Overview
Data Engineering Manager – Global Digital Commerce
Location: Vitoria, Alava ES | PepsiCo
The next major shift in consumer behavior driven by technology is already underway—and the
food & beverage industry
is at the center of this transformation.
While many industries have adopted digital-first business models, food & beverage has historically relied on traditional brick-and-mortar channels. That reality is changing fast. Digital marketing, online grocery platforms, and advanced supply chain technologies are redefining how consumers discover, purchase, and receive products.
About The Team
Although PepsiCo is a global, established organization, the
Global Digital Commerce team
operates with the mindset, agility, and ambition of a high-growth technology startup. Our team brings together startup founders, Silicon Valley technologists, industry experts, and leaders who have driven large-scale digital transformation at companies such as Amazon and Walmart.
Our mission is bold:
to build the data and technology capabilities that will reinvent the food & beverage industry and position PepsiCo as the #1 Digital Commerce player for decades to come
.
The opportunity
To accelerate international growth, PepsiCo is expanding its
Global Digital Commerce organization
. We are looking for exceptional talent in
data engineering, analytics, software engineering, and machine learning
to solve complex, high-impact business challenges and deliver best-in-class digital experiences for consumers around the world.
Your role
We are seeking an experienced
Data Engineering Manager
to lead multiple distributed data engineering pods delivering our
international data product roadmap across four global regions
.
This team builds the data foundation that powers all current and future Digital Commerce capabilities, leveraging modern cloud and data warehouse technologies to democratize access to data and enable scalable growth.
The ideal candidate is a proven technical leader with experience managing distributed teams, comfortable operating at both strategic and hands-on levels, and passionate about building high-quality, scalable data platforms. You are a strong collaborator, coach, and mentor who can drive delivery while elevating engineering standards.
Responsibilities
Key responsibilities
Delivery & Execution
* Partner with Data Product Managers to translate product roadmaps into realistic technical plans, providing accurate estimates and identifying risks early.
* Own end-to-end data engineering delivery across regional pods, ensuring high-quality, on-time execution.
* Scale data programs effectively while maintaining strong delivery velocity and platform reliability.
* Establish clear goals, operating rhythms, and expectations, including OKRs, SLAs, and tech-debt management.
* Coordinate dependencies across pods and prioritize work to meet business commitments.
Technical Leadership
* Actively contribute to architecture and technology decisions, ensuring scalable and reusable solutions across markets.
* Lead technical assessments for new market integrations, proactively identifying risks and dependencies.
* Evaluate and introduce tools and practices that improve data quality, engineering efficiency, and developer experience.
* Provide thought leadership on data engineering strategy, governance, and platform evolution.
Engineering Excellence
* Define and embed data engineering best practices across coding standards, data modeling, testing, lineage, and pipeline robustness.
* Drive consistency across regional pods to maximize reuse and reduce duplication.
* Own and manage technical debt, balancing short-term delivery with long-term platform health.
Talent & Team Development
* Lead, coach, and develop pod leads and their distributed teams.
* Foster a culture of accountability, collaboration, technical excellence, and continuous improvement.
* Build team capability and capacity to support ongoing international growth.
Collaboration & Stakeholder Engagement
* Work closely with Data Architecture, BI Engineering, Product Engineering, and Platform teams to ensure alignment.
* Represent regional needs in global platform governance and decision-making forums.
* Partner with U.S. data engineering counterparts, sharing knowledge while respecting independent operating models.
* Act as a trusted data engineering leader for senior technical and business stakeholders.
Qualifications
What you bring
* 10+ years of experience in Data Engineering, with at least 3 years leading large, distributed teams across multiple time zones.
* Experience in Retail and/or E-commerce is strongly preferred.
* Proven track record of scaling data platforms and teams across new domains, sources, or markets.
* Hands-on technical background with the ability to review code, challenge architectural decisions, and dive into complex technical details.
* Experience establishing or significantly improving engineering best practices in growing or maturing environments.
* Strong technical expertise in Python, PySpark, SQL, Airflow, dbt, Big Data technologies (Hadoop, Hive, Impala), AWS, and Azure.
* Familiarity with data governance, data quality frameworks, lineage, and metadata management.
* Experience with agile delivery, sprint planning, backlog management, and multi-team coordination.
* Ability to lead through managers and develop engineering leaders.
* Excellent communication skills and the ability to collaborate effectively with technical and business stakeholders.
* Strong prioritization skills, balancing long-term scalability with short-term delivery needs.
* Bachelor's or master's degree in computer engineering, Data Engineering, or a related field.