Lead Data and Analytics Engineer, BI
- Türkiye
- Kontrat
- Tam zamanlı
- Lead the design, development, and evolution of our enterprise data warehouse solutions, ensuring scalability, performance, security, and data quality.
- Define and implement data modeling strategies (dimensional, Kimball, Inmon) optimized for analytical workloads and business intelligence reporting.
- Develop comprehensive ETL/ELT strategies and pipelines to ingest, transform, and load data from diverse sources, including our custom .NET CRM, custom proposal resource center, Oracle ERP, and other operational systems.
- Consult on BI capabilities and recommend and execute solutions to address business needs and performance requirements
- Extend the Data Warehouse with data from new sources, applying: data lineage analysis.
- Design, develop, and maintain robust and scalable data models (star/snowflake schemas) in Power BI using Power Query (M), DAX, and Dataflows.
- Develop comprehensive ETL/ELT strategies and pipelines to ingest, transform, and load data from diverse sources, including our custom CRM, custom proposal resource center, Oracle ERP, and other operational systems.
- Lead the development of data pipelines using Azure Data Factory, Synapse Analytics, and SQL Server to source, transform, and load data into BI environments.
- Implement granular row-level security (RLS) to accurately reflect our matrix organizational leadership structure and robust Role-Based Access Control (RBAC).
- Leverage SQL Server (on-premise or Azure SQL Managed Instance) for foundational data storage and data warehousing components.
- Utilize Azure DevOps / Git for version control, CI/CD pipelines, and collaborative development practices.
- Conduct peer reviews of models, reports, and DAX logic for performance and accuracy.
- Collaborate closely with marketing and sales teams to identify key data points that can inform winning strategies, and design data models that expose these insights.
- Effectively communicate highly technical information to functional, technical team members and management
- Act as a subject matter expert and technical leader, providing guidance and mentorship to other team members on data architecture and BI best practices.
- Maintain a positive attitude when dealing with others in a pressured environment
- Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, Engineering, or a related quantitative field.
- 8+ years of progressive experience in data warehousing, business intelligence, and data analytics roles, with at least 3+ years in a lead or architectural capacity.
- Demonstrated experience integrating complex data from Oracle ERP, CRM systems, and bespoke applications into the Microsoft BI stack is a strong advantage.
- Proven experience designing and implementing enterprise BI systems using the Microsoft Power Platform (Power BI, Power Query, DAX) and Azure Data Services (ADF, Synapse, SQL Server)
- Strong proficiency in data modeling techniques (dimensional modeling, star/snowflake schemas).
- Experience with enterprise BI governance, dataset certifications, naming conventions, and lifecycle management.
- Experience in data security, including row-level security, workspace roles, and deployment pipelines in Power BI.
- Familiarity with CI/CD pipelines and DevOps practices for Power BI and Azure data pipelines is an asset.
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