Data Engineer

Beymen, one of the significant performers of Turkey and the world luxury fashion scene, and Turkey's leading brands Network and Divarese, joined the investment fund of Mayhoola as Beymen Group in 2019. As a continuance of Mayhoola's investments since 2015, this move is the biggest foreign investment ever made in the Turkish luxury retail and fashion industry. In addition to Beymen Group, the Mayhoola’s mutual fund portfolio includes world-leading brands such as Valentino, Balmain and Pal Zileri.

Following the motto of moving towards the future by renewing itself every day and keeping the spirit of the time, Beymen Group invites you to the inspiring world of fashion by presenting more than 900 brands all together in Beymen stores, boutiques of world-famous brands, Beymen Club, Network and Divarese stores, e-commerce and mobile applications.

Beymen Group, a company that stands out with its principles, values, and commitment to social responsibility, is looking for a Data Engineer to join our team! We seek passionate, creative, and courageous professionals who embrace continuous learning and prioritize customer satisfaction.

About the Role

Microsoft Fabric and Power BI are the foundation of our data platform going forward. We are currently migrating onto it from Oracle DWH and MicroStrategy, and you will be hands‑on in that migration. From there, you will keep growing the platform — onboarding new source systems, building new data products, and improving performance and reliability as the business grows.

Responsibilities

• Collaborate with BI Development, Business Units, Software Development and Data Science teams to understand data requirements
• Build and maintain a high-performance, scalable modern data platform on Microsoft Fabric (Lakehouse, Warehouse, OneLake, Data Factory and Spark).
• Design, build and maintain scalable and reliable data pipelines for ingesting and transforming data from multiple enterprise systems.
• Migrate existing Oracle DWH objects and legacy ETL jobs to Fabric-native pipelines and T‑SQL
• Build and maintain reliable data ingestion from SAP and other retail source systems (POS, e-commerce, ERP, WMS)
• Design dimensional data models that serve Power BI semantic models efficiently
• Deploy data optimizations and rules to ensure data quality, consistency and accuracy
• Monitor and optimize data storage, query performance and pipeline execution to ensure scalability, reliability and cost efficiency.
• Ensure best practices and standards are followed in all data engineering tasks

Required Qualifications

• Bachelor's degree in Computer Science, Computer/Software Engineering, Mathematical or Industrial Engineering, Statistics or a related quantitative field, or equivalent practical experience
• 4+ years of professional experience in data engineering
• Strong SQL development skills — T‑SQL and PL/SQL, including performance tuning
• Experience in ETL design, implementation and maintenance
• Experience in schema design and dimensional data modeling
• Hands‑on experience with Microsoft Fabric, ideally as part of a migration from a legacy DWH/ETL stack
• Solid Python, PySpark and Spark SQL development skills.
• Retail domain experience
• Strong problem‑solving and analytical abilities
• Good communication and collaboration skills

Preferred

• Familiarity with enterprise ETL tools (Talend, Pentaho, ODI, Informatica) — useful for understanding our current landscape
• Oracle DWH and MicroStrategy‑to‑Power BI migration experience
• Power BI semantic modeling and DAX knowledge
• Cloud data platforms, particularly Azure (Data Factory, Synapse, Databricks, DevOps)
• Microsoft DP-700 and/or DP-600 certification
• Experience with Git-based development and CI/CD (Azure DevOps is preferred).
• Experience integrating data from SAP R/3 and SAP HANA (Datasphere is a plus)