Senior Data Scientist, Data Quality & Pipelines (Azure)

Leading Edge; Dubai; On-site; AED 80,000 - 110,000; Part time

Job summary

Leading Edge is seeking a senior Data Scientist to design and operate high-quality data pipelines and analytics for business decision making. The role focuses on building robust ingestion and transformation pipelines from SAP and M365 into a central governed platform ensuring data is traceable, accurate and monitored end-to-end.

You will implement production-grade data quality, observability, and ML-based analytics, using Python, SQL and Azure Data Factory, with SAP and M365 integrations while

Qualifications

• 7 years of experience in data science/ data engineering with a focus on data quality and pipelines.
• Proficiency in Python, SQL, and Azure Data Factory.
• Experience with SAP and M365 data integrations.
• UAE-based residency preferred.

Responsibilities

• Data Pipelines & Engineering: Build and maintain reliable data ingestion and transformation workflows from enterprise systems (SAP, M365) into a governed platform.
• Data Quality & Observability: Implement production-grade validation, reconciliation, anomaly detection and quarantine processes to ensure data accuracy and traceability.
• Analytics & Modelling: Analyze data to uncover trends, anomalies, and business drivers.
• Apply statistical analysis, forecasting and ML techniques to improve decision-making.

Skills

Python

SQL

Azure Data Factory

Data pipelines

Data quality

Job description

Leading Edge is seeking a senior Data Scientist to design and operate high-quality data pipelines and analytics for business decision making. The role focuses on building robust ingestion and transformation pipelines from SAP and M365 into a central governed platform ensuring data is traceable, accurate and monitored end-to-end.

You will implement production-grade data quality, observability, and ML-based analytics, using Python, SQL and Azure Data Factory, with SAP and M365 integrations while