Data Engineer

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, Diageo, 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 Engineer at Shalion, you will play a key role in building and optimizing data solutions. You will work with modern data technologies, automate workflows, and ensure high-quality data delivery to empower business decisions.

Your Responsibilities

• Ingest data from our internal cloud storage system via S3 using parquet files and Iceberg tables.


• Ingest data from our backend microservices databases via Airbyte.


• Be proficient in writing clear, efficient SQL queries.


• Develop and maintain data models in Snowflake, Looker, and dbt.


• Automate data pipelines using Apache Airflow.


• Apply software engineering practices like version control and continuous integration.


• Provide guidance to data visualization specialists and data scientists on engineering best practices.


• Collaborate with product teams to understand business requirements and deliver analysis-ready data.

Your profile should include the following:

• 2+ years of experience in data or analytics engineering roles.


• Proficiency in SQL and data modeling.


• At least 2 year of experience with data-related programming languages like Python.


• Experience working with cloud platforms like AWS, GCP or Azure.


• Familiarity with GitHub best practices and daily usage for version control.


• Knowledge of software development best practices applicable to analytics, including testing, CI/CD, and automation.


• Understanding of Data Engineering fundamentals (ETL, Data Modeling, etc.).


• Strong communication skills and ability to collaborate with stakeholders.


• English level: B1 or higher.

Nice-to-Have Skills

• Experience with data modeling in DBT or similar tools.


• Experience with data-related programming languages like Java or Scala.


• Familiarity with data modeling techniques like Kimball.


• Knowledge of modern data table formats (Delta, Iceberg, or Hudi).

Soft Skills We Value

• Adaptability – Ability to find solutions in uncertain situations.


• Curiosity – Eagerness to learn and engage in constructive discussions.


• Quality-Oriented – Awareness of data quality and the importance of code testing.


• Analytical Thinking – Strong problem-solving skills.


• Collaboration – Experience working in Agile environments.

What We Offer

🌍 An international team – Work with colleagues from 10+ nationalities.

🚀 A dynamic and innovative environment – Be part of a high-performing team.

🏢 Hybrid work model – 3 days in-office, 2 days remote.

💡 Impactful work – Contribute to a challenging and innovative project.

🎟 Flexible benefits – Meal & transport allowance, healthcare at a preferred price.

🍏 Office perks – Fresh fruit and specialty coffee daily.

📄 Contract – Permanent

💰Salary range – from 35,000€ to 45,000€ gross/yearly, according to experience and seniority.

📍 Great location – Office in Barcelona’s Sarrià-Sant Gervasi district.

Shalion Data Services Limited is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.