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# Data Platform Engineer

- **Company:** UST España
- **Location:** Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Airflow, Business Analytics Applications, Microsoft Azure, Cloud Computing, Information Systems, Information Engineering, Data Systems, Data Warehousing, Digital Assets, Monitoring of Systems, Python (Programming Language), Metadata, Performance Tuning, Cloud Services, Azure DevOps Pipelines, DataOps, Azure Data Lake, Salesforce.Com, SQL Databases, Enterprise Data Management, Enterprise Software Applications, Data Ingestion, Azure Data Factory, Sql Optimization, Delivery Pipeline, Snowflake, Apache Spark, Event Driven Architecture, Pyspark, Information Technology, Deployment Automation, Apache Kafka, Data Management, Restful APIs, Terraform, Serverless Computing
- **Published:** August 12, 2026
- **Apply:** https://es.trabajo.org/oferta-4112-27997caef9322a99d806bf53ef79679c

## About the Role

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. Bachelor's or Master's 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

## Description

ELT/ETL frameworks leveraging dbt, Airflow, Python, and SQL. Integrate data from Salesforce and other enterprise systems into analytical platforms. Design and implement orchestration, monitoring, and automation solutions. Develop and maintain Azure DevOps CI/CD pipelines for automated deployment of data assets. Collaborate with business, architecture, and application teams to deliver high-quality data solutions. Implement data quality, governance, lineage, and security best practices. Troubleshoot and optimize performance issues within Snowflake environments. Support production releases and mentor junior engineers. 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+ 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


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