Microsoft Fabric & Azure Data Platform Developer

Zohorecruit; Amsterdam; Hybrid; EUR 70,000 - 110,000; Full time

Job summary

Zohorecruit is seeking a Microsoft Fabric & Azure Data Platform Developer to design and implement enterprise data platforms using Microsoft Fabric and Azure data services in Amsterdam, NL.

You will define architectures across Lakehouse, Data Warehouse, Data Pipelines, Dataflows Gen2, Notebooks, and Semantic Models, and implement Medallion Architecture for data ingestion, transformation, modelling, and consumption.

Qualifications

• 4–6 years of overall professional experience in data engineering or data platform development.
• Strong architecture experience with Microsoft Fabric and Azure data platforms.
• Hands-on expertise with Microsoft Fabric, OneLake, Lakehouse, Data Warehouse, Data Pipelines, Dataflows Gen2, Notebooks, and Semantic Models.
• Solid understanding of Medallion Architecture and enterprise data ingestion, transformation, modelling, and consumption.
• Experience with PySpark, Python, SQL, Spark SQL, and Azure Data Factory.
• Experience with Power BI architecture, semantic modelling, KPI standardization, and reporting governance.
• Strong knowledge of enterprise data modelling, integration patterns, APIs, and data-platform modernization.
• Experience with data governance, data ownership, stewardship, security, privacy, GDPR, and compliance.

Responsibilities

• Design scalable data architectures using Microsoft Fabric and Azure services.
• Translate requirements into data-platform architecture and implementation approaches.
• Develop ingestion, transformation, and consumption pipelines with Medallion Architecture.
• Build and optimize PySpark, Python, SQL, and Spark SQL data processing solutions.
• Create Power BI semantic models and define KPI standards.
• Implement data governance, security, privacy and compliance controls.
• Collaborate with stakeholders to deliver scalable data-platform solutions.

Skills

Microsoft Fabric

Azure Data Platform

PySpark

Python

SQL

Spark SQL

Azure Data Factory

Power BI

CI/CD

Azure DevOps

Git

Data Governance

Medallion Architecture

OneLake

Lakehouse

Notebooks

Semantic Models

Tools

Power BI

Azure DevOps

Git

Azure Data Factory

Job description

As a Microsoft Fabric & Azure Data Platform Developer, you will:

• Design and develop enterprise data platforms using Microsoft Fabric and Azure data services.
• Define architecture across OneLake, Lakehouse, Data Warehouse, Data Pipelines, Dataflows Gen2, Notebooks, and Semantic Models.
• Design and implement Medallion Architecture for enterprise data ingestion, transformation, modelling, and consumption.
• Develop and optimize data solutions using PySpark, Python, SQL, Spark SQL, and Azure Data Factory.
• Design Power BI architecture and semantic models, including standardized KPI definitions and reporting governance.
• Define enterprise data modelling, integration patterns, APIs, and data platform modernization strategies.
• Establish and support data governance, ownership, stewardship, security, privacy, GDPR, and compliance controls.
• Implement practices for data quality, data lineage, metadata management, and master/reference data management.
• Support Azure DevOps, Git, CI/CD, release management, and deployment automation.
• Optimize data-platform performance through workload management, scalability, performance tuning, and capacity planning.
• Work closely with stakeholders to understand business and technical requirements and translate them into scalable data-platform solutions.
• Produce clear architecture documentation and contribute to technical decision-making.

What You Bring to the Table:

• 4–6 years of overall professional experience in data engineering, data platform development, data architecture, or a closely related field.
• Strong architecture experience with Microsoft Fabric and enterprise Azure data platforms.
• Hands-on expertise with Microsoft Fabric, OneLake, Lakehouse, Data Warehouse, Data Pipelines, Dataflows Gen2, Notebooks, and Semantic Models.
• Strong understanding of Medallion Architecture and enterprise data ingestion, transformation, modelling, and consumption patterns.
• Hands-on experience with PySpark, Python, SQL, Spark SQL, and Azure Data Factory.
• Experience with Power BI architecture, semantic modelling, KPI standardization, and reporting governance.
• Strong knowledge of enterprise data modelling, integration patterns, APIs, and data-platform modernization.
• Experience with data governance, data ownership, stewardship, security, privacy, GDPR, and compliance.
• Understanding of data quality, lineage, metadata management, and master/reference data concepts.
• Experience with Azure DevOps, Git, CI/CD, release management, and deployment automation.

You should possess the ability to:

• Design scalable and maintainable Microsoft Fabric and Azure data architectures.
• Translate business and technical requirements into effective data-platform architecture and implementation approaches.
• Design robust data ingestion, transformation, modelling, and consumption pipelines.
• Apply Medallion Architecture effectively across enterprise data solutions.
• Develop and optimize data processing solutions using PySpark, Python, SQL, and Spark SQL.
• Design effective Power BI semantic models and establish consistent KPI definitions.
• Implement appropriate data governance, security, privacy, GDPR, and compliance controls.
• Identify and resolve data quality, performance, scalability, and workload-management issues.
• Implement automated CI/CD and deployment processes using Azure DevOps and Git.
• Document architecture, technical decisions, integration patterns, and platform standards clearly.
• Communicate effectively with technical and business stakeholders and make sound architectural decisions.

What we bring to the table:

• An opportunity to work on modern enterprise data platforms using Microsoft Fabric and Azure.
• Exposure to advanced data architecture, analytics, data governance, and platform modernization initiatives.
• The opportunity to work with OneLake, Lakehouse, Data Warehouse, Power BI, Azure Data Factory, and modern data engineering technologies.
• A role involving architecture, hands-on data engineering, governance, performance optimization, and stakeholder collaboration.

Let’s Connect:

Want to discuss this opportunity in more detail? Feel free to reach out.