We are looking for the very Top Talentand we would be delighted if you were to join our team 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. What we look for We are looking for a practical and hands-on Software/Data Engineer to help build modernize and support the Client Group Data Platform.

The ideal 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. They should be comfortable working independently on well-defined tasks collaborating with stakeholders and contributing to continuous improvement initiatives.

Main tasks and accountabilities will be 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. Support and maintain existing .NET/C# services and occasionally contribute to React/TypeScript applications. Collaborate with engineers analysts and business stakeholders to translate requirements into scalable and maintainable solutions.

Support data platforms that enable reporting analytics Power BI dashboards client insights semantic models and AI-driven use cases. What do we expect from you Technical Skills 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.

Experience building and maintaining dbt models and applying engineering best practices. 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.

Experience with Generative AI tools and AI-enabled solution development. 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.



Nice to Have Experience with .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.

Experience within Financial Services Asset Management Marketing or Client Services environments. Understanding of metadata management lineage and modern data products.

Soft Skills

Takes ownership and delivers high-quality work with minimal supervision. Communicates clearly and raises issues or blockers early. Approaches problems logically and explains technical concepts in a simple manner. Balances delivery speed with quality testing governance and maintainability. Works collaboratively with technical and non-technical stakeholders. Demonstrates curiosity adaptability continuous learning and a commitment to improving team practices.

Work Location 100 remote (Spain) Work Schedule Business hours. What can we offer 23 days of Annual Leave plus the 24th and 31st of December as discretionary days Numerous benefits (Health Care Plan teleworking compensation Life and Accident Insurances).

Retribución Versátil

Program (Meals Kinder Garden Transport online English lessons Health Care Plan) Free access to several training platforms Professional stability and career plans UST also compensates referrals from which you could benefit when you refer professionals. The option to pick between 12 or 14 payments along the year.

Real Work Life

Balance measures (flexibility WFH or remote work policy compacted hours during summertime) UST Club Platform discounts and gym Access discounts If you would like to know more dont hesitate to apply and well get in touch to fill you in detail. We are waiting for you

📌 Data Engineer (Snowflake) (Madrid)
🏢 Ust
📍 Madrid