science, IT, and Data Science graduates. Gain hands-on exposure to Python, PySpark, SQL, Databricks, and cloud data architecture in a global food and beverage enterprise.

About the Company: PepsiCo

PepsiCo is a global consumer goods powerhouse, generating more than $79 Billion in net revenue through an iconic portfolio of 22 multi-billion-dollar brands—including Pepsi, Lay’s, Gatorade, and Quaker. Distributed across 200+ countries and driven by a global workforce of 250,000+ associates, PepsiCo operates under a core mission termed Winning with Purpose: achieving exceptional, market-leading financial growth while actively cementing sustainable, positive impacts on society and the environment.

As a foundational element of its technological transformation across Europe, PepsiCo established its state-of-the-art Spain Digital Hubs, located in the technological ecosystems of Barcelona and Vitoria, Spain. Operating within the Strategy & Transformation (S&T) organisation, these digital hubs serve as the primary engineering growth engine for the enterprise. The hubs are tasked with building scalable enterprise cloud solutions, unlocking operational efficiencies through advanced data modelling, and reimagining data analytics platforms to drive high-velocity commercial decisions.

About the Role: Graduate Data Engineer

PepsiCo is seeking a high-energy, technically proficient Graduate Data Engineer to join its elite Strategy & Transformation division at the Digital Hub in Vitoria, Spain. This structured graduate program is specifically engineered for ambitious final-year students and recent graduates looking to transition directly from academic environments into complex, production-grade cloud data operations.

As a Graduate Data Engineer, you will be fully embedded within a global Data & Analytics (DA&I) team. Under the direct guidance of senior data architects and technical mentors, you will contribute directly to live, real-time data pipelines and digital transformation initiatives. Your technical focus will span Data Engineering pipelines, relational/NoSQL data modelling, Big Data distributed processing, and AI integrations in data frameworks. This program provides an intensive engineering runway, giving you full exposure to modern software development workflows and serving as a key pipeline for future full-time associate roles at PepsiCo.

Key Responsibilities & Data Engineering Workflows

• Pipeline Development & Testing: Support the end-to-end design, development, optimisation, and testing of enterprise data ingestion and processing frameworks.

• Big Data Processing: Assist in configuring and scripting ETL/ELT data modules using core data tools (Python, PySpark, and SQL) to manage high-volume datasets.

• Requirements Parsing & Systems Analysis: Collaborate with data product owners to analyse functional business requirements and translate them into technical system documentation.

• SDLC Execution: Apply Software Development Life Cycle (SDLC) best practices, version control tracking, and basic DataOps principles across all assigned project modules.

• Global Architecture Collaboration: Work seamlessly with distributed data squads, participating in agile scrums and sharing project modules across cross-functional global teams.

• Executive Technical Presentation: Synthesise your technical contributions and present key engineering outcomes, architecture diagrams, and metrics to leadership at the program’s conclusion.

Candidate Prerequisites & Required Skill Stack

PepsiCo values self-starters who combine rigorous mathematical or computational thinking with a strong attention to detail and a high level of curiosity.

Educational Profile & Background:

• Academic Baseline: Currently pursuing or recently completed a Graduate or Master’s Degree in Computer Science, Information Technology, Data Science, or a highly related quantitative engineering discipline.

• Operational Trajectory: Highly adaptable and flexible mindset, capable of innovating and solving complex algorithmic bottlenecks in a fast-paced environment.

Required Technical Competencies:

• The Programming Core: A strong, functional foundation in data engineering scripting languages—specifically Python, PySpark, and relational structured queries (SQL).

• Database Foundations: A clear understanding of foundational database mechanics, indexing, schemas, and relational table structures.

• Interpersonal Dynamics: Strong team-oriented collaboration instincts combined with exceptional communication and active listening habits.

Preferred Experience (The Plus Stack):

• Big Data Frameworks: Practical exposure to cloud-scale data processing engines like Databricks, Apache Spark, and advanced complex SQL optimization routines.

• Cloud Architecture Platforms: Familiarity or academic experience with enterprise cloud environments, including Microsoft Azure, AWS, or GCP.

• Data Ops & Pipeline Architecture: Conceptual exposure to modern Data Analytics infrastructure—including automated ETL pipelines, data validation, and pipeline observability.

• Business Intelligence Foundations: A basic understanding of data warehouse consumption layers and reporting tools like Power BI or Tableau.

Core Position Specifications

• Position Title: Graduate Data Engineer

• Requisition Code: 455130

• Hiring Enterprise: PepsiCo Spain (Strategy & Transformation Digital Hub)

• Primary Work Location: Vitoria, Basque Country, Spain (Onsite Digital Hub)

• Employment Framework: Graduate Program / Internship Track

• Core Systems Domain: PySpark ETL Engineering, Databricks Infrastructure, Cloud Architecture Modelling, Relational & NoSQL Datasets, DataOps Pipelines