Data Expert
Hybrid
Wavre, Belgium
Full Time
04-04-2025
Job Specifications
Tu es motivé-e à t’engager dans la transition énergétique par des actions concrètes au cœur des systèmes d’information des acteurs du monde de l’énergie ? Ceci est probablement une opportunité pour toi.
Basée à Wavre, Ingestic est une entreprise de consultance IT à taille humaine active dans le secteur de l’énergie en Belgique où nous disposons d’une expertise reconnue.
Un marché en pleine croissance et en pleine évolution qui offre de multiples opportunités et de nombreux défis à relever !
Le sens de nos activités peut se résumer comme suit : “ Help the business to make the best use of information systems within the organization to get value from your data ”.
Notre équipe est composée de Business Analysts et de profils spécialisés en Data qui travaillent en étroite collaboration auprès de nos clients (essentiellement les GRD belges, les transporteurs et les fournisseurs d’énergie).
Tu as déjà acquis et développé des compétences par des expériences professionnelles en tant que Data Expert (Data Analyst, Data Engineer, Data Scientist, Data Architect, …) et tu es à la recherche d’un nouveau défi au sein d’une équipe jeune et motivée ?
Voici notre proposition : Ton job ?
En Tant Que Consultant Data Ingestic, Tu Es L’expert-e En Analyse Et/ou Exploitation Des Données Au Service De L’entreprise Cliente Et/ou Du Support Sur Les Solutions Déjà Déployées
Compréhension du contexte client, ses processus et ses données
Création des flux de récolte de données et des architectures (API, data platform…)
Exploitation des données (visualisation, frontend)
Partage des insights et amélioration continue
Consultant polyvalent, tes responsabilités gravitent autour des tâches suivantes :
Tu te places comme expert-e IT pour le client. Tu analyses les use cases business en plongeant au cœur de leurs data et processus et modélises clairement les problématiques complexes.
Tu adaptes ton discours technique face à un auditoire business pour vulgariser tes conclusions.
Tu rédiges des documents clairs et impactants, adaptés au public cible (technique ou business) : analyses, spécifications, documentations.
Ton profil ?
Tu es titulaire d’un diplôme de Master (Sciences des données, Ingénieur Informatique, Sciences informatiques, Ingénieur Industriel, Informatique de Gestion, …) ou équivalent par expérience.
Niveaux minimum demandés en langue : Français (C2/parfaite maîtrise), Anglais (B2/ avancé) et Néerlandais (B1/intermédiaire).
Expérience professionnelle dans un poste Data de 2 à 4 ans.
Tu as d’excellentes compétences analytiques et conceptuelles.
Tu travailles de manière autonome, efficace et tu es orienté solutions.
Tu as une très bonne communication orale et écrite.
Tu es à l’écoute de tes interlocuteurs afin d’obtenir une compréhension précise des besoins du client.
Tu as l’esprit d’équipe et le sens de l’initiative tout en gardant ton esprit critique
Tu Possèdes Les Compétences Techniques Suivantes
Tu maîtrises une technologie Cloud (AWS, Azure, …) et les services associés à la gestion des données (DataFactory, Databricks, Data Lake ; Athena, Glue, SageMaker…) et des services tels que S3, ECS, Cognito, IAM, CloudFront, Lambda, API Gateway, RDS, Transfer Family… Tu possèdes une certification attestant de cette connaissance.
Tu maîtrises une technologie de manipulation/visualisation de données, tel que Power BI, Tableau.
Tu maîtrises SQL et NoSQL (MongoDB).
Tu as déjà fait de la manipulation de données en Python et/ou en R
Tu maîtrises très bien Excel (exploitation des données, schématisation, tables pivot, macros…)
Tu as une expérience avec SSIS/SSAS.
Tu sais modéliser (UML, BPMN, Draw.io…)
Par ailleurs,
Tu connais les langages de programmation frontend Vue.js, voire Angular ou React.
Tu connais les langages de programmation backend Node.js, Express.js et GraphQL.
Tu as déjà travaillé avec de l’Infrastructure As Code (AWS CDK, CloudFormation)
Tu connais Graphana et Cognito.
Tu as déjà utilisé un outil de SSO (Auth0, …).
