IT Supervisor / Retail Applications

Alshaya Group Avrasya; Fatih; On-site; TRY 240,000 - 420,000; Full time

Job summary

Alshaya Group Avrasya is seeking an IT Supervisor to lead data engineering and BI initiatives for a multi-country retail operation. You will own ETL pipelines, ensure data warehouse integrity, and coordinate with vendors and stakeholders.

The role requires advanced SQL, Power BI, SSIS or similar tools, experience with cloud platforms (Azure or GCP), and strong English communication. Bachelor's degree required; Master’s in DS/AI a plus; leadership and cross-functional collaboration are essential.

Qualifications

• Bachelor's degree in a relevant field; a Master's degree in Data Science, AI or related discipline is a plus.

Responsibilities

• Lead the development and maintenance of ETL pipelines feeding the data warehouse built on Medallion architecture (Bronze / Silver / Gold layers).
• Design and develop advanced Power BI reports and dashboards that drive operational and strategic decisions across a large-scale, multi-country retail operation.
• Own the data integrity across transformation layers — from source system to final report — and drive data quality as a continuous process.
• Establish and operate source-to-target reconciliation processes; build automated data quality checks and alerting mechanisms.
• Manage external vendors on ETL and data model development: define scope, track deliverables, control timelines and enforce quality.
• Coordinate and oversee BI and data engineering projects end-to-end — from requirement analysis through to delivery.
• Conduct exploratory data analysis (EDA) on new datasets and lead feature preparation for machine learning use cases.
• Collaborate on retail-focused analytics initiatives: demand forecasting, customer segmentation, basket analysis and churn.
• Contribute to data governance practices: data dictionary, documentation standards and data quality KPI reporting.
• Provide technical mentorship to the BI & Data Engineering Specialist; support the team's growth in new technologies and methodologies.
• Maintain and develop strong cross-functional relationships with business units, IT teams and regional stakeholders.

Skills

SQL / T-SQL

Power BI

ETL development

Data warehousing

Data quality & governance

Stakeholder communication

English communication

Education

Bachelor's degree in a relevant field

Master's degree in Data Science / AI or related

Tools

SSIS

Azure Data Factory

Azure Synapse

Power BI (tabular model)

BigQuery

Python

Job description

Kuwait-based Alshaya Group started to operate in the Turkish market in 2002 with the objective of undertaking retailing activities within the framework of the Group's Turkish operating rights for major international brands. Today, the group represents a portfolio of world's best known international brands in Turkey, managing their retail franchise operations in segments including Fashion, Food, Health & Beauty.

Franchise portfolio includes Bath and Body Works, Pinkberry, Shake Shack, Starbucks and Victoria's Secret in Turkey.

Kuwait-based Alshaya Group’s operations are based on the vision of "Being one of the world's leading retailers, managing world's best known brands in profitable, value-building partnerships," with a corporate culture that rewards "Think Big," "Act Small," and "Be You" is currently looking for a ''IT Supervisor'' to join its ITdivision.

• Bachelor's degree in a relevant field; a Master's degree in Data Science, Artificial Intelligence or a related discipline is a plus,
• Minimum 5 years of hands-on experience in data engineering and/or business intelligence,
• Has led end-to-end data or BI projects — from requirement analysis through delivery — taking full ownership of scope, timeline and quality in close collaboration with stakeholders,
• Has actively managed vendor relationships: coordinating scope, tracking deliverables and escalating issues in alignment with senior stakeholders,
• Experience in a multi-entity or multi-country data environment is a strong advantage,
• Strong command of SQL / T-SQL; able to write complex queries, stored procedures and performance-tune them with confidence,
• Advanced Power BI skills including tabular model design, DAX and report performance optimization,
• Hands-on ETL development and management experience with SSIS or comparable tools,
• Solid understanding of DWH design principles (Star Schema, Medallion / layered architecture),
• Data quality mindset: experience designing and operating source-to-target reconciliation, anomaly detection and automated controls,
• Experience with cloud data platforms (Azure — Event Hubs, Stream Analytics, Data Factory, Synapse; or Google Cloud Platform — BigQuery) is a strong advantage; familiarity with real-time or streaming data pipelines is a plus,
• Working knowledge of Python for data engineering and analytics is an advantage; interest in applying AI and machine learning in retail contexts — such as demand forecasting, segmentation or anomaly detection — is a plus,
• Strong analytical thinking: able to derive meaning from data and translate findings into business language,
• Good command of written and spoken English,
• Strong business follow-up, process accountability and stakeholder communication skills.

Job Description:

• Lead the development and maintenance of ETL pipelines feeding the data warehouse built on Medallion architecture (Bronze / Silver / Gold layers),
• Design and develop advanced Power BI reports and dashboards that drive operational and strategic decisions across a large-scale, multi-country retail operation,
• Own the data integrity across transformation layers — from source system to final report — and drive data quality as a continuous process,
• Establish and operate source-to-target reconciliation processes; build automated data quality checks and alerting mechanisms,
• Manage external vendors on ETL and data model development: define scope, track deliverables, control timelines and enforce quality,
• Coordinate and oversee BI and data engineering projects end-to-end — from requirement analysis through to delivery,
• Conduct exploratory data analysis (EDA) on new datasets and lead feature preparation for machine learning use cases,
• Collaborate on retail-focused analytics initiatives: demand forecasting, customer segmentation, basket analysis and churn,
• Contribute to data governance practices: data dictionary, documentation standards and data quality KPI reporting,
• Provide technical mentorship to the BI & Data Engineering Specialist; support the team's growth in new technologies and methodologies,
• Maintain and develop strong cross-functional relationships with business units, IT teams and regional stakeholders.