Analytics Engineer

About the role

We are looking for an Analytics Engineer to support and evolve our data, planning and analytics ecosystem. The role works across Microsoft Dynamics 365, Azure data platforms and Kinaxis Maestro to build reliable data pipelines, resolve system issues and enable business reporting for supply‑chain operations.

Key responsibilities

• Design, support and enhance data pipelines and integrations using Azure Databricks, Azure Data Factory and related Azure services.
• Investigate, troubleshoot and resolve bugs, incidents and data‑quality issues across planning, reporting and integration workflows.
• Develop and maintain SQL, Python and Scala code for data transformation, validation and analytics.
• Build and support Power BI datasets, semantic models and reports for supply‑chain and operations stakeholders.
• Collaborate with business partners to refine user stories and technical requirements, translating needs into scalable solutions.
• Participate actively in team workflows and continuous‑improvement initiatives.

Required profile

• Self‑starter with strong critical‑thinking and problem‑solving abilities.
• Ability to reverse‑engineer existing processes and code, identify root causes and improve system reliability.
• Familiarity with supply‑chain operations and planning concepts.

Required skills

• Azure Databricks
• Azure Data Factory
• Azure cloud services
• SQL
• Python
• Scala
• Power BI
• Microsoft Dynamics 365
• Kinaxis Maestro (supply‑chain planning software)