Tu utilises les bonnes pratiques de codage (Git).
Tu connais l’outil Docker.
La connaissance du secteur énergétique belge et une expérience professionnelle dans ce secteur (idéalement auprès d’un GRD) sont de gros atouts.
Notre offre ?
Tu rejoindras une entreprise jeune en plein développement qui t’offrira une formation continue et de nombreuses opportunités de progression.
Tu bénéficieras d’une grande flexibilité (télétravail et autres) pour te permettre de trouver un bon équilibre entre ta vie privée et professionnelle.
Nous t’offrons un package salarial attractif et complet comprenant :
Un salaire à la hauteur de ton expérience et de tes compétences
Prime individuelle sur base de tes performances et prime sur objectif commun (CCT90)
Indemnité forfaitaire mensuelle de télétravail.
Plan cafétaria
Une voiture de société avec carte essence et carte mobilité Modalizy
Des chèques repas
Une assurance hospitalisation
Une assurance groupe
Intéressé-e ? Envoie-nous ta candidature ainsi que ton CV via le formulaire ci-dessous, nous prendrons contact avec toi dans les plus brefs délais.
Intéressé-e ? Remplis le formulaire ci-dessous
Notre équipe prendra contact avec toi le plus rapidement possible.
About the Company
Chez Ingestic, nous transformons les données en leviers de croissance et d'innovation. Ancrée dans la transition énergétique, notre expertise s'étend naturellement aux domaines de la mobilité et des Smart Cities, réinventant ainsi les opérations et stimulant l'innovation grâce à une vision résolument tournée vers l'avenir. Notre cœur de métier est structuré autour d'un Business Operating Model centré sur le business de nos clients. En partant d'une analyse globale de vos besoins spécifiques, nous déployons une stratégie sur... Know more
Related Jobs
- Company Name
- ENGIBEX
- Job Title
- Software and AI Quality Assurance Engineer
- Job Description
- We are a Belgian engineering consulting firm that assists SMEs and large industrial organizations in bringing their innovation and R&D initiatives to life. Job Description Gain a comprehensive understanding of the sorter's mechanical and optical systems to perform system integration tests. Ensure smooth integration and proactively identify potential integration issues. Develop and implement quality deliverables such as exploratory testing, automated test cases, reports, and documentation. Identify and document edge test cases and execute tests carefully, logging and documenting results meticulously. Analyse tests and report outcomes accurately and objectively to stakeholders. Design and maintain software quality assurance processes. Analyse & present test results, identify technical issues and their root cause. Conduct statistical analysis. Participate in technical meetings for requirement refinement. Gain hands-on work experience with industrial machines. Drive the automation test infrastructure strategy by researching methodologies and proposing new tools and equipment. Design automation infrastructure in collaboration with other engineers to streamline test case definition. Profile / Requirements Bachelor's or master's degree in software engineering, Industrial Engineering or equivalent. Ability to write production quality code in Python and other programming/scripting languages as needed. Experience in manual testing for web-based and/or desktop applications. Familiarity with automation test frameworks and equipment (e.g., robot_python, hardware-in-the-loop systems.). Knowledge of LAN and relevant troubleshooting. Experience with Git. Strong communication skills for effective interactions with project stakeholders, including presenting content and reporting issues. Analytical & structured problem-solving skills. Hands-on, proactive and engaged in onsite work. Willing and able to travel. Nice To Have Knowledge of Behaviour Driven Development (BDD) and writing features files. Experience with product lifecycle systems such as Azure DevOps. Experience with Agile methodologies (Lean development). Knowledge in DevOps infrastructure administration and maintenance: Team city and/or GitLab. Experience testing in C# or C++ ecosystem. Experience with PyTest. Experience with image processing and/or computer vision systems. Experience testing AI systems. ISTQB-Foundation Level certificate.
- Company Name
- ING Belgium
- Job Title
- Senior DataStage Engineer
- Job Description
- What will you do? You work in a squad as an IT Engineer to unlock a wide range of sources to our Information Warehouse and Data Marts. Sources deliver batch but also real-time. Modeling in the Information Warehouse is based on a 'Data Vault'-like model. Data Marts are dimensionally modeled and are accessible by end users through Cognos Analytics. Resources and their metadata are first described by the Business in the Information Governance Catalog and are logically modeled where necessary using the IBM BDW (Banking Data Warehouse) reference model. Your work covers the end-to-end data integration process from technical analysis to deployment and management. Your work environment ING works agile in multi-disciplinary teams (i.e. squads) based on Scrum and DevOps. As an engineer you work in a squad, but you are also part of a cross-squad expertise focused chapter. In your case, that is the Data Processing chapter. Check our way of working: https://www.youtube.com/watch?v=NcB0ZKWAPA0 Who are you? You are an enthusiastic, motivated engineer who enjoys working in a team on complex data integration solutions. You automate your own work! Instead of building the same job several times, standardizing and automating work is deeply rooted in your Engineer DNA. This applies not only to job building but to complete end-to-end delivery, including automatic testing and continuous delivery. You don't shy away from challenges. In fact, you go ahead and share your solution with your colleagues. You also endorse the values of ING, you consider it natural to behave in accordance with these values in your work and you are, like all ING employees, prepared to take the banker's oath. For more information, In Addition, You Recognize Yourself In The Following Profile Fluency in English Experience in end-to-end delivery of a data integration solution, including deployment and management Working experience in IBM Infosphere DataStage is a must Knowledge of SAS Enterprise guide is a big plus Experience in Scheduling tools (preferably UAC) Working experience in SQL Knowledge of Oracle is a plus Knowledge of UNIX, Linux is a plus Experience in agile development (pre) Familiar with test driven development (pre) Good knowledge of dimensional modelling Working experience in GIT Familiar of Continuous Delivery , ING Bank
- Company Name
- ALTEN Belgium
- Job Title
- Data Analyst
- Job Description
- Job Opening: Data Scientist / Analyst – Dataiku Platform Location: Brussels Seniority: 3–5 years of experience About ALTEN Belgium ALTEN Belgium is a leading technology consulting and engineering company, specializing in Engineering, Life Sciences, and IT services. With a strong presence across various sectors, including automotive, pharmaceuticals, and finance, ALTEN Belgium leverages its expertise to deliver innovative solutions to clients throughout the country. As part of the global ALTEN Group, the company combines local knowledge with international experience to drive technological advancement and support clients in achieving their goals. About the Role At our clients company, data is at the heart of our transformation. Our Enterprise Data & Analytics function is evolving into a Center of Expertise (CoE), delivering advanced analytics, automation, and machine learning solutions. We are seeking a Data Scientist / Analyst with robust technical skills to engineer, optimize, and promote our Dataiku (DSS) platform, utilized by both expert and citizen data scientists. This role combines hands-on data science with platform optimization and support responsibilities. If you're a problem-solver passionate about transforming data into actionable insights and proficient in tools like Python, Git, Terraform, and AWS, this opportunity is for you. --------------------------------------------------------------------------------- Key Responsibilities Data Science & Platform Enablement Design, build, and automate data workflows and analytics pipelines using Dataiku (DSS). Support internal teams and citizen data scientists in effective Dataiku utilization. Promote best practices in workflow structure, code quality, and governance. Platform Development & Automation Manage and enhance our AWS-hosted Dataiku platform. Develop and maintain automation pipelines, integrations, and reusable components. Monitor and refine platform usability and performance. Cross-Team Collaboration Collaborate with cloud, infrastructure, MLOps, and data governance teams. Assist in deploying ML pipelines into production alongside data science teams. Work with support teams to resolve issues and improve user experience. Documentation & Knowledge Sharing Create comprehensive guides, documentation, and tutorials. Contribute to the development of an internal knowledge base on analytics and Dataiku usage. --------------------------------------------------------------------------------- Qualifications Must-Have 3+ years in data science, analytics, or data platform roles. Hands-on experience with Dataiku DSS. Proficient in Python, with working knowledge of Git and Terraform. Good understanding of AWS infrastructure and cloud deployments. Comfortable with automation, platform monitoring, and support. Nice-to-Have Experience with MLOps, DevOps, or ML pipeline deployment. Familiarity with platform governance and performance tuning. Exposure to enterprise data environments and integration work. Soft Skills Clear communicator across technical and non-technical teams. Problem-solver with a proactive mindset. Team player with a drive to learn and improve. --------------------------------------------------------------------------------- Education Bachelor’s degree in Data Science, Computer Science, Engineering, or a related field. --------------------------------------------------------------------------------- Why Join Us? Be part of a transformative journey in data utilization. Collaborate with top-tier data teams and contribute to scaling a modern data science platform. Gain exposure to a diverse ecosystem of tools, projects, and business domains. Combine technical expertise with cross-functional impact in a dynamic, inclusive culture. Please note: ALTEN Belgium is only considering candidates who do not currently require a work permit and will not require one in the future to work in Belgium.
- Company Name
- Procter & Gamble
- Job Title
- AI Engineering Internship
- Job Description
- Job Location Brussels Job Description Do you have passion for technology and a desire to learn and grow continuously? Do you want to develop a platform for AI? Then join P&G as an AI Engineering intern. Through your internship you will build your AI Engineering skills to help P&G's business processes to leverage AI. The space of Image Segmentation is developing fast - what are the criteria for using "classic" vision (such as YOLO) versus GenAI versus few-shot segmentation? Leveraging P&G's AI platform, how do you bring this to end-users / citizen developers? YOUR CONTRIBUTION TO P&G’S SUCCESS: Partner with data scientists, product managers, infrastructure engineers and peer AI Engineers to design, develop, operationalize, integrate, and scale new algorithmic products including Generative AI models; Build enterprise AI platforms and accelerators to enable deployment of applications with AI core and access AI models via APIs or batch pipelines; Develop high quality, standard-compliant and tested code. Contribute code to shared libraries; Implement DevOps methodologies, DataOps and MLOps principles in day-to-day work; Develop continuous integration and continuous delivery pipelines; Continuously evaluate in proof of concepts, recommend best technologies and ML models. Job Qualifications YOU ARE THE RIGHT FIT IF YOU ARE/HAVE: Pursuing a Master’s degree in Computer Science, Data Engineering, Information Systems, or a related quantitative field; Familiarity with programming languages such as Python; Basic knowledge of machine learning, image segmentation is a plus; Strong analytical skills and a passion for problem-solving; A proactive attitude and eagerness to learn new technologies and methodologies. YOUR ADVANTAGES: A temporary contract for the duration of your internship, with an attractive compensation package; Monthly allowance: 2319,5 EUR brut/month, prorated 13th month based on the months worked during your internship period; A flexible benefits plan to customize to your personal needs and kilometer allowance/public transport reduction; Access to Benefits at work platform: A large benefits platform with employee discounts on renowned shops and online commercial platforms as well as on leisure activities and well-known amusement parks; Working in an international and inclusive environment, with diverse and supporting colleagues; Continuous self-development via coaching, trainings and a general Growth Mindset working environment; A vibrant and modern working environment, supporting employees’ wellbeing: Subsidized company restaurant; On-site vibrant Café for breaks and less formal meetings; On-site fitness room and possibility to join regular group sport activities; Flexibility in terms of working hours; Employee Assistance Program: free professional counseling services, work-life resources, and mental health support. Supporting employee's commute: plenty of parking facilities for both cars and bikes, shower facilities, shuttle between Heizel metro and the office, carpooling community. ARE YOU EXCITED ABOUT THE ROLE? DEEP DIVE INTO P&G AND CHECK THE BELOW INSIGHTFUL LINKS: Our hiring process consists of three main steps: 1) application, 2) online assessments and 3) interviews. Click here to get all the tips to be fully prepared. P&G is driven to make life better, not just within the company, but across the globe. Click here to check out how we make a meaningful impact on the world. We are the world’s largest consumer goods company. Click here to discover about our iconic brands. At P&G #weseeequal We are an equal opportunity employer and value diversity at our company. At P&G we strive to build a culture where everyone feels welcome, included, and able to bring their full selves to work. We ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process. Please click here if you require an accommodation during the application process. Please make sure to wait to hear back from us regarding your accommodation before proceeding with the online assessment, we thank you in advance for your patience. Job Schedule Full time Job Number R000122781 Job Segmentation Internships (Job Segmentation)Starting Pay / Salary Range