Senior Data Platform Engineer – Microsoft Fabric & Data Lake

Graitec; Barcelona; On-site; EUR 40,000 - 60,000; Full time

Job summary

Graitec is seeking a Data Platform Engineer to design, build and operate the Microsoft Fabric platform that underpins Graitec's reporting, analytics and AI initiatives. You will work with cross‑functional teams to ingest ERP/CRM data, implement governed data pipelines, and maintain secure, scalable lakehouse architectures.

The role emphasizes strong SQL/PySpark skills, data modelling expertise, and experience with Fabric ecosystems, Git/Azure DevOps CI/CD, and AI tooling.

Qualifications

• Proficient in SQL and Python/PySpark for analytics and data processing.
• Strong data modelling and data architecture skills for analytics platforms.
• Experience with Microsoft Fabric technologies (Lakehouse, Warehouse, Pipelines, Notebooks, OneLake).
• Familiarity with source control and CI/CD for data platforms (Git, Azure DevOps).
• Knowledge of security, governance, Entra ID, and Microsoft Purview.
• Experience with AI-assisted development tools (Copilot) and AI data prep patterns.

Responsibilities

• Design, build and run the Microsoft Fabric platform, including lakehouses, warehouses, pipelines and dataflows.
• Ingest and integrate data from ERP/CRM/licensing/telemetry with standard connectors.
• Manage data models and ensure data quality, lineage and governance across environments.

Skills

SQL

Python/PySpark

Data modelling

Data architecture

AI-assisted development

Cross-functional teamwork

Security governance

Tools

Microsoft Fabric

Azure DevOps

Git

dbt

Snowflake

Databricks

Job description

Graitec is seeking a Data Platform Engineer to design, build and operate the Microsoft Fabric platform that underpins Graitec's reporting, analytics and AI initiatives. You will work with cross‑functional teams to ingest ERP/CRM data, implement governed data pipelines, and maintain secure, scalable lakehouse architectures.

The role emphasizes strong SQL/PySpark skills, data modelling expertise, and experience with Fabric ecosystems, Git/Azure DevOps CI/CD, and AI tooling.