Data Scientist (Data Quality & Pipelines)

Client of LeadingEdge HR Solutions; Dubai; On-site; AED 150,000 - 210,000; Part time

Job summary

Client of LeadingEdge HR Solutions in Dubai seeks 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.

Candidate will work with Python, SQL and Azure Data Factory, integrating SAP and M365 data into a central, governed platform ensuring data is traceable, accurate and monitored end to end.

Qualifications

• 7+ years of experience in data science / data engineering with a focus on data quality and pipelines.
• Experience with Python, SQL, and Azure Data Factory.
• Experience with SAP and M365 data integrations.
• Proven track record of driving business impact through data insights.

Responsibilities

• Data Pipelines & Engineering: Build and maintain reliable data ingestion and transformation workflows from enterprise systems SAP and 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

Data quality

Data pipelines

Problem solving

Analytical thinking

Business impact

Tools

Python

SQL

Azure Data Factory

SAP

M365

Job description

Job Description

Data Scientist Data Quality amp 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 amp Engineering Build and maintain reliable data ingestion and transformation workflows from enterprise systems SAP M365 into a governed platform
• Data Quality amp Observability Implement production grade validation reconciliation anomaly detection and quarantine processes to ensure data accuracy and traceability
• Analytics amp 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

Required Skills

• 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)