Data Platform Engineer – Microsoft Fabric & AI

GRAITEC Italy; Barcelona; Sur place; EUR 40 000 - 60 000; Plein temps

Résumé du poste

Graitec Group is seeking a seasoned Data Platform Engineer to design, build, and operate a Microsoft Fabric-based analytics platform. You will ingest data from Dynamics 365, CRM, licensing, and telemetry, and craft a stable data model used across reporting and AI initiatives.

You will implement security controls, governance, and cost-aware operations while collaborating with IT, R&D, and business stakeholders to enable scalable data and AI capabilities.

Qualifications

• 6+ years of experience in Data Engineering, including Microsoft Fabric, Azure Synapse or Databricks.
• Strong SQL and Python/PySpark development for analytics and data modeling.
• Hands-on experience with Microsoft Fabric components (Lakehouse, Warehouse, Pipelines, Notebooks, OneLake).
• Experience integrating ERP/CRM data and implementing security and governance controls.

Responsabilités

• Design, build and run the Microsoft Fabric platform, including lakehouses, warehouses, pipelines and data workflows.
• Ingest and integrate data from various sources (Dynamics 365, CRM, licensing, telemetry) using connectors and APIs.
• Create a layered data model that produces reusable, certified datasets with clear lineage.
• Implement security, data masking, and governance in collaboration with Information Security.

Connaissances

SQL

Python

PySpark

Data modeling

Microsoft Fabric

Azure Synapse

Databricks

CI/CD

Data governance

Git

Outils

dbt

Snowflake

Databricks

Azure DevOps

Description du poste

Graitec Group is seeking a seasoned Data Platform Engineer to design, build, and operate a Microsoft Fabric-based analytics platform. You will ingest data from Dynamics 365, CRM, licensing, and telemetry, and craft a stable data model used across reporting and AI initiatives.

You will implement security controls, governance, and cost-aware operations while collaborating with IT, R&D, and business stakeholders to enable scalable data and AI capabilities.