Business Intelligence / Data Engineer

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Roles & Responsibilities

Data Engineering & Platform Management

• Design, build, and maintain robust data pipelines, integrations, and ETL/ELT transformations.
• Connect key business systems, including ERP, TMS, CRM, and financial platforms.

Warehouse & Lakehouse Management

• Manage, optimize, and evolve data warehouse and modern Lakehouse environments.
• Ensure high scalability, security, reliability, and enterprise compliance.

Data Modeling & Governance

• Implement robust dimensional data models (Star and Snowflake schemas).
• Maintain comprehensive technical documentation for pipeline architecture.
• Enforce enterprise data governance standards across all systems.

Analytics & Insight Delivery

• Translate raw, complex datasets into actionable data models, reports, and dashboards.
• Support business decision-making across global supply chain operations.

Agile Leadership & Coordination

• Serve as Scrum Master for the BI team.
• Manage sprint backlogs, facilitate sprint planning, and drive cross-functional alignment with business stakeholders.

Technology Innovation

• Stay updated with emerging data technologies and best practices.
• Continuously optimize pipeline runtimes and promote a data-driven organizational culture.

Key Skills Required

• Core Languages: Advanced Azure SQL and Python for data transformation, analytics, and pipeline automation.
• Modern Architectures: Expertise in Data Lakes, Lakehouses, and Data Warehousing.
• Data Formats & Processing: Parquet file format handling and high-volume file processing.
• Data Modeling: Dimensional modeling (Star Schema, Denormalization, Aggregations).

Analytics & Enterprise Systems

• BI & Data Visualization: Proficiency in Power BI or Tableau with a strong grasp of data visualization principles.
• Domain Integrations: Backend data integration experience across ERP, TMS (Transport Management Systems), CRM, and Financial systems.
• Industry Domain: Exposure to logistics, shipping, or supply chain management (preferred).
• Agile Leadership: Experience leading sprints, managing backlogs, and applying Agile/Scrum methodologies.