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.

#J-18808-Ljbffr

📌 Data Engineer (Madrid)
🏢 Antal International
📍 Madrid