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Onsite data engineer role in Riyadh building and maintaining scalable ETL/ELT pipelines, data warehouses/lakes, and analytics platforms for enterprise reporting, advanced analytics, and AI. Core stack: Python, SQL, Apache Spark, Airflow, Snowflake/Databricks, and cloud platforms (AWS/Azure/GCP).
bTranz Technological Solutions Private Limited is seeking an experienced Data Engineer in Riyadh. The role focuses on designing scalable data pipelines and analytics platforms to support enterprise reporting,…
We are looking for an experienced Data Engineer to build and maintain scalable data pipelines, data integration solutions, and analytics platforms that support enterprise reporting, advanced analytics, and AI…
bTranz Technological Solutions Private Limited in Saudi Arabia seeks an experienced Data Engineer to build scalable data pipelines, warehouses, and analytics platforms supporting enterprise reporting and AI…
Onsite Data Engineer at bTranz Technological Solutions in Saudi Arabia, designing and maintaining scalable ETL pipelines, data warehouses, and cloud analytics platforms supporting enterprise reporting and AI initiatives. Day to day involves batch and real-time processing, data quality and security, and optimizing data models and queries.
Builds and maintains scalable ETL/ELT data pipelines, data warehouses, data lakes, and analytics platforms supporting enterprise reporting, analytics, and AI initiatives at an onsite role in Riyadh. Core stack: Python, SQL, Apache Spark, Airflow, Snowflake/Databricks, and AWS/Azure/GCP cloud data platforms.
Senior AI/ML & Data Science Engineer at an ERP and mobile app development company, building, deploying, and optimizing intelligent solutions and predictive models for Saudi market applications. Involves hands-on production AI work and close collaboration with data engineers and business stakeholders.
Builds, deploys, and optimizes machine learning, predictive, and Generative AI (LLM/RAG) solutions for enterprise applications in Riyadh. Core stack includes Python, SQL, TensorFlow/PyTorch, NLP, MLOps, and cloud AI services, with both senior (8-10 yrs) and intermediate (4-6 yrs) tracks.
Intermediate-level data engineer building and maintaining scalable ETL/ELT pipelines, data warehouses, data lakes, and batch/real-time processing to support enterprise reporting, analytics, and AI. Core stack: Python, SQL, Spark, Airflow, Snowflake, Databricks, and cloud platforms (AWS, Azure, GCP), based in Saudi Arabia.
Data engineer at bTranz who designs and maintains scalable ETL/ELT pipelines, data warehouses/lakes and batch and real-time processing to power enterprise reporting, analytics and AI initiatives, while ensuring data quality and security and collaborating with data scientists and application teams.
An experienced Data Engineer role, onsite in Riyadh, building and maintaining scalable ETL/ELT pipelines, data warehouses/lakes, and analytics platforms supporting enterprise reporting and AI. Core stack: Python, SQL, Apache Spark, Airflow, Snowflake/Databricks, and cloud data platforms (AWS/Azure/GCP).
Senior data engineer in Riyadh who builds and maintains scalable ETL/ELT data pipelines, data warehouses, and analytics platforms supporting enterprise reporting, analytics, and AI initiatives. Works with data scientists and application teams while ensuring data quality and security.
An experienced Data Engineer role (onsite in Riyadh) building and maintaining scalable ETL/ELT pipelines, data warehouses/lakes, and analytics platforms supporting enterprise reporting and AI initiatives. Core stack: Python, SQL, Apache Spark, Airflow, Snowflake/Databricks, and cloud data platforms (AWS/Azure/GCP).
Senior engineer at bTranz in Riyadh, Saudi Arabia, building and deploying production-ready AI solutions: machine learning, deep learning, and NLP models, plus Generative AI applications using LLMs and RAG, along with data preprocessing, feature engineering, and scalable pipelines.
bTranz, an ERP and mobile app development company, is hiring AI/ML & Data Science Engineers in Riyadh (Saudi nationality preferred) to develop, deploy, and optimize ML, deep learning, and Generative AI (LLM/RAG) solutions. Core stack: Python, SQL, TensorFlow/PyTorch, NLP, and MLOps; senior (8-10 yrs) and intermediate (4-6 yrs) levels.
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