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# AI & Data Engineer

- **Company:** SECO Belgium
- **Location:** Diegem (Machelen), Belgium
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Geographic Information Systems, Artificial Intelligence, Microsoft Azure, Big Data, Business Systems, Information Engineering, Data Infrastructure, Data Transformation, Cursor, Python (Programming Language), Machine Learning, Software Engineering, Web Applications, ReactJS, Information Technology, Data Pipelines, Databricks
- **Published:** September 3, 2026
- **Apply:** https://be.indeed.com/viewjob?jk=cd7276e6fbf340ec

## About the Role

* Bachelor's or Master's degree in Computer Science, Data Science, or a related field (or equivalent experience).
 * Strong experience in software development with Python and/or JavaScript
 * Experience in data engineering, especially building pipelines, transforming data, and working with large datasets
 * Experience with machine learning, AI frameworks, or related projects.
 * Ability to work with complex and heterogeneous data sources
 * Experience working with Azure as a deployment platform is a strong plus
 * Experience with Databricks or modern data platforms is a strong plus
 * Experience with AI-assisted development tools such as Cursor is a plus
 * Strong problem-solving mindset and ability to move from an unclear business problem to a concrete technical solution
 * Entrepreneurial mindset: autonomous, proactive, hands-on, and comfortable working in a fast-paced environment
 * Product-oriented thinking: you care not only about the code, but also about the user, the business value, and the final impact
 * Interest in the construction, engineering, inspection, infrastructure, or real estate sector is a plus
 * You are fluent in English; knowledge of French or Dutch is a plus.

## Description

You will contribute to the full product lifecycle, from idea to production:

 * Research & Product Development: Explore new Data & AI use cases linked to construction, technical inspection, risk management, buildings, infrastructure, and engineering processes
 * Data Collection & Structuring: Identify, collect, clean, and structure large volumes of data from multiple sources such as documents, images, project data, inspection reports, sensors, geospatial data, and business systems
 * Data Pipelines: Build robust and scalable data pipelines to prepare, enrich, and deliver high-quality datasets for AI models and product features
 * AI Enablement: Support the development and integration of AI models by preparing the right data foundations, evaluating outputs, and improving model performance through better data engineering
 * Application Development: Develop modern web applications and client-facing products using technologies such as JavaScript, React, and Python
 * Prototyping & Industrialization: Rapidly build prototypes, test them with users, iterate fast, and help transform successful concepts into reliable products
 * Innovation & Startup Mindset: Work in a fast-moving environment where ownership, creativity, pragmatism, and execution speed are critical
 * Cross-functional Collaboration: Collaborate with business experts, engineers, inspectors, data specialists, and external partners to turn complex industry challenges into usable digital solutions


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