Senior Data Engineer

Eti; Fatih; On-site; TRY 420,000 - 780,000; Full time

Job summary

ETi in Turkey is seeking a Senior Data Engineer to transform complex business requirements into reliable data pipelines, reports, and analytics-ready assets.

You will design Data Warehouse/Data Lake architectures, collaborate with AI engineers and stakeholders, and deliver Power BI dashboards on cloud platforms such as Microsoft Fabric, Azure Data Factory and Databricks.

Qualifications

• Bachelor's or Master's degree in Computer Engineering, Mathematics, Statistics or related field.
• 4–6+ years of professional data engineering, analytics or BI experience.
• Strong SQL, Cognos, SQL Server, SSIS/SSRS and ETL/ELT skills.
• Experience with Power BI and BI reporting environments.

Responsibilities

• Design, develop and maintain scalable ETL/ELT pipelines and data integration processes across enterprise sources.
• Design and develop Data Warehouse, Data Lake/Lakehouse architectures and analytical data models.
• Collaborate with AI engineers and stakeholders to create analytics-ready datasets and dashboards.
• Contribute to the evolution of a cloud-based Data & Analytics platform using Azure/Microsoft Fabric and Databricks.

Skills

SQL

Cognos

Microsoft SQL Server

SSIS

SSRS

ETL/ELT

Data Warehousing

Data Modelling

Data Integration

Power BI

Microsoft Fabric

Azure Data Factory

Azure Databricks

Education

Bachelor's or Master's degree in Computer Engineering, Mathematics, Statistics or related field

Tools

Microsoft Fabric

Azure Data Factory

Azure Databricks

Databricks

Job description

Would you like to be a part of our global team which turns dreams into reality?

ETi is full of opportunities for your competencies to get you in pursuit of your career! Join our team, apply for Senior Data Engineer position and get beyond your own limits.

What is the Main Aim of This Position?

The position combines strong Data Engineering, ETL/ELT, Data Warehousing and Data Analytics capabilities with exposure to modern cloud data platforms. The role will be responsible for transforming complex business requirements and diverse data sources into reliable, scalable and analytics-ready data pipelines, reports and dashboards.

What We Expect from You?

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

Why You?

• If you have a Bachelor's or Master's degree in Computer Engineering, Mathematics, Statistics or another relevant Science/Engineering discipline,
• If you have 4–6+ years of professional experience in Data Engineering, Data Analytics, Business Intelligence, Data Warehousing or related data-focused roles,
• If you have strong hands‑on experience with SQL, Cognos, Microsoft SQL Server, SSIS, SSRS, BO/BW, ETL/ELT, Data Warehousing, Data Modelling and data integration,
• If you have a good understanding of BI, reporting and analytics environments, preferably Power BI, and can translate business requirements into practical data solutions,
• If you have experience with modern cloud data platforms such as Microsoft Fabric, Azure Data Factory, Azure Databricks or equivalent platforms,
• If you have experience with modern cloud data platforms such as Microsoft Fabric, Azure Data Factory, Azure Databricks or equivalent platforms,
• If you have a strong analytical mindset and can effectively bridge Data Engineering, BI and Business Analytics,
• If you can take end‑to‑end ownership, communicate effectively with both technical and business stakeholders, and continuously learn and adopt modern Cloud, Data & AI technologies,
• If you have experience with Python, Data Governance, Data Quality, REST APIs or Lakehouse architectures, it will be considered a plus,
• If you have FMCG and/or manufacturing industry experience, it will be considered an advantage,
• If you have an excellent command of written and spoken English.

What Brings You at the Front?

• Having project management skills and experience in project-oriented work,
• Being strongly analytic and result-oriented,
• Being innovative and open to learning,
• Having strong communication and coordination skills,
• Being team work oriented,