Data Scientist (Data Quality & Pipelines)

LeadingEdge HR Solutions; Dubai; On-site; AED 180,000 - 240,000; Full time

Job summary

Our client in Dubai, UAE 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 (Python, SQL, Azure Data Factory) from SAP and M365 into a central governed platform, ensuring data is traceable, accurate, and monitored end‑to‑end.

The ideal candidate has 7+ years of experience in data science/engineering, strong analytical and problem-solving skills,

Qualifications

• 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.

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

Analytics

Machine Learning

SAP

M365

Problem-Solving

Job description

Contract

4-6 months

Budget

Competitive salary (varies with experience)

Job Summary

Our client 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 (Python, SQL, Azure Data Factory) from SAP and M365 into a central governed platform, ensuring data is traceable, accurate, and monitored end‑to‑end.

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 high-quality data pipelines and analytics for business decision‑making. 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 end‑to‑end.

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 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.

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 problem‑solving 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)