Senior Data Engineer (Snowflake/dbt) - Remote
Senior data engineer at IT services multinational UST, building and modernizing a client's data platform day to day with Snowflake, dbt, SQL, Python, Azure Data Factory and Power BI, plus supporting .NET/C# services and Generative AI-enabled solutions. Remote within Spain.
- Compensation
- Not disclosed
- Location
- Spain
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Strong experience with SQL, Snowflake and data engineering
- Good understanding of dimensional modelling and Kimball methodology (facts, dimensions, grain, historical data, conformed dimensions)
- Hands-on experience building and maintaining dbt models with engineering best practices
- Experience with Azure Data Factory, Azure Functions and Azure Pipelines
- Strong Python programming skills for data engineering, automation, testing and integrations
- Experience with Generative AI tools and AI-enabled solutions
- Familiarity with Azure DevOps and/or GitHub, version control and CI/CD methodologies
- Knowledge of Power BI, semantic models and data consumption patterns
- Ability to work autonomously on well-defined requirements while collaborating with technical and business stakeholders
Nice to have
- Experience with .NET/C# and xUnit or similar testing frameworks
- Knowledge of React, TypeScript, Vite, React Query, MSAL and OAuth
- Advanced Snowflake capabilities: Snowpipe, Streams, Tasks, Secure Views and performance tuning
- Experience in Financial Services, Asset Management, Marketing or Client Services environments
- Understanding of metadata management, data lineage and modern data products
Full description
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.
- 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.
- Develop Python utilities, automation tools and services for data processing, testing and troubleshooting.
- Work with Azure DevOps and/or GitHub, inclusive of 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 insights and AI-driven use cases.
- Strong experience with SQL, Snowflake and data engineering.
- Good understanding of dimensional modelling and Kimball methodology, including facts, dimensions, grain, historical data and conformed dimensions.
- Hands-on experience building and maintaining dbt models and applying engineering best practices.
- Experience with Azure Data Factory, Azure Functions and Azure Pipelines.
- Strong Python programming skills for data engineering, automation, testing and integrations.