Data Infrastructure Engineer

At Uni Systems, we are working towards turning digital visions into reality. We are continuously growing and we are looking for a Data Infrastructure Engineer to join our UniQue team.

What will you be doing in this role?

• Provide expert support in Data Science processes to the local IT team.
• Apply data engineering practices and tools to develop and maintain data pipelines for extraction, transformation, and archiving.
• Automate the collection, cleaning, transformation, and storage of diverse datasets.
• Conduct exploratory data analysis to detect anomalies, inconsistencies, and missing values.
• Select appropriate data sources and prepare datasets for use in data science models.
• Apply existing data science methods to new challenges and datasets using specialized programming techniques.
• Develop AI-driven solutions to enhance the efficiency and speed of data pipelines and archival processes.
• Design, code, test, document, and update moderately complex programs and scripts.
• Apply recognized standards and tools to ensure high-quality engineering results.
• Perform application testing via provisioning processes.
• Contribute to technical reports, technology roadmaps, and share insights and best practices with the team.
• Monitor and evaluate the performance of models, and develop dashboards to visualize data pipelines and model effectiveness.
• Create and manage virtual machines, including user setup, firewall configurations, and resource management (hardware/software).

Requirements

What do you need to succeed in this position?

• Bachelor Degree in a related field.
• Minimum of 5 years of proven experience in Data Engineering and Network/System Administration.
• Proficient in scripting (PowerShell), including automation of Azure resource provisioning and updates.
• Hands-on experience in creating and managing virtual machines, snapshots, DRS, and host clustering.
• Experience with VMware Horizon, including customization of gold images per Microsoft best practices.
• In-depth knowledge of VMware Horizon components such as Linked Clones, Instant Clones, and ThinApp.
• Strong analytical thinking and problem-solving abilities.
• Proficient in Anaconda and Python, including experience with the Dagster library (desirable).
• Excellent communication skills, both written and verbal.
• Broad understanding of IT domains including Cloud Computing and IT Infrastructure.
• Proficiency in English at a minimum B2 level.

At Uni Systems, we are providing equal employment opportunities and banning any form of discrimination on grounds of gender, religion, race, color, nationality, disability, social class, political beliefs, age, marital status, sexual orientation or any other characteristics. Take a look at our Diversity, Equality & Inclusion Policy for more information.