Data Engineer | Data & AI
Job in
Sinn el fil, Mount Lebanon, Sinn el Fil, Mont-Liban, Lebanon
Listed on 2026-10-06
Listing for:
eQuality
Full Time
position
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Listed on 2026-10-06
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Data Analyst, Data Engineering
Job Description & How to Apply Below
• A data engineer with Practical experience in Python, SQL, databases, data processing, and automation, with an interest in working across business data and applied AI.
• The role focuses on building reliable data pipelines, integrating and transforming data from multiple sources, automating data processes, and supporting the datasets and workflows behind our image-recognition solutions.
Responsibilities include:
• Build and maintain data pipelines and ETL/ELT processes.
• Extract, transform, validate, and integrate data from databases, APIs, Excel, CSV, FTP/SFTP, and cloud sources.
• Develop Python/Pandas scripts for data processing and automation.
• Write and optimize SQL queries for data extraction, transformation, and reconciliation.
• Ensure data quality, consistency, and integrity across systems.
• Automate recurring data-processing, validation, and reporting workflows.
• Prepare and manage datasets used for image-recognition and computer-vision models.
• Monitor model outputs and investigate data-related recognition errors and performance issues.
• Support model training, testing, evaluation, and comparison of model versions.
• Build datasets and data processes that support Power BI and business reporting.
• Collaborate with development, business, and data teams to deliver practical data solutions.
Position Requirements
Bachelor,
1+ Years
work experience What we are looking for:
· Bachelor’s degree in Computer Science, Computer Engineering, Data Engineering, Software Engineering, or a related field.
·1–3 years of relevant experience in data engineering, data processing, automation, or a related technical role.
· Good knowledge of Python, Pandas, SQL, and relational databases.
· Understanding of ETL/ELT and data-pipeline concepts.
· Strong analytical and problem-solving skills.
· Strong attention to data quality and accuracy.
· Comfortable working with large, messy, real-world datasets.
· Familiarity with APIs and formats such as JSON, XML, CSV, and Excel.
· Good communication and documentation skills.
Nice to Have:
· Experience with Azure, Azure Data Factory, Databricks, Airflow, or similar tools.
· Power BI experience.
· Git/Git Hub and Docker.
· REST APIs and FTP/SFTP integrations.
· Experience with computer vision or machine learning.
· Familiarity with Py Torch , Tensor Flow, or similar frameworks.
· Knowledge of model evaluation metrics such as precision, recall, F1 score, and confidence thresholds.
· Experience with FMCG, retail, sales, customer, or field-force data.
· Bachelor’s degree in Computer Science, Computer Engineering, Data Engineering, Software Engineering, or a related field.
·1–3 years of relevant experience in data engineering, data processing, automation, or a related technical role.
· Good knowledge of Python, Pandas, SQL, and relational databases.
· Understanding of ETL/ELT and data-pipeline concepts.
· Strong analytical and problem-solving skills.
· Strong attention to data quality and accuracy.
· Comfortable working with large, messy, real-world datasets.
· Familiarity with APIs and formats such as JSON, XML, CSV, and Excel.
· Good communication and documentation skills.
Nice to Have:
· Experience with Azure, Azure Data Factory, Databricks, Airflow, or similar tools.
· Power BI experience.
· Git/Git Hub and Docker.
· REST APIs and FTP/SFTP integrations.
· Experience with computer vision or machine learning.
· Familiarity with Py Torch , Tensor Flow, or similar frameworks.
· Knowledge of model evaluation metrics such as precision, recall, F1 score, and confidence thresholds.
· Experience with FMCG, retail, sales, customer, or field-force data.
Additional Information / Benefits
Growth Opportunity:
The role offers exposure to data engineering and applied AI, with opportunities to grow into advanced data engineering, analytics engineering, machine learning, computer vision, and AI infrastructure.
The role offers exposure to data engineering and applied AI, with opportunities to grow into advanced data engineering, analytics engineering, machine learning, computer vision, and AI infrastructure.
Contact Information
Contact Name: eQuality
Preferred method of contact: Email with CV via Application Box below.
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