? We are still looking for the very Top Talent… and we would be delighted if you were to join our team
More in detail, UST is a multinational company based in North America, certified as a Top Employer and Great Place to Work, with over 35,000 employees worldwide and a presence in more than 35 countries. We are leaders in digital technology services, providing large-scale technology solutions to major companies.

? What we look for?
We are looking for a practical, hands-on Software/Data Engineer to help build, modernize, and support our client's Data Platform.
We are seeking someone who combines strong data engineering expertise with a structured and proactive approach to problem-solving. You will work with technologies including Snowflake, SQL, Python, dbt, Azure Data Factory, Generative AI and Power BI, contributing both to new solutions and existing production environments.

⚙ Key Responsibilities:
• Design, develop and maintain Snowflake data models, transformations, views and data pipelines.
• Build and enhance dbt models, including testing, documentation and deployment.




• Develop and maintain ETL/ELT workflows and data integration solutions.
• Support Azure Functions, Azure Data Factory and Azure Pipelines, including deployment activities.
• Develop Python utilities, automation tools and services for data processing, testing and troubleshooting.
• Work with Azure DevOps and/or GitHub, including pull requests, code reviews and CI/CD pipelines.
• Support production systems, investigate incidents, perform root cause analysis and drive operational improvements.
• Contribute to Generative AI and AI-enabled solutions, leveraging tools such as GitHub Copilot.
• Support existing .NET/C# services and occasionally contribute to React/TypeScript applications.
• Collaborate with engineers, analysts and business stakeholders to turn requirements into scalable, maintainable solutions.
• Support data platforms powering Power BI dashboards, analytics, semantic models, client

📌 Senior Data Engineer (España)
🏢 UST España & Latam
📍 España