Master-Works is seeking a skilled Data Engineer to join their team in Riyadh, Saudi Arabia. This role combines traditional data engineering with modern MLOps practices, offering an exciting opportunity to work with cutting-edge technologies and frameworks.
The ideal candidate will bring 3+ years of experience in data engineering, with a strong focus on MLOps and data pipeline development. You'll be responsible for designing and maintaining scalable data pipelines, implementing MLOps best practices, and managing cloud-based data infrastructure. The role requires expertise in Python, SQL, and various cloud platforms (AWS, Azure, Google Cloud).
As a Data Engineer at Master-Works, you'll work closely with data scientists, analysts, and product teams to deliver robust data solutions. You'll be involved in every aspect of the data lifecycle, from initial collection to processing and storage, ensuring data integrity and availability for analytics and machine learning models.
The position offers the opportunity to work with modern technologies including Docker, Kubernetes, and DataIKU, while staying at the forefront of data engineering and machine learning advancements. You'll play a crucial role in building and maintaining the data infrastructure that powers the company's analytics and machine learning capabilities.
This role is perfect for someone who combines strong technical skills with collaborative abilities, as you'll be working across teams to understand business requirements and implement effective data solutions. The position requires a bachelor's or master's degree in a relevant field and offers the chance to work in a dynamic, on-site environment in Riyadh.
If you're passionate about data engineering, excited about MLOps, and ready to take on challenging projects that impact business decisions, this role offers the perfect opportunity to advance your career while working with cutting-edge technologies and frameworks.