Senior Data Engineer
New
European UnionFull-TimeSenior
Salary not disclosed
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Job Details
- Required Skills
- PythonSQLMicrosoft Power BIAzure DevOpsPySpark
Requirements
- Hands-on development experience across Power Apps, Power Automate, and Power BI.
- Strong working proficiency in Python and SQL for data transformation and pipeline development.
- Practical experience with Microsoft Fabric, including medallion architecture, Lakehouses, and Dataflows Gen2.
- Experience with Azure Data Factory for orchestrating data ingestion and transformation.
- Experience migrating or ingesting data from databases, APIs, files, and legacy systems.
- Solid understanding of Dataverse, including table design, security roles, and relationships.
- Experience working in an engineering, manufacturing, or industrial sector.
- Ability to work collaboratively as part of a small team.
- Familiarity with Azure DevOps for source control and release management.
- Microsoft certifications such as PL-400, PL-300, DP-600, or DP-700 are a plus.
- Familiarity with PySpark notebooks or CI/CD for Power Platform is desirable.
Responsibilities
- Design, build, and maintain pipelines to ingest and migrate data from diverse sources into Microsoft Fabric.
- Implement and maintain Fabric medallion architecture with structured transformation logic.
- Write Python and SQL for data transformation, cleansing, and modelling within Fabric.
- Build and orchestrate pipelines using Azure Data Factory or Fabric Data Factory.
- Develop and maintain Power Apps and Power Automate flows.
- Create Power BI reports and dashboards consuming curated data.
- Maintain Dataverse tables, relationships, and security models.
- Harden CI/CD pipelines for Power Platform and data engineering code using Azure DevOps.
- Establish and document development standards and code review practices.
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