Data Engineer Masterdata
Core
Design, develop, and optimize data flows, pipelines, and integrations to ensure reliable availability and processing of master data within the organization.
Role type
Senior Data Engineer (Master Data)
Builds
Scalable and traceable data pipelines and integrations for master data processing, validation, enrichment, and distribution.
Domain
Financial services / Data Engineering / Master Data Management
Deliverable
production ML models | product features | infrastructure
Required skills
SQL, Python, Apache Spark, Azure Synapse, Power BI/DAX, Azure DevOps, CI/CD, Dimensional Modeling (Kimball), Master Data Hub concepts
Preferred skills
Azure Data Factory, Microsoft Fabric, Databricks, YAML, Bicep, PowerShell, Test automation frameworks
Technologies
Azure, Azure SQL, SQL Server, Apache Spark, Azure Synapse, Power BI, Azure DevOps, Azure Data Factory, Microsoft Fabric, Databricks
Responsibilities
Design and implement ETL/ELT processes and data streams; Set up and maintain data pipelines and integrations with source and target systems; Ensure data quality, validation, and monitoring; Optimize performance, scalability, and maintainability of data solutions; Stabilize production environments and handover to operations.
Seniority
Senior, hands-on IC
