Senior Data & AI Platform Engineer

Job summary

The Senior Data & AI Platform Engineer is responsible for leading the evolution and AI-enablement of a modern data platform during a critical scaling phase. This role involves migrating legacy reporting to a governed Microsoft Fabric platform, enhancing data pipeline stability, and leveraging AI and automation to optimize data engineering and analytics processes.

Qualifications

• 6+ years in modern data warehousing, analytics engineering or data platform engineering.
• Strong Microsoft Fabric capability or deep Azure Synapse / Databricks experience.
• Expert SQL/T-SQL plus strong Python or PySpark skills.
• Strong Power BI and DAX experience.
• Experience leading legacy-to-modern data platform migrations.
• Experience operating production data systems.
• Comfortable with Git-based data engineering workflows.
• Practical experience using AI or automation in data engineering.

Responsibilities

• Lead hands-on Microsoft Fabric architecture across lakehouse, warehouse, notebooks, semantic models, Git-backed delivery and production governance.
• Drive migration from legacy reporting and metric tooling into a governed Fabric semantic layer.
• Own and improve data pipelines across APIs, files, events and operational stores.
• Use AI and automation to accelerate ETL/ELT development and data management.
• Design high-quality Power BI semantic models and reusable metric definitions.
• Support CRM and operational data integrations.
• Create reliable ingestion and modelling patterns for acquired businesses.
• Set data-engineering standards and documentation.
• Mentor engineers and analysts.
• Build automated reporting and insight-generation capabilities.

Skills

Relocation