Data Scientist (Data Quality & Pipelines)
A 4-6 month contract role in Dubai for a senior Data Scientist who builds and operates ingestion/transformation pipelines from SAP and M365 into a governed platform, ensuring data quality, traceability, and monitoring, plus analytics with statistics, forecasting, and ML. Core stack: Python, SQL, Azure Data Factory.
- Compensation
- Not disclosed
- Location
- Dubai, United Arab Emirates
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Contract
- Experience
- 7+ years
- Category
- Data science
- Posted
Skills
Must have
- 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
- Must be residing in the UAE
Nice to have
- Preferably hold a valid UAE visa (Golden Visa, Spouse Visa, or Self-Sponsored)
Full 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)