Data Engineer: Build Modern Data Platform & BI Pipelines

Beymen Group; Fatih; On-site; TRY 400,000 - 700,000; Full time

Job summary

Beymen Group, a leading Turkish luxury retailer, is hiring a Data Engineer to join our growing data team and help shape the future of how data drives decision making across brands, stores, and e-commerce.

You will migrate from Oracle DWH to Microsoft Fabric and Power BI, onboard new source systems, design scalable pipelines, and ensure data quality while collaborating with BI, software development, and data science colleagues.

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 with Microsoft Fabric, ideally as part of a migration from a legacy DWH/ETL stack
• Solid Python, PySpark and Spark SQL development skills
• Strong problem-solving and analytical abilities
• Good communication and collaboration skills

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

Skills

SQL development (T-SQL/PL/SQL)

Python

PySpark

Spark SQL

Problem solving & analytics

Communication & collaboration

Education

Bachelor's degree in CS/Engineering/Statistics or related field

Tools

Microsoft Fabric

Power BI

Azure Data Factory

Azure Synapse

Databricks

Git/Azure DevOps

Oracle DWH

ETL tools (Talend/Pentaho/Informatica)

Job description

Beymen Group, a leading Turkish luxury retailer, is hiring a Data Engineer to join our growing data team and help shape the future of how data drives decision making across brands, stores, and e-commerce.

You will migrate from Oracle DWH to Microsoft Fabric and Power BI, onboard new source systems, design scalable pipelines, and ensure data quality while collaborating with BI, software development, and data science colleagues.