Shalion is a data and insights-driven company that serves world-class manufacturers and brands globally. Through our

Digital Shelf Optimization,

Retail Media , and

Food Service Aggregators

solutions, we provide innovative tools for e-commerce monitoring.

At Shalion, we empower brands to make smarter business decisions in eCommerce by delivering actionable data and insights on online product prices, availability, share of search, and more. We operate across 1000+ e-retailers in 60+ countries, serving industry giants such as Heineken, Lego, Danone, Nestlé, and JDE.

As a leader in data intelligence, we specialize in gathering, analyzing, and applying proprietary artificial intelligence to deliver relevant data and monitoring tools, helping our clients maximize their e-commerce performance.

The role
As a

Data Platform Engineer

at Shalion, you will own the foundations the rest of the data organization depends on every day: our

Snowflake

platform, our

AWS

lakehouse built on

Iceberg

tables, our

Airflow

orchestration layer, and the

Terraform





code that provisions all of it.

Your Responsibilities

Own and evolve our Snowflake platform: warehouses, databases, storage integrations, stages, external tables, shares and network policies.

Design and maintain our access model: role hierarchies, grants and least-privilege permissions for people, service users and external partners.

Manage the platform as code with Terraform, reviewed in pull requests and deployed through GitHub Actions.

Operate our AWS lakehouse: ingestion of parquet files and Iceberg tables from S3, plus the IAM plumbing that connects AWS and Snowflake safely.

Orchestrate and harden pipelines in Apache Airflow, and drive reliability and cost efficiency with Synq and SELECT.dev.

Apply security and governance best practices: authentication, secret management, naming conventions and clear data ownership.

Your profile should include the following

3+ years of experience in data platform, data e

📌 Data Platform Engineer (Madrid)
🏢 Shalion
📍 Madrid