Data Specialist

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

What will you be doing in this role?

• Advise and assist in technology watch, evaluation studies, architectural considerations, applicable standards, solution patterns and best practices in following areas of expertise: Business Intelligence, Data Analytics, Artificial Intelligence.
• Design, development and deployment of AI-powered applications using Retrieval-Augmented Generation (RAG) and LLM-based architectures.
• Development of NLP pipelines for document processing, summarization, semantic search and conversational AI.
• Implementation of machine learning models (supervised / unsupervised) for recommendation systems, classification and prediction.
• Design and optimisation of data ingestion and transformation pipelines in cloud environments (Azure, Databricks, APIs).
• Data modelling, data analysis and preparation of datasets for machine learning and AI solutions.
• Integration of AI solutions with existing enterprise systems and data platforms.
• Contribution to the design of data lake architectures and ETL processes (Bronze/Silver/Gold layers).
• Development of analytics and reporting solutions (e.g. Power BI dashboards).
• Participation in technical working groups, progress meetings and meetings with the users.
• Assistance during relevant parts of testing, analysis, technical documentation, deployment, evaluation and reporting.

What will you be bringing to the team?

• Bachelor's degree & 17 years of experience in IT OR Master's degree & 13 years of experience.
• At least 5 years of experience with data systems, information systems, or enterprise data environments.
• No less than 3 years of experience in in Business Intelligence (BI), analytics, or enterprise reporting.
• Minimum 2 years of experience with prompt engineering and optimization for Large Language Models (LLMs).
• Strong knowledge of enterprise architecture best practices and solution design patterns.
• Solid expertise in data modelling, data warehouse, and data lake architecture.
• Experience with data mining, data preparation for Machine Learning (ML) / Deep Learning (DL) algorithms.
• Practical experience applying Machine Learning and Deep Learning methodologies in real-world solution development, deployment, or optimization.
• Strong knowledge of Natural Language Processing (NLP) technologies and applications, including semantic search, conversational AI, and text analytics.
• Proficiency with modern data science, AI, and analytics tools, including Python, Jupyter Notebook, TensorFlow, PyTorch, Haystack, and etc.
• Hands-on experience in data engineering and large-scale data processing pipelines, including ETL, APIs, Azure Databricks, and Spark.
• Strong experience with Business Intelligence and reporting platforms, particularly PowerBI.
• Experience with Docker containerization, virtualization, and deployment technologies is considered an asset.
• Familiarity with project management and Agile/Scrum delivery methodologies is an asset.
• Proficiency in English language at C1 level.
• Proficiency in French at B1 level is an asset.