Supply Chain Data Architect

Nexi Group

. Own day-to-day platform operations, including monitoring, troubleshooting, and incident resolution across Microsoft Fabric, Azure Data Lake Storage, and source system integrations .

Posted 11/6/2026full-timeBallerup • DenmarkMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Microsoft Fabric, including Lakehouse architecture and data engineering, while effectively managing data ingestion and transformation processes using PySpark and SQL. Capable of bridging technical solutions with business needs to drive data-driven decision-making.

Highest-signal resume keywords

Microsoft FabricPySparkSQLAzure Data Lake StorageData Pipeline Development

ATS Keywords

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Hard Skills

Data EngineeringData ModelingData IngestionData TransformationIncident ResolutionPerformance MonitoringDocumentationCapacity ManagementSemantic ModelsLakehouse Structures

Soft Skills

Clear CommunicationCuriosityGrowth-Oriented MindsetStakeholder CollaborationIndependent Task Management

Tools & Technologies

Azure DevOpsCI/CDSAP IntegrationKey VaultNetworking Concepts

Tech Stack

Tools & technologies

AzurePySparkPythonSQLVault

About the role

Key responsibilities & impact

Own day-to-day platform operations, including monitoring, troubleshooting, and incident resolution across Microsoft Fabric, Azure Data Lake Storage, and source system integrations
Develop, maintain, and expand the Microsoft Fabric data platform for reliability, scalability, and performance
Design and maintain scalable data models, semantic models, and lakehouse structures for reporting, analytics, and self-service consumption
Implement data ingestion pipelines primarily using PySpark from SAP and external sources
Collaborate with business stakeholders to translate use cases into actionable technical requirements
Suggest and justify platform architecture enhancements while adhering to existing guardrails
Balance new feature development with platform maintenance
Bridge technical solutions and business teams to facilitate data-driven decision-making
Develop and maintain Microsoft Fabric pipelines, notebooks, and Lakehouse solutions
Build and optimize PySpark- and SQL-based ingestion and transformation processes
Monitor platform performance, troubleshoot issues, and ensure reliable data delivery
Improve platform architecture, data models, and data quality
Maintain documentation and share knowledge to ensure platform continuity

Requirements

What you’ll need

Strong hands-on experience with Microsoft Fabric, including Lakehouse, Data Engineering, Pipelines, Semantic Models, and Capacity Management
Proficiency in SQL and experience building and maintaining complex data pipelines
Practical experience with Python, especially PySpark, for data ingestion and transformation
Working knowledge of Azure services, including Azure Data Lake Storage Gen2, Key Vault, networking concepts, and identity/access management
Experience with source control, CI/CD, and Azure DevOps
Experience integrating enterprise applications such as SAP and external data sources is highly advantageous
Ability to explain complex data and platform concepts clearly to technical and non-technical stakeholders
Ability to independently manage technical tasks while maintaining dialogue with business users
Curiosity and growth-oriented mindset
Experience appropriate for developing from a mid-level role into a future senior or leadership position

Benefits

Comp & perks

Professional growth, including access to senior experts and training opportunities
Attractive salary and a competitive benefits package
Latest technology/tech equipment to support your work
Collaboration with an international team across Europe
Structured training through PayTech University
Supportive team environment
Opportunity to shape and influence a critical data platform