Senior Data Engineer

Scope Our mission as a Data Team is to support EVS activities through trusted insights and well-governed data, enabling informed decision-making, improving operational efficiency and uncovering opportunities that drive sustainable business growth. As EVS accelerates its digital transformation and AI adoption, data is becoming a critical enabler of innovation, operational excellence and business growth. This drives an increasing demand for reliable, accessible and scalable data capabilities across the organization. To support this ambition and help shape the next generation of data solutions at EVS, we are looking for a Senior Data Engineer to join our team. The Senior Data Engineer joins an established and collaborative Data Team, bringing experience and fresh perspectives to help design, build and evolve trusted data products that power analytics and AI-driven initiatives. By sharing best practices and contributing to technical decisions, he/she help strengthen the team and shape the future evolution of EVS's data platform. Join us to help build the data foundation that will power EVS's next generation of analytics and AI-driven innovations. Job Description Reporting to the Head of Data & BI, the Senior Data Engineer will join a hybrid (Liège / Porto) team composed of Data Engineers and Data Analysts. He/she will contribute to the continuous evolution of EVS's data platform while promoting engineering excellence, knowledge sharing and modern data practices. His/her role will be to : Collaborate with key stakeholders, including Data Owners, Report Owners and Data Stewards, to understand business needs and translate them into scalable data solutions. Take end-to-end ownership of data solutions, from requirements analysis and technical design to deployment, monitoring and continuous improvement. Design, develop and maintain data models, pipelines and transformation processes using Microsoft Fabric, dbt and Azure technologies. Build and maintain trusted data foundations that support analytics, reporting and AI-powered solutions. Contribute to the development of AI-driven use cases and data products. Optimize data solutions for performance, scalability, reliability, maintainability and cost efficiency. Implement CI/CD practices, automated testing and deployment processes to operate data solutions in production. Contribute to the definition and evolution of EVS's data architecture, technical standards and engineering best practices. Implement and maintain security, governance and data quality controls to ensure the protection and reliability of data assets. Ensure technical and functional documentation remains accurate, complete and up to date. Monitor, troubleshoot and resolve issues affecting the data platform, infrastructure and pipelines. Share expertise and best practices within the Data Team, adopting a coaching mindset to help colleagues grow and strengthen the team's overall capabilities. Profile Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science or related field. 5+ years of experience in data engineering in Microsoft Azure environment. DP-700 Fabric Data Engineer Associate certification is a plus. Soft skills Strong customer focus and stakeholder management skills. Excellent collaboration and communication skills. Autonomous, proactive and well-organized. Analytical, pragmatic and quality-driven mindset. Willingness to learn, share knowledge and help others grow. Excellent written and spoken English. French is a plus. Technical skills Must have Experience designing, building and operating production-grade data solutions. Expertise in Microsoft Azure data services. Strong SQL and Python/PySpark skills. Experience with data modeling, ETL/ELT and Lakehouse architectures. Experience with CI/CD, testing, version control and monitoring. Ability to translate business needs into scalable solutions. Strong assets Microsoft Fabric experience. Experience with dbt. Knowledge of data governance, security, lineage and data quality. Experience supporting analytics and AI use cases. Nice to have Power BI. AI Engineering concepts (LLMs, RAG, ML, Agents). Microsoft Dynamics 365 experience. Microsoft 365, Azure DevOps, Jira, Confluence, UML and BPMN familiarity. Offer Becoming part of the EVS team means receiving a competitive salary aligned with your skills and market standards, along with a wide range of wellness and healthcare benefits. Our flexible schedules and hybrid working policies help support work–life balance. EVS also provides opportunities for career growth, internal mobility, and a broad range of training programs. You will join a friendly, lively, and inclusive environment that values motivation and ambition. Visit our website to learn more about why you should join EVS!