Senior Data Engineer

About the role

ETi is looking for a Senior Data Engineer to join its global team. The role combines Data Engineering, ETL/ELT, Data Warehousing and Data Analytics with exposure to modern cloud data platforms. It turns complex business requirements and diverse data sources into reliable, scalable and analytics-ready data pipelines, reports and dashboards.

Key responsibilities

• Design, develop and maintain scalable ETL/ELT pipelines, data integration processes and data transformation solutions across enterprise data sources.
• Design and develop Data Warehouse, Data Lake/Lakehouse architectures and analytical data models, ensuring scalability, performance, reliability and data quality.
• Work with AI Engineers and business stakeholders to build AI- and analytics-ready datasets, data lakes and reporting solutions, including Power BI reports, dashboards and semantic models.
• Contribute to the evolution of the modern cloud-based Data & Analytics platform, using technologies such as Microsoft Fabric, Azure Data Factory, Azure Databricks and/or equivalent platforms.
• Monitor, troubleshoot and optimize data pipelines and workloads, and establish best practices in data modelling, ETL/ELT, performance and data quality, using tools such as Cognos and SQL Server.
• Translate business and analytical requirements into scalable, maintainable data engineering solutions and contribute to technical design and architectural decisions.

Required profile

• Bachelor's or Master's degree in Computer Engineering, Mathematics, Statistics or another relevant science/engineering discipline.
• 4-6+ years of professional experience in Data Engineering, Data Analytics, Business Intelligence, Data Warehousing or related data-focused roles.
• Strong analytical mindset, ability to take end-to-end ownership, and effective communication with technical and business stakeholders.
• Ability to reside in Eskişehir or Istanbul.

Required skills

• Hands-on experience with SQL, Cognos, Microsoft SQL Server, SSIS, SSRS, BO/BW, ETL/ELT, data warehousing, data modelling and data integration.
• Good understanding of BI, reporting and analytics environments, preferably Power BI.
• Experience with cloud data platforms such as Microsoft Fabric, Azure Data Factory, Azure Databricks or equivalents.
• Plus: Python, data governance, data quality, REST APIs, Lakehouse architectures, FMCG or manufacturing industry experience, and excellent English.