Mozn is a rapidly growing technology firm revolutionizing the field of Artificial Intelligence and Data Science, headquartered in Riyadh, Saudi Arabia. The company is committed to realizing Vision 2030 and has a proven track record of supporting and growing the tech ecosystem in Saudi Arabia and the GCC region. Mozn is the trusted AI technology partner for some of the largest government organizations and numerous large corporations and startups.
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We are looking for a skilled Data Engineer to join our team and contribute to the development of Mozn's Text-to-SQL product, Talk to Your Data. In this role, you will be responsible for designing, building, and optimizing the data pipelines that support our AI-driven SQL generation system. You will work closely with machine learning engineers, software developers, and product managers to ensure seamless data integration, efficient query execution, and high-performance system scalability. Additionally, you will collaborate with other teams to create high-quality queries and diverse question sets that improve model accuracy and system performance.
What You'll Do:
- Develop and maintain scalable data pipelines and ETL processes to support text-to-SQL model training and inference.
- Optimize SQL query generation by designing efficient database schemas, indexing strategies, and query execution plans.
- Collaborate with ML engineers to preprocess, transform, and structure large-scale datasets for AI model inference.
- Work with product, research, and domain experts to generate and curate realistic SQL queries and natural language questions that enhance the model’s ability to understand user intent.
- Monitor and enhance data pipeline performance, reliability, and scalability.
- Ensure data quality by implementing validation and logging mechanisms.
- Support real-time and batch query execution in the text-to-SQL system by optimizing database interactions.
- Stay up to date with best practices in data engineering, database optimization, and machine learning infrastructure.
Qualifications:
- 3-5 years of experience in data engineering, database administration, or a similar role.
- Strong SQL skills, including query optimization, indexing, and performance tuning.
- Experience with relational databases (PostgreSQL, MySQL, SQL Server, or similar) and cloud-based data warehouses (BigQuery, Snowflake, Redshift, etc.).
- Proficiency in Python for data processing and pipeline development.
- Experience with ETL tools (Airflow, dbt, Apache NiFi, or similar).
- Experience in handling semi-structured and unstructured data (JSON, XML, Parquet, etc.).
- Strong communication skills and ability to collaborate with cross-functional teams to develop query datasets.
- Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.
Nice-to-Have:
- Understanding of Text-to-SQL models and how they interact with databases.
- Experience working with LLMs and NLP-based systems.
- Familiarity with vector databases and embedding-based retrieval methods.
Benefits:
- Competitive compensation and top-tier health insurance.
- A dynamic and fun workplace alongside some of the greatest minds in AI.
- An empowering culture that allows you to focus on what you do best.
Location: Riyadh, Saudi Arabia (On-site)
Language Requirements: Not specified.
