Sana Commerce
Senior Data Engineer (MLAI)
- Compensation
- Not disclosed
- Location
- Dubai, AE
- Work setup
- Onsite
- Seniority
- Senior
- Employment
- Full time
- Experience
- 8+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 8 years of experience as a Data Engineer working with Azure and Databricks ideally with exposure to ML/AI-related data workflows.
- College degree that demonstrates your analytic abilities such as Econometrics Computer Sciences Mathematics or similar;
- Excellent analytical and problem-solving skills;
- Experience with data preparation for ML/AI: managing large datasets feature engineering and real-time or batch data pipelines.
- Familiarity with MLOps concepts and how data engineering supports model lifecycle management.
- Experience with orchestration frameworks (Airflow Prefect or Azure Data Factory) for complex ML pipelines.
- Knowledge of unstructured data processing (text images logs) is a plus.
- Strong SQL and Python skills; experience with distributed data processing (PySpark Dask etc.) is a plus.
Full description
What youll be doing
- Designing and maintaining data pipelines optimized for ML/AI workloads including handling of large-scale unstructured and semi-structured data.
- Building feature pipelines and feature stores that ensure reusability and consistency of data used by machine learning models.
- Collaborating with Data Scientists and ML Engineers to understand data requirements for training validation and production deployment.
- Ensuring data quality lineage and governance meet standards required for AI/ML applications.
- Supporting MLOps practices by integrating data pipelines with model training monitoring and deployment workflows.
- Leveraging distributed processing frameworks (e.g. Spark Databricks Azure Synapse) for scalable ML data processing.
Qualifications : What you bring
- 8 years of experience as a Data Engineer working with Azure and Databricks ideally with exposure to ML/AI-related data workflows.
- College degree that demonstrates your analytic abilities such as Econometrics Computer Sciences Mathematics or similar;
- Excellent analytical and problem-solving skills;
- Experience with data preparation for ML/AI: managing large datasets feature engineering and real-time or batch data pipelines.
- Familiarity with MLOps concepts and how data engineering supports model lifecycle management.
- Experience with orchestration frameworks (Airflow Prefect or Azure Data Factory) for complex ML pipelines.
- Knowledge of unstructured data processing (text images logs) is a plus.
- Strong SQL and Python skills; experience with distributed data processing (PySpark Dask etc.) is a plus.
Why youll love working here
- Impact from day one Join a scale-up where your ideas shape how global businesses operate online.
- Continuous learning Access a structured onboarding rated 9.1/10 by previous hires mentorship and feedback culture.
- Hybrid flexibility Work from our office 3 days per week and from home 2 days.
- Career growth Expand your technical and leadership scope in a company built for long-term success.
Our values
At Sana Commerce our values drive everything we do:
- Champions of Our League We deliver lasting success balancing quick wins and long-term value