More in details, UST is a multinational company based in North America, certified as a Top Employer and Great Place to Work company with over 35.000 employees all over the world and presence in more than 35 countries. We are leaders on digital technology services, and we provide large-scale technologic solutions to big companies.
We are looking for a practical and hands-on Software/Data Engineer to help build, modernize, and support the Client Group Data Platform. The adecuado candidate combines strong data engineering expertise with a structured and proactive approach to problem-solving, capable of delivering reliable solutions from clear requirements while supporting production environments effectively.
The successful candidate will have solid experience in Snowflake, SQL, Python, Azure Data Factory, Generative AI, and Power BI, together with knowledge of modern development practices, CI/CD processes, and cloud-based data solutions. Design, develop, and maintain Snowflake data models, transformations, views, and data pipelines.
Build and enhance dbt models, including testing, documentation, and deployment processes.
Develop and maintain ETL/ELT workflows and data integration solutions.
Support and manage Azure Functions, Azure Data Factory, Azure Pipelines, and deployment activities.
Create Python-based utilities, automation tools, and services for data processing, testing, and troubleshooting.
Work with source control systems such as Azure DevOps or GitHub, including pull requests, code reviews, and CI/CD pipelines.
Maintain and support production systems, investigate incidents, perform root cause analysis, and improve operational support capabilities.




Contribute to AI-enabled solutions and leverage tools such as GitHub Copilot to improve productivity, code quality, and documentation.
NET/C# services and occasionally contribute to React/TypeScript applications.
Support data platforms that enable reporting, analytics, Power BI dashboards, client insights, semantic models, and AI-driven use cases.
Strong experience with SQL, Snowflake, and data engineering concepts.
Good understanding of dimensional modeling (Kimball methodology), including facts, dimensions, grain, historical data, and conformed dimensions.
Hands-on experience with Azure Data Factory, Azure Functions, Azure Pipelines, and cloud-based deployments.
Strong programming skills in Python for data engineering, automation, testing, and integrations.
Familiarity with version control platforms such as Azure DevOps or GitHub and CI/CD methodologies.
Knowledge of Power BI, semantic models, and data consumption patterns.
NET/C#, xUnit, or similar testing frameworks.
Knowledge of React, TypeScript, Vite, React Query, MSAL, and OAuth authentication.
Advanced Snowflake capabilities such as Snowpipe, Streams, Tasks, Secure Views, and performance tuning.
Understanding of metadata management, lineage, and modern data products.
Takes ownership and delivers high‑quality work with minimal supervision.
Balances delivery speed with quality, testing, governance, and maintainability.
Work Location 100% remote (Spain)
Numerous benefits (Health Care Plan, teleworking compensation, Life and Accident Insurances).
~ Free access to several training platforms
~ Real Work Life Balance measures (flexibility, WFH or remote work policy, compacted hours during summertime…)
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📌 Data Engineer (España)
🏢 UST España & Latam
📍 España