Senior Data & AI Platform Architect

OrderYOYO A/S

Amsterdam

Hybrid

EUR 120,000 - 160,000

Full time

14 days+
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Job summary

OrderYOYO A/S is seeking a Senior Data & AI Platform Engineer to own and scale the data platform, migrate legacy reporting to a governed Microsoft Fabric semantic layer, and deliver AI-enhanced data products across leadership, finance, product and marketing. You will lead data pipelines, governance, and reliable analytics while mentoring engineers and analysts.

The role focuses on building robust data models, improving ETL/ELT pipelines, and enabling executive reporting through Power BI at

Qualifications

  • Experience with modern data fabrics and governed data platforms.
  • Strong SQL/T-SQL, Python or PySpark for ELT/ETL pipelines.
  • Proven ability to lead migrations to a modern Fabric-based semantic layer.

Responsibilities

  • Own continuity and evolution of OrderYOYO’s data platform during scale.
  • Lead migration to a governed Microsoft Fabric platform with parity testing.
  • Design and maintain semantic data models and BI capabilities in Power BI.
  • Build robust data pipelines across APIs, files and events with monitoring.
  • Apply AI/automation to accelerate data engineering, reporting and testing.
  • Mentor engineers and analysts; translate business needs to delivery.
  • Establish data-engineering standards, runbooks and governance.

Skills

Microsoft Fabric
Azure Synapse
Databricks
SQL/T-SQL
Python PySpark
Power BI
Git workflows
AI automation
Data pipelines

Tools

Git
Power BI
CI/CD

Job description

OrderYOYO A/S is seeking a Senior Data & AI Platform Engineer to own and scale the data platform, migrate legacy reporting to a governed Microsoft Fabric semantic layer, and deliver AI-enhanced data products across leadership, finance, product and marketing. You will lead data pipelines, governance, and reliable analytics while mentoring engineers and analysts.

The role focuses on building robust data models, improving ETL/ELT pipelines, and enabling executive reporting through Power BI at

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