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Senior Support Engineer | AGFA HealthCare Global Support Network About the role Join our Global Support Network (GSN) and help ensure the reliability and availability of our healthcare IT solutions used by customers…
Java consultant at Cream Consulting (Audensiel) working on client projects such as internet/mobile apps, billing and contract-management tools, and electronic document management. Day to day: technical analysis, workload estimation, front/back-end Java development with Spring, Maven and Hibernate, plus CI, unit testing and documentation. French or Dutch & English required.
Senior backend developer (via Pauwels Consulting) for a client in the energy sector in Brussels, building and integrating secure authentication/authorization services (OAuth2/OIDC, SSO, MFA) with C#/.NET and Java, plus Kubernetes/AKS and API gateways. Hybrid (2 days onsite), open to employees and freelancers.
Java consultant at Cream Consulting (Audensiel) building front- and back-end applications for client projects such as mobile apps, business administration tools, and document management solutions. Daily work covers technical analysis, estimation, development with Java JEE/Spring/Hibernate, and CI, testing, and documentation.
A consultant role building front-end and/or back-end Java applications for client projects in Belgium — from internet/mobile apps to business tools and document management solutions. Day-to-day work spans technical analysis, estimation, development, CI, testing and documentation, using Java JEE with Spring, Maven and Hibernate.
Consultant role building front-end and/or back-end Java JEE applications for varied client projects (internet/mobile apps, business admin tools, electronic document management, intelligent apps). Day to day covers technical analysis, workload estimation, implementation, and software lifecycle work like CI, unit testing and documentation, using Spring, Hibernate, Maven and similar tools.
Randstad Digital is hiring a senior full-stack developer to embed directly in a client's team in Belgium, building software with C# .NET, JavaScript/HTML, C++, MS SQL/Oracle, and message-bus architecture (Hangfire, RabbitMQ). Work split: 1 day/week in Leuven, 1 day/week in Louvain-la-Neuve, rest remote.
Senior Data Engineer role in Belgium designing and building production-grade data solutions with Snowflake, dbt, and SQL. Day to day: developing robust data pipelines, Kimball dimensional models, and a conformed data layer across source systems, working with the Data Architect, Analytics Engineers, and BI teams.
Founding Data & AI Engineer at AvioBook in Hasselt, Belgium, owning the company's data foundation: building a Databricks medallion-architecture data lake, data governance, and predictive ML plus RAG/LLM pipelines that power AI features in its aviation flight-deck products. Core stack: Databricks, Python, SQL, AWS.
Senior data role at consulting firm Amaris Consulting in Belgium: the hire sets data governance, architecture (Data Lakes, cataloguing) and analytics strategy across an industrial group's multiple entities, staying hands-on with AWS, Snowflake, Power BI, Collibra and MQTT-based data exchange.
Senior Data Engineer at consulting firm delaware BeLux, translating client business needs into end-to-end data platforms: designing data models and ETL flows on Azure, Databricks, Microsoft Fabric, Power BI and SQL. Based in Limburg, Belgium; Dutch and English proficiency required.
Lead Data Engineer at delaware BeLux to drive the Limburg expansion of its Microsoft Data & AI practice: leading presales and turning customer needs into proposals, while hands-on building data architectures and pipelines with Azure, Databricks, and PySpark and mentoring local engineers.
Senior Data Engineer at Koda Tech, joining a newly formed team building the data and knowledge foundations for the company's AI platform — day to day this means hands-on work on scalable ingestion pipelines, retrieval systems, and enterprise data integrations powering AI assistants and search.
Builds and owns the data platforms — cloud infrastructure, orchestration, ELT pipelines, governance and observability — that let data engineers, analysts and scientists turn raw data into insights at scale. Core stack includes Python, SQL, Airflow/dbt/Spark, Terraform/Docker/Kubernetes and platforms like Databricks, Snowflake, Azure or AWS, working hybrid from Belgium with client-site visits.
At Meat&More, a Belgian food producer with 1,600 employees, you'll build the data foundation for its advanced analytics and AI ambitions: translating business needs into reusable datasets, designing medallion-architecture components, and developing performant ETL pipelines and data models using Databricks, Azure Data Factory, SQL and Python.
Meat & More NV is hiring an experienced data analytics engineer to turn business needs into reliable datasets and a robust medallion-style data architecture, build performant ETL processes and pipelines for advanced analytics, machine learning and AI, and safeguard data quality while collaborating with data scientists, data engineers and IT product teams.
SECO Belgium seeks an AI & Data Engineer to build data and AI products for the construction sector, working across research, data collection, AI pipelines, and end-to-end development of client-facing applications in a startup-minded environment. The role blends data engineering, software development, and data science.
Data Engineer at JEMS in Belgium building robust data solutions across the full data lifecycle, turning complex data challenges into actionable business value while collaborating with stakeholders. Core stack: SQL, an object-oriented language (Python/Java/Scala), cloud, and DevOps practices.
Satellit in Belgium seeks a Senior Python Backend Engineer for a global energy management team: designing backend services for asset onboarding, contracts, and market operations, and building APIs and data pipelines