Data Engineer @ Data Science UA

Description Position at Ness Digital EngineeringJob ID 6590Why NessWe know that people are our greatest asset. Our staff's professionalism, innovation, teamwork, and dedication to excellence have helped us become one of the world's leading technology companies. It is these qualities that are vital to our continued success. As a Ness employee, you will be...

IF YOU ARE A seasoned professional with hands-on experience in building large-scale GenAI, AI & Data Science systems from idea to production Proficient in GenAI, ML frameworks and platforms, MLOps, and Clouds Skilled at navigating high uncertainty while staying focused on client success Resilient in a fast-paced and dynamic environment Adaptable and eager to...

Have academic or industrial experience and PhD or master's degree in computer science or another quantitative field. Have an analytical background with experience in statistical data analysis. Demonstrate experience with coding in one or more of the following languages (Python, Java, C/C++). Possess experience with Internet protocols (DNS/HTTP/TLS/TCP). Have...

Role Overview As our Software Architect, you will be one of the key technical decision-maker guiding the evolution of our systems and products. You will work closely with stakeholders across the business to define architectural direction, build prototypes, and ensure our technical solutions are scalable, maintainable, and future-proof. You will balance...

8+ years of experience in data engineering with a proven track record of leading data projects or teams. Strong programming skills in Python, with expertise in building and optimizing ETL pipelines. Extensive experience with Snowflake or equivalent data warehouses for designing schemas, optimizing queries, and managing large datasets. Expertise in...

Bachelor’s or Master’s degree in Data Science, Computer Science, Biomedical Engineering, or related field. 3+ years of experience in data engineering or data science, ideally in healthcare or clinical trials. Strong skills in Python (Pandas, NumPy) and SQL. Experience with cloud platforms (AWS) and handling time-series or sensor data. (Nice to have)...

You’re a perfect match if you have: 5+ years of proven experience in data engineering Experience building data warehouses, preferably with Azure technologies Proven experience with DataBricks Knowledge how to create both normalized models and star schemas Multiple years of experience building data pipelines, including setting up and implementing CI/CD...

You’re a perfect match if you have: 5+ years of proven experience in data engineering Experience building data warehouses, preferably with Azure technologies Proven experience with DataBricks Knowledge how to create both normalized models and star schemas Multiple years of experience building data pipelines, including setting up and implementing CI/CD...

🎯 What you’ll need to succeed in this role: At least 3+ years of proven commercial experience designing and implementing scalable AI solutions (Machine Learning, Predictive Modeling, Optimization, NLP, Computer Vision, GenAI). Proficiency in developing ML algorithms from scratch to production deployment. Strong programming skills in Python: writing...

What we expect 5+ years of professional experience in Data Science or ML Engineering, including production deployments MSc or PhD in Computer Science, Statistics, Mathematics, Physics, or related technical field Strong Python programming skills, including software engineering practices (OOP, modular code design, testing) Solid experience with ML frameworks...