Data Scientist

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

Data Scientist (Data Quality & Pipelines)

Experience: 7 years

Location: Dubai UAE

Contract: 4-6 months

Budget: Competitive salary (varies with experience)

Job Summary:

Our client is seeking a senior Data Scientist to design and operate highquality data pipelines and analytics for business decisionmaking. The role focuses on building robust ingestion and transformation pipelines (Python SQL Azure Data Factory) from SAP and M365 into a central governed platform ensuring data is traceable accurate and monitored endtoend.

Key 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 productiongrade 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 decisionmaking.

Requirements:

• 7 years of experience in data science / data engineering with a focus on data quality and pipelines
• Expertise in Python SQL and Azure Data Factory
• Experience with SAP and M365 data integrations
• Strong analytical and problemsolving skills
• Proven track record of driving business impact through data insights
• UAE Based: Must be residing in the UAE
• Visa Status: Preferably hold a valid UAE visa (Golden Visa Spouse Visa or Self-Sponsored)