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# Data Engineer

- **Company:** Mailerlite
- **Location:** Madrid, Spain (Remote available)
- **Salary:** €50,000.0 - €85,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Data Analysis, Big Data, BigQuery, Databases, Extract Transform Load (ETL), Data Warehousing, Python (Programming Language), PostgreSQL, Performance Tuning, SQL Databases, Jupyter Notebook, Google Cloud, Large Language Models, Data Lakes, Docker
- **Published:** July 17, 2026
- **Apply:** https://www.adzuna.es/contact-us.html

## About the Role

+ Strong knowledge of Python and SQL
 + Familiarity with data warehouses and performance optimization techniques
 + Experience experimenting with AI/LLMs models
 + Basic Docker knowledge
 + Good communication skills
 + Based in EMEA or Asia
Nice to have/bonus skills:

 + Familiarity with AirFlow, AirByte, dbt
 + Familiarity with Google Colab, Jupyter Notebooks
 + Knowledge of Data Lake principles
 + Knowledge of Google Cloud Platform

## Description

You'll use tools like BigQuery, Postgress, Airflow and Airbyte to build and maintain ETL processes. You'll also use JupyterHub/Colab to analyze data and experiment with AI models.

 + Space for experiments and new ideas
We constantly look for innovative ways to add value for our customers. As part of the team, you'll have the freedom to experiment, learn, and try new things.

 + Ownership and autonomy
We trust you to take full responsibility and ownership of your work. Our team leads avoid micromanagement and minimize interruptions so you can stay focused on your assignments.

 + Expert support
You'll be working with teammates who have a wide range of expertise and are always ready to help you grow. We also encourage you to share your knowledge with them.

 + Flexible remote work
We are a fully remote company. You can choose the environment where you're most productive every day.

 + Stability and growth
We value a stable workplace! MailerLite has been thriving for over 10 years, and our year-over-year growth continues to increase.
What you'll work on

 + Use Python to transform, process, and integrate data
 + Optimize performance across big data workflows
 + Work on AI experiments and implementation
 + Handle vast amounts of data in multiple databases


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