
1001 - 5000 employees
🚀 Aerospace
Aerospace • Automotive • Manufacturing
Prima Power is a leading provider of high-performance machines and automated solutions designed to enhance productivity in sheet metal working. They specialize in advanced technologies such as laser cutting, punching, and robotic solutions, providing a modular approach to manufacturing that integrates seamlessly into clients' production processes. With a customer-focused philosophy, Prima Power aims to support businesses across various industries by improving production efficiency and capabilities.
🔥 0 minutes ago
Improve your chances of getting an interview by checking your resume score before you apply.

1001 - 5000 employees
🚀 Aerospace
Aerospace • Automotive • Manufacturing
Prima Power is a leading provider of high-performance machines and automated solutions designed to enhance productivity in sheet metal working. They specialize in advanced technologies such as laser cutting, punching, and robotic solutions, providing a modular approach to manufacturing that integrates seamlessly into clients' production processes. With a customer-focused philosophy, Prima Power aims to support businesses across various industries by improving production efficiency and capabilities.
• Shaping the architecture of data products designed for data analytics and data science specifically focusing on use cases like forecasting, feature engineering, customer behaviour, and integration of new data sources. • Support the data transformation by setting up best practices in areas like Data modelling, performance optimisation, Data Governance etc, ensuring that the data used within Prima is consistent, available and reliable. • Build reusable technology that enables teams to ingest, store, transform, and serve their own data products. • Engaging with data scientists and machine learning engineers to explore the product landscape and refine data requirements for enhanced data infrastructure.
• Strong academic background in STEM disciplines; • Ability to break down problems, learn quickly, and test different approaches; • Programming foundations (language is not important. We value clean, maintainable code above all); • Curiosity for data and software — whether from coursework, projects, or personal initiatives; • Interest in building systems end-to-end: from ingesting and transforming data, to creating models, to deploying services; • Motivation and eagerness to learn from more experienced teammates. • Participation in hackathons, open-source contributions, or side projects; • Knowledge of Python • Experience with data pipelines or distributed data systems (e.g., Spark, Airflow).
• Private healthcare • Gym discounts • Wellbeing programs • Mental health support
Apply Now🕒 February 17
Data Engineer specialized in building distributed data systems for combating financial crimes. Work on ingestion services, reliability, and data processing in a remote setting.