Data Scientist (Data Quality & Pipelines)

leading-edge; Dubai; On-site; AED 300,000 - 480,000; 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 in Dubai, UAE. 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 traceability, accuracy, and end‑to‑end monitoring.

The ideal candidate has 7+ years of experience in data science and data engineering, strong 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.
• 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).

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

Data Quality

Data Pipelines

Analytical Thinking

Tools

Azure Data Factory

SAP

M365

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 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)