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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Platform Engineer, hibrido - **Company:** UST - **Location:** Spain - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Airflow, Software Applications, Microsoft Azure, Cloud Computing, Software Quality, Code Review, Information Systems, Information Engineering, Data Infrastructure, Data Warehousing, DevOps, Monitoring of Systems, Internetworking, Python (Programming Language), Metadata, Performance Tuning, Cloud Services, DataOps, Azure Data Lake, Salesforce.Com, Software Engineering, Enterprise Data Management, Data Ingestion, Azure Data Factory, Sql Optimization, Snowflake, Apache Spark, Git, Event Driven Architecture, Pyspark, Information Technology, Apache Kafka, Data Management, Restful APIs, Terraform, Data Pipelines, Serverless Computing - **Published:** July 28, 2026 - **Apply:** https://www.empleate.gob.es/empleo/#/oferta/1856211703 ## About the Role years of experience in Advanced SQL and Data Modeling. - 3+ years of experience with: - dbt - Apache Airflow - Azure DevOps - CI/CD Pipeline Development - Strong experience with: - Data Warehousing and ELT concepts - Git and version control - Performance optimization and troubleshooting - Salesforce integrations - Experience integrating Salesforce Sales Cloud, Service Cloud, or Financial Services Cloud with enterprise data platforms. - Hands-on experience with Salesforce APIs (REST/Bulk APIs), CDC, and extraction frameworks. - Experience building ingestion pipelines from Salesforce into Snowflake. - Strong understanding of Salesforce objects, metadata, security, and data models. - Experience working in Agile environments and distributed global teams. - Strong communication and stakeholder management skills. - Bachelors or Masters degree in Computer Science, Engineering, Information Systems, or a related field. Nice to Have: - Azure Data Factory (ADF) - Azure Functions - ADLS Gen2 / Azure Storage - Terraform / Infrastructure as Code - Data Observability Monitoring tools - Kafka and Event-Driven Architectures - PySpark / Apache Spark - Experience in: - Financial Services - Asset Management - Wealth Management - Regulatory Reporting - Investment Data Platforms - Salesforce Financial Services Cloud - Enterprise Data Modernization Programs What can we offer? - 23 days of Annual Leave plus the 24th and 31st of December as discretionary days! - Numerous benefits (Health Care Plan, Internet Connectivity, Life and Accident Insurances). - Retribución Flexible 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. - ## Description cross-functional Agile team operating under a DevOps model. - Design, develop, deploy, release, and monitor high-quality software applications. - Participate in code reviews and contribute to engineering best practices. - Collaborate with business stakeholders to understand and translate business requirements into technical solutions. - Participate in planning, backlog refinement, and feature definition sessions. - Work closely with Solution Architects to align developments with the organizations architecture strategy. - Contribute actively to Software Engineering communities, sharing knowledge and mentoring colleagues. - Ensure code quality, maintainability, testing, and adherence to engineering standards. - Promote continuous improvement and ownership throughout the software development lifecycle. Mandatory requirements: - 10+ years of experience in Data Engineering and Cloud Data Platforms. - 5+ years of experience with Snowflake. - 5+ years of experience with Python. - 8+ ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [Spanish Business Culture and Etiquette](https://www.wearedevelopers.com/magazine/353-spanish-business-culture-and-etiquette) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Highest Paying Tech Companies in Europe](https://www.wearedevelopers.com/magazine/162-highest-paying-tech-companies-in-europe) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)