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# Data Engineer

- **Company:** Antal International
- **Location:** Madrid, Spain
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Continuous Integration, Data Architecture, Information Engineering, Data Systems, Python (Programming Language), Machine Learning, SQL Databases, Snowflake, Technical Debt, Software Version Control, Service Stack, Databricks
- **Published:** November 1, 2026
- **Apply:** https://www.jobleads.com/es/job/data-engineer--madrid--e1362b1d859772d6f48a7ffafaa51961f

## About the Role

We are looking for a Senior Data Engineer with at least 4 years of proven experience in data engineering to join a distributed team embedded within a software company, with the goal of simplifying the data architecture, raising quality standards, and accelerating the delivery of data products ready for analytics, reporting, and artificial intelligence., * Demonstrable experience of at least 4 years as a Data Engineer, with strong command of SQL and Python, and the ability to design transformations that are clear, efficient, and testable.

 * Hands-on proficiency with the technology stack: Databricks, Airflow, dbt, and Snowflake.
 * Strong analytical skills to tackle complex problems, propose alternatives, and communicate technical decisions clearly. Product mindset and a focus on continuous improvement.
 * Knowledge of data modeling, version control, CI/CD, observability, and data quality.
 * Highly valued: experience applying generative AI or machine learning to accelerate engineering tasks or enable new data products.

## Description

We are looking for a Senior Data Engineer with at least 4 years of proven experience in data engineering to join a distributed team embedded within a software company, with the goal of simplifying the data architecture, raising quality standards, and accelerating the delivery of data products ready for analytics, reporting, and artificial intelligence.

Our client is a software company offering real engineering challenges at scale, operating within a cross-functional environment that spans Data Engineering, BI, and product teams.

Requirements

 * Demonstrable experience of at least 4 years as a Data Engineer, with strong command of SQL and Python, and the ability to design transformations that are clear, efficient, and testable.
 * Hands-on proficiency with the technology stack: Databricks, Airflow, dbt, and Snowflake.
 * Strong analytical skills to tackle complex problems, propose alternatives, and communicate technical decisions clearly. Product mindset and a focus on continuous improvement.
 * Knowledge of data modeling, version control, CI/CD, observability, and data quality.
 * Highly valued: experience applying generative AI or machine learning to accelerate engineering tasks or enable new data products.

Responsibilities

 * Orchestrate processes with Airflow, incorporating monitoring, alerting, retries, and quality checks.
 * Design and evolve analytical models with dbt, applying best practices in modularity, testing, documentation, and lineage.
 * Contribute to defining layered architectures and data contracts that facilitate consumption by BI, analytics, and AI.
 * Optimize performance, cost, and reliability of pipelines, helping identify technical debt and opportunities for simplification.
 * Work with business, BI, and platform stakeholders to translate real needs into sustainable data solutions.
 * Explore and apply AI use cases that improve development, quality, or documentation.

What we offer

 * Permanent contract.
 * Career development and personalized training.
 * Real challenges in architecture, quality, automation, and scalability.
 * Cross-functional way of working alongside Data Engineering, BI/Reporting, and other product and technology teams.