Senior AI-Enabled Data Platform Engineer

Visa Hunt

Denmark

On-site

DKK 900,000 - 1,400,000

Full time

3 days ago

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Job summary

OrderYOYO is seeking a Senior Data & AI Platform Engineer to own and evolve a governed, AI-enabled data platform during scaling. You will lead the migration from legacy tooling to a Microsoft Fabric-based platform, ensuring reliable BI and semantic models, and driving data pipelines, automation, and AI-assisted development across the organization.

You will mentor engineers, define platform standards, and design robust data ingestion and modelling patterns to support executives, finance,

Qualifications

6+ years in modern data warehousing, analytics engineering or data platform engineering.
Strong Microsoft Fabric capability, or deep Azure Synapse / Databricks experience with quick Fabric specialization.
Expert SQL/T-SQL plus Python or PySpark for ELT/ETL pipelines and analytical data models.
Strong Power BI and DAX with semantic modelling and governance.
Experience leading legacy-to-modern data platform migrations with parity testing and decommissioning.
Experience operating production data systems: monitoring, incident triage, data-quality checks.
Git-based data engineering workflows, PRs and release discipline.

Responsibilities

Lead hands-on Microsoft Fabric architecture across lakehouse, warehouse, notebooks, semantic models and governance.
Drive migration from legacy reporting into a governed Fabric semantic layer with stakeholder validation.
Own and improve data pipelines across APIs, files, events and stores with orchestration and monitoring.
Use AI/automation to accelerate ETL/ELT, data mapping, testing and reporting.
Design Power BI semantic models and reusable metrics for leadership and finance reporting.
Support CRM and operational data integrations and monitoring.
Create reliable ingestion/mapping patterns for acquired businesses for repeatable integrations.
Set data-engineering standards: ready/done, reviews, release governance, runbooks.
Mentor engineers and translate business needs into delivery.
Build automated reporting and insights to speed decision-making.