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Hands-on AI engineer at VALD building production AI capabilities — data retrieval, tool use, and agent design — on a large musculoskeletal data lakehouse, collaborating with data engineering, platform, and deployment teams.
VALD, an allied health technology company, seeks an Analytics Engineer to own business-facing dashboards and reliable data sets on its Azure Databricks Data Lakehouse. The role involves building scalable analytics pipelines, applying dimensional modelling, and championing data quality and governance to support Commercial, Product, and Customer Success teams.
VALD, a Brisbane-based allied-health technology company, is hiring an Analytics Engineer to build and own Azure Databricks pipelines, Kimball data models, and Power BI dashboards — partnering with Commercial, Product, and Customer Success teams to deliver trusted client-engagement and commercial insights.
Daintta is a growing data engineering consultancy partnering with government clients to deliver data-driven insights. You will develop pipelines for analytics, ML and business intelligence in a security-conscious…
Daintta are a rapidly growing, values-driven team of specialists who work with government clients across Cyber, Telecommunications and Data. We are seeking a talented and motivated Data Engineer to join our team and…
Junior Data Engineer at Hudhud Maps (Riyadh, hybrid) supporting the design, development, and maintenance of scalable data pipelines for geospatial mapping data. Day to day: building and monitoring ETL workflows with Apache Airflow, Python, and Apache Spark, managing PostgreSQL databases, and organizing large datasets in data lakes on cloud platforms.
Senior ML engineer at Hudhud (Riyadh, Saudi Arabia) designing and deploying NLP and LLM-based solutions — translating research papers into production systems, building scalable ML pipelines, and mentoring junior engineers. Core stack: Python, PyTorch/TensorFlow, Hugging Face, LangChain/Haystack, and cloud platforms.
A Junior Data Engineer in Riyadh designs and develops scalable geospatial data pipelines using Python, Apache Airflow, Apache Spark, and PostgreSQL. The role offers hybrid work flexibility on impactful geospatial projects.
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