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# Middle/Senior Data Engineer (Microsoft Fabric)

- **Company:** Itransition
- **Location:** La Unión, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Unit Testing, Microsoft Azure, Extract Transform Load (ETL), Data Mart, Data Visualization, Data Warehousing, IBM DB2, Relational Databases, DevOps, Python (Programming Language), PostgreSQL, Microsoft SQL Server, MongoDB, MySQL, Online Analytical Processing, NoSQL, Online Transaction Processing, Oracle (Applications), Performance Tuning, Power BI, Standard Sql, SQL Databases, SQL Server Reporting Services, SQL Server Integration Services, Data Streaming, Subversion, Tableau (Software), Talend, Workflow Management Systems, YAML, Azure Data Factory, Git, Microsoft Fabric, Pyspark, Cassandra, AWS Glue, Qlikview, Data Pipelines, Databricks, Programming Languages
- **Published:** September 25, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=0008d49dc89a454f

## About the Role

* 3+ years of commercial Data Engineer experience
 * Strong knowledge of SQL
 * Experience in ETL/ELT processes design, development, and maintenance
 * Experience in DWH modeling and Data Mart design
 * Hands-on experience with Microsoft Fabric (Lakehouse, Fabric Warehouse, Data Pipelines, Notebooks)
 * Experience with ETL/Orchestration tools (MS Fabric Data Factory /Azure Data Factory - preferred, SSIS, Apache Airflow, AWS Glue, Talend, etc.)
 * Experience with at least one RDBMS (Microsoft SQL Server, MySQL, PostgreSQL, Oracle, DB2)
 * Experience in OLAP/OLTP queries performance tuning
 * Experience working with cloud platforms (Azure preferred)
 * Experience with at least one VCS (Git, SVN, etc.)
 * Experience with programming languages (PySpark, Python)
 * Experience working in an Agile/Scrum development process
 * Upper-Intermediate or above level of English, * Experience with Databricks
 * Experience with BI visualization tools (e.g. Power BI, SSRS, Tableau, or Qlik)
 * Experience with NoSQL databases (Mongo, Cassandra, etc.)
 * Understanding of DevOps practices and CI/CD pipeline concepts, including working with YAML-based pipeline definitions
 * Experience with unit and integration testing, * Collaborate with product managers and fellow engineers to help define and implement innovative data deliverables
 * Build complex ETL pipelines
 * Support data flows effectively
 * Improve system's performance and maintainability, optimize SQL queries
 * Follow and promote data best practices and standards



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