Mercadona Tech Tech Stack

E-commerce platform and logistics optimization for a major Spanish supermarket chain

Retail Valencia, Valencian Community 51–200 employees Founded 2016 Privately Held

Mercadona Tech operates the online fulfillment platform for Mercadona, processing over 10,000 orders daily across Spain. The stack reveals a logistics-first engineering org: Python + Kotlin, Kubernetes containerization, OR-Tools for routing optimization, and a heavy ML/data layer (scikit-learn, XGBoost, BigQuery, dbt). Active projects around fleet routing, delivery prediction, and data ecosystem transformation signal a company scaling from e-commerce basics toward algorithmic supply-chain automation—a structural shift reflected in hiring skewed toward senior engineers and data roles.

Tech Stack 18 technologies

Core StackPostgreSQL Kubernetes BigQuery Metabase Kotlin dbt Grafana Docker scikit-learn Jenkins Python Elasticsearch Sentry SQL Android Argo Workflows OR-Tools XGBoost

What Mercadona Tech Is Building

◆Challenges

Optimizing logistics routing
Scaling to millions of users
Stability and security of tech ecosystem
Transforming complex data ecosystems
Identifying key performance indicators
Improving e-commerce user experience
Automating business processes

▲Active Projects

Data ecosystem transformation
Logistics routing optimization
E-commerce section improvement
Fleet routing algorithm
E-commerce section personalization
Delivery time prediction

Hiring Activity

Steady7 roles · 2 in 30d

Department

Engineering

Data

Seniority

Senior

Mid

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About Mercadona Tech

Mercadona Tech is the technology division of Mercadona, Spain's largest supermarket chain, responsible for the online shopping platform and supporting logistics. The company operates two tech hubs (Valencia and Madrid) with 180 engineers and data specialists, plus 2,000 cross-functional staff across five Spanish cities handling fulfillment, warehousing, and last-mile delivery. The platform delivers thousands of orders daily and sits at the intersection of high-volume e-commerce and real-time logistics—requiring both customer-facing product work and backend optimization of routing, forecasting, and supply-chain automation.

HeadquartersValencia, Valencian Community

Company Size51–200 employees

Founded2016

Hiring MarketsSpain

Frequently Asked Questions

What tech stack does Mercadona Tech use?

PostgreSQL, Kubernetes, Python, Kotlin, BigQuery, dbt, Elasticsearch, Grafana, Metabase, Sentry, Argo Workflows, OR-Tools, scikit-learn, and XGBoost. The mix indicates a data-driven logistics platform built on containerized infrastructure.

What is Mercadona Tech working on?

Core projects include data ecosystem transformation, logistics and fleet routing optimization, delivery time prediction, and e-commerce personalization. The emphasis reflects scaling from basic online fulfillment toward algorithmic supply-chain efficiency.