Data Engineer (Snowflake)- (Remote, Spain)

We are looking for the very Top Talent...and 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 ****** 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).
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
In UST we are committed to equal opportunities in our selection processes and do not discriminate based on race, gender, disability, age, religion, sexual orientation or nationality. We have a special commitment to Disability & Inclusion, so we are interested in hiring people with disability certificate.
Skills:
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