Technical Architect – Advanced Analytics & Azure

Requirement ID: Posted On: 12 Aug 2026 Location: Brussels Belgium (TBEL Brussels) Start Date: 30 Sep 2026 Duration: 6 Months Status: Open Experience: 10 Years

We are seeking a highly experienced Technical Architect with a proven track record in advanced analytics machine learning and cloudbased data platforms. This role requires handson expertiseacademic knowledge alone is not sufficient. You will design guide and implement sophisticated analytics solutions working across Azure Hadoop ecosystems and modern data engineering stacks.

You will collaborate with business and technical stakeholders present complex concepts in simplified terms and ensure analytics solutions are delivered into wellcontrolled productionready environments.

• Architect and implement advanced analytics solutions using Python ML techniques NLP LLMs AI agents and optimization methods.
• Lead handson development of analytics pipelines ensuring productiongrade quality and governance.
• Work with relational databases (SQL) and ETL frameworks for data collection transformation and modeling.
• Apply deep knowledge of the Hadoop ecosystem (Cloudera experience is a plus).
• Design and optimize solutions on Azure Cloud ensuring scalability reliability and compliance.
• Present analytical results and solution designs to diverse audiencesfrom end users to senior management.
• Translate complex technical concepts into clear businessfriendly explanations.
• Stay current with emerging tools technologies and methodologies in data science and analytics.
• Work within Agile delivery frameworks ensuring contributions align with product goals.
• Demonstrate creativity adaptability and strong problemsolving capabilities.

• 10 years of handson experience in advanced analytics data engineering or technical architecture.
• Strong proficiency in Python; knowledge of Scala and Spark is an advantage.
• Expertise in SQL ETL processes and relational database querying.
• Mastery of analytical techniques: machine learning NLP LLMs AI agents mathematical optimization.
• Experience implementing analytics solutions in controlled production environments.
• Strong communication and customerfacing skills; ability to simplify complex concepts.
• Experience with Azure Cloud and Hadoop ecosystems.
• Selfmotivated detailoriented and able to learn quickly.
• Strong organizational and timemanagement skills.
• Agile development experience.

• Digital: Microsoft Azure
• Digital: Data Science

Brussels Belgium