data engineer for the Air Transport Industry
Posted Updated
Summary
Data engineer at SITA designing scalable cloud data architectures and ETL/ELT pipelines for the air transport industry, with data governance, cataloguing, and AI/ML use cases using Databricks, Spark, Azure (Event Hub, AzureML), SQL, Python, and LLMs. Hybrid role in Barcelona with up to 2 days/week remote.
Описание
SITA provides technology and communication solutions for the global air travel industry, serving international airports and transportation and government clients. Its solutions support airport operations, airlines, and border services.
Задачи
- Design scalable cloud-based data architectures focused 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, including platform services, system tables, and reference implementations, and guide portfolio teams on ETL/ELT best practices;
- Apply data governance, cataloguing, and quality monitoring in line with guidelines to ensure trustworthy, well-documented data;
- Collaborate with data architects, scientists, analysts, and business stakeholders across the Air Transport Industry to translate requirements into technical solutions;
- Apply technologies such as Databricks, AzureML, and LLMs to enable use-case-driven advanced analytics and AI/ML.
Требования
- 3–5 Years of technical experience with Big Data systems;
- Familiarity with Databricks, Spark, and event streaming such as Azure Event Hub or Kafka;
- Proficiency in SQL and Python, with clean coding and OOP practices;
- Cloud deployment experience; Azure is preferred;
- Strong collaboration skills and the ability to enable and advise teams without taking ownership of their delivery;
- Proactive, solution-oriented, flexible, and adaptable in dynamic environments;
- Curious and eager to learn new tools and improve processes;
- Nice to have: data visualization with Power BI, Databricks Dashboards, or Tableau; dimensional modelling; data warehouse design.
Условия
- Work from home up to 2 days/week, depending on the team's needs;
- Flexible workday;
- Work from any location in the world for up to 30 days a year;
- Employee Assistance Program for employees and dependents, available 24/7, 365 days/year;
- Access to Champion Health, a personalized wellbeing platform;
- Professional development resources, including learning platforms and programs;
- Competitive benefits aligned with the local market and employment status.