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.

📌 Data Engineer (Madrid)
🏢 Antal International
📍 Madrid