Mirka, a pioneer in surface finishing solutions, seeks a Data Platform Engineer to shape the future of our modern Azure Databricks platform. Join our innovative Data & Analytics journey, taking long-term ownership and building scalable foundations for analytics and AI!
About the role
This role involves taking long-term ownership of Mirka's Azure Databricks platform, focusing on creating structure, setting standards, and building scalable foundations for analytics and AI. You will act as the technical counterpart to the Data & Analytics Manager, driving the platform's architecture and technical development.
You are offered a strategic role in developing Mirka's modern data platform, influencing data architecture and AI capabilities. You will collaborate closely with the Data & Analytics Manager, benefit from professional growth with modern technologies, and enjoy flexible work arrangements.
Work tasks
Develop and maintain Mirka's data platform focusing on structure, standardization, and scalability
Architect Databricks, including lakehouse structure and modeling standards
Define integration patterns from source systems to analytics tools
Strengthen governance, security, and access management for the platform
Enable self-service analytics through harmonized and scalable data models
Support Machine Learning and AI initiatives on Databricks
We are looking for
Advanced knowledge of Azure Databricks, demonstrated by architectural development or significant platform contributions
Advanced professional experience in data platform development
Fluent English language proficiency
It is meritorious if you have
Experience with streaming data, particularly in factory environments
Good knowledge of PowerBI for data visualization
To succeed in the role, your personal skills are:
Detail oriented
Responsible
Self sufficent
Our recruitment process
This recruitment process is handled by Academic Work and it is our client's wish that all questions regarding the position is d