Data Scientist (Data Quality & Pipelines)
Summary
A senior data scientist (7+ years, 4-6 month contract, on-site in Dubai) builds and operates data ingestion and transformation pipelines from SAP and M365 into a governed platform using Python, SQL, and Azure Data Factory, with a strong focus on data quality, validation, and anomaly monitoring, plus analytics, forecasting, and ML for business decision-making.
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)