• Design, develop, test, and deploy integrations using Boomi Integration Platform. • Build and maintain integrations between enterprise systems such as NetSuite, SAP, D365, Workday, or Salesforce, and other third-party applications. • Development using the REST Client connector • Familiarity with the Boomi Enterprise Platform, including Integration, APIM, DataHub, and AgentStudio • Design and implement scalable integration workflows and reusable components using tools such as REST APIs, message queues, and other cloud-based solutions. • Perform data mapping, transformation, and validation using Boomi tools. • Monitor integrations and troubleshoot production issues. • Implement proper logging, error handling, and performance optimization. • Collaborate with internal teams to gather integration requirements and deliver solutions. Also support code review and task delegation to other team members. • Maintain documentation for integration processes and APIs.

Role Description We are looking for a Product Assurance & Safety (PA&S) Engineer to ensure mission reliability, regulatory compliance, and safety throughout development and production cycles. The role involves establishing and maintaining PA and safety requirements in line with ECSS, EN9100, and relevant international standards. The successful candidate will be responsible for ensuring the reliability, compliance, and safety of our products throughout the full development and production lifecycle. Working closely with multidisciplinary engineering teams, the candidate will drive quality standards, support risk and hazard management activities, and ensure all processes and deliverables conform to applicable institutional and regulatory frameworks. Location Sint-Stevens-Woluwe (Brussels Area) Start date At the earliest Tasks and Responsibilities - Establish and maintain the PA requirements baseline; prepare project-specific PA documentation in accordance with relevant standards (e.g., ECSS, EN9100, MIL) - Ensure compliance of materials, EEE components, M&P processes and supplier deliverables with applicable PA requirements - Organise, prepare, and facilitate control board meetings (Parts, Radiation, Material and Process Control Boards) - Review customer and supplier documentation and perform independent PA assessments - Contribute to technical and managerial project reviews (PDR, CDR, QR, CCNs) - Oversee control of MAIT processes in cleanroom and laboratory environments, including routine inspections of flight hardware - Manage non-conformities (NCR/SRR), waivers, deviations, and support risk management processes - Participate in internal and supplier audits, in line with industry practices implemented by ESA and other stakeholders - Participate in Safety Review Boards with ESA, NASA, and other agencies - Define and maintain Safety requirements baseline for assigned projects - Perform safety analyses and develop Safety Data Packages, Safety Certificates, Hazard Analyses, FMECA, and Maintenance Safety Assessments in compliance with ECSS, ISS and other international standards - Provide safety input to design teams, ensuring compliance with safety-critical engineering best practices - Ensure timely closure Qualifications - Master's degree in Electrical Engineering, Aerospace Engineering, Mechanical Engineering, or any related technical discipline - 3 to 5 years of professional experience in a Product Assurance, Quality, or Systems Engineering role, preferably within the space, defense, or aerospace industry - Knowledge of ECS, MIL, ISO 9001, and EN9100 standards frameworks - Experience with EEE components, Materials & Processes, configuration management, and cleanroom practices - Understanding system-level safety engineering, including hazard identification, mitigation, and verification Benefits - Working within an exceptional sector with staff located in Belgium, Germany, and the Netherlands - A professional and modern working environment with motivated Administrative Staff, Engineers, Astronaut Training Instructors, and Scientists from diverse backgrounds with a common passion for space - A full-time position with an indefinite contract of employment - A competitive remuneration package and good working conditions - Working from home in part can be a possibility - Individualised training and development programmes

Role Description In your role, you will: - Support new aircraft program development and in-service aircraft in all thermodynamics related issues. - Address aircraft ice/fog protection systems performance, zonal pressure, temperature and flowrate analysis, avionics cooling, and general thermal analysis of systems and structures. - Understand the systems being analyzed and how they interface with the aircraft and other aircraft systems. - Communicate with internal systems/structures groups, system suppliers, and flight test teams to resolve issues, plan tests, analyze and certify modifications. - Help the Global 7000 / 8000 thermodynamic team support activities related to bleed air systems (wing ice protection system, environmental control system, ducting system, etc.). Qualifications - Bachelor's degree in mechanical or aerospace engineering. - A Master's degree including courses in fluid dynamics, atmospheric icing, and heat transfer would be an asset. - Knowledge of MS Office software and familiarity with various aircraft pneumatics systems and their modeling is essential. - Familiarity with CATIA V5 and programming languages such as Fortran 77/95, Visual Basic, and C/C++ would be an asset. - Good interpersonal skills as well as good written and oral communication skills. - Availability to travel on short-term assignments.

Role Description We are looking for a Machine Learning Engineer to join our Artificial Intelligence and Machine Learning team. In this role, you will help build, maintain, and improve production grade machine learning systems that support search, recommendations, personalization, computer vision, predictive modeling, and AI-driven experimentation across a global-scale consumer platform. This is a hands-on engineering role for someone who has experience building ML models and systems at scale, understands how to evaluate model performance in production contexts, and is excited to apply machine learning to practical product and business problems. You’ll partner closely with Data Scientists, Product, Engineering, and other cross-functional partners to translate product and business needs into scalable ML solutions that improve discovery, engagement, retention, and user experience. - Build, maintain, and improve production machine learning systems that support search, recommendations, personalization, computer vision, and predictive modeling. - Contribute to search and discovery improvements, including ranking, filtering, relevance, exact match, boolean logic, and LLM-powered enhancements. - Develop and integrate machine learning models that improve recommendation quality, search accuracy, behavioral analytics, and personalized user experiences. - Write clean, reliable, and maintainable code for ML pipelines, model development, experimentation, and production workflows. - Work with large-scale datasets to train, evaluate, monitor, and improve ML systems. - Collaborate with Data Science, Product, Engineering, and other cross-functional partners to understand requirements, evaluate tradeoffs, and deliver ML solutions that create measurable product and business impact. - Participate in technical design discussions for ML systems, including model architecture, data pipelines, evaluation methods, deployment approaches, monitoring, and scalability. Qualifications - Bachelor’s degree in Computer Science, Engineering, Data Science, Mathematics, Statistics, or a similar technical field, or equivalent practical experience. - 3+ years of experience building, deploying, or maintaining machine learning systems in production environments. - Experience building ML models or systems at scale in areas such as search, recommender systems, personalization, computer vision, predictive modeling, or user-facing ranking systems. - Experience working on consumer-facing products where machine learning directly impacts user discovery, engagement, retention, or personalization. - Experience working with global-scale systems, high-traffic environments, or large-scale user behavior data. - Excellent Python programming skills. - Experience with common machine learning libraries, frameworks, and tooling, such as scikit-learn, PyTorch, TensorFlow, XGBoost, pandas, NumPy, or similar tools. - Ability to reason through ML system design, including data quality, model evaluation, performance tradeoffs, scalability, reliability, and monitoring. - Strong communication skills and experience partnering with Product, Engineering, Data Science, and other cross-functional partners to deliver practical ML solutions for complex product systems. Benefits - Fair and competitive base salary - Fully Remote Optional - Health, Vision, Dental, and Life Insurance for you and any dependents, with policy premiums covered by the Company - Long & Short term disability insurance - Unlimited PTO - Annual Year-End Company Closure - Optional 401k with 5% matching - 12 Paid Holidays - Paid Lunches in-office, or if Remote, a $125/week stipend via Sharebite - Employee Assistance and Employee Recognition Programs - And much more!