We're the team that keeps airports moving, airlines flying smoothly, and borders open. Our tech and communication innovations are the secret behind the success of the world's air travel industry.
You will be part of the highly talented individuals' team responsible for bringing the Air Transport Industry data to the next level. Your day by day will include working with Data Pipelines, extracting and digging into different Datasets coming from Airports, Airplanes, and Ground Handlers, to understand it and get insights that then we will use to train ML Models so we can make this industry more reliable and easier to operate. We have tons of data and now we want to make use of it to make our customers' lives easier
This position requires an office presence of 3 days a week on our offices near to Madrid Airport or in Barcelona city Centre.
Key Responsibilities Work together with the team in designing scalable cloud-based data architectures with a focus on performance, cost-efficiency, and security.




Develop reference ingestion patterns and templates for integrating data from enterprise systems, APIs, and external datasets.
Develop and maintain pipelines (e.g. platform services, system tables, reference implementations) and provide guidance on ETL/ELT best practices for portfolio teams.
Apply and validate data governance, cataloguing, and quality monitoring (compliance with guidelines) to ensure trustworthy and well-documented data.
Collaborate with data architects, scientists, analysts, and business stakeholders across the Air Transport Industry to translate requirements into technical solutions.
5+ years of technical experience with Big Data systems.
Familiarity with Databricks, Spark and event streaming (e.g. Azure Event Hub, Kafka).
Proficiency in SQL and Python, with clean coding and OOP practices.
Cloud deployment experience (Azure preferred).
Knowledge of data visualization (e.g. Power BI, Databricks Dashboards, Tableau, etc).
Strong understanding of dimensional mod

📌 Lead Engineer/Data Engineer (Madrid)
🏢 Sita
📍 Madrid