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# Senior Data Engineer (Snowflake/Dbt) - Remote

- **Company:** UST España
- **Location:** Lleida (Lérida), Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Microsoft Azure, C Sharp (Programming Language), Code Review, Continuous Integration, Information Engineering, Data Integration, Extract Transform Load (ETL), DevOps, Digital Technology, Dimensional Modeling, Github, Internetworking, Python (Programming Language), Meta-Data Management, OAuth, Performance Tuning, Power BI, SQL Databases, Systems Integration, TypeScript, Data Processing, Azure Data Factory, GitHub Copilot, ReactJS, Snowflake, Generative AI, Webpack, Data Lineage, Data Management, Software Version Control, Data Pipelines, Serverless Computing, Atlassian Bamboo
- **Published:** November 3, 2026
- **Apply:** https://www.buscojobs.com.es/senior-data-engineer-snowflake-dbt-remote-en-lleida-ID-378366964

## About the Role

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 effectively 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 such as
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

## 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 aTop Employer and Great Place to Work, with over35,000 employees worldwideand a presence in more than35 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-onSoftware/Data Engineerto help build, modernize, and support our client'sData 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 includingSnowflake, SQL, Python, dbt, Azure Data Factory, Generative AI and Power BI, contributing both to new solutions and existing production environments.Design, develop and maintainSnowflakedata models, transformations, views and data pipelines.Build and enhancedbtmodels, including testing, documentation and deployment.Develop and maintainETL/ELT workflowsand data integration solutions.DevelopPythonutilities, automation tools and services for data processing, testing and troubleshooting.Work withAzure 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 toGenerative AI and AI-enabled solutions, leveraging tools such as GitHub Copilot.Support existing.NET/C# servicesand occasionally contribute toReact/TypeScriptapplications.Collaborate with engineers, analysts and business stakeholders to turn requirements into scalable, maintainable solutions.Support data platforms poweringPower BI dashboards, analytics, semantic models, client insights and AI-driven use cases.Strong experience withSQL, Snowflake and data engineering.Good understanding ofdimensional modelling and Kimball methodology, including facts, dimensions, grain, historical data and conformed dimensions.Hands-on experience building and maintainingdbtmodels and applying engineering best practices.Experience withAzure Data Factory, Azure Functions and Azure Pipelines.StrongPythonprogramming skills for data engineering, automation, testing and integrations.Experience withGenerative AI tools and AI-enabled solutions.Familiarity withAzure DevOps and/or GitHub, version control and CI/CD methodologies.Knowledge ofPower BI, semantic models and data consumption patterns.Ability to work autonomously on well-defined requirements while collaborating effectively with technical and business stakeholders.Nice to have:Experience with.NET/C# and xUnitor similar testing frameworks.Knowledge ofReact, TypeScript, Vite, React Query, MSAL and OAuth.Advanced Snowflake capabilities such asSnowpipe, Streams, Tasks, Secure Views and performance tuning.Experience inFinancial Services, Asset Management, Marketing or Client Servicesenvironments.Understanding ofmetadata management, data lineage and modern data products.What can we offer?23 days of Annual Leave, plus December 24th and 31st as discretionary days!Health Care Plan, Internet Connectivity, Life and Accident Insurance.Free access to severaltraining platforms.Professional stability and career development plans.Referral compensation when you recommend professionals who join UST.Option to choose between12 or 14 salary paymentsthroughout the year.Real Work-Life Balance:flexibility, WFH/remote work policy and reduced working hours during summertime.UST Clubplatform discounts and gym discounts.UST is committed toequal opportunitiesthroughout our recruitment processes. We value diverse talent and are committed to fostering an inclusive workplace where candidates are assessed on their skills, experience and suitability for the role.#J-*****-Ljbffr