Data Scientist (Data Quality & Pipelines)

Leadingedgeme; Dubai; On-site; AED 240,000 - 360,000; Part time

Job summary

Leadingedgeme seeks a senior Data Scientist (Data Quality & Pipelines) in Dubai, UAE, for a 4-6 month contract. You will design and operate high-quality data pipelines from SAP and M365 into a central, governed platform, ensuring traceability and end-to-end data quality.

Requirements include 7+ years in data science/engineering with Python, SQL, Azure Data Factory, and SAP/M365 data integrations. The role emphasizes data-driven decision support and robust observability.

Qualifications

• 7+ years in data science/engineering focused on data quality and pipelines.
• Expertise with Python, SQL, and Azure Data Factory.
• Experience integrating SAP and M365 data sources; UAE-based.

Responsibilities

• Build and maintain data ingestion/transformation workflows from SAP and M365 into a governed platform.
• Implement data quality validation, reconciliation, anomaly detection, and quarantining.
• Analyze data to uncover trends, anomalies, and business drivers.
• Apply statistical analysis, forecasting, and ML to improve decisions.

Skills

Data quality

Data pipelines

Analytical thinking

Problem solving

Business impact

Tools

Python

SQL

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)

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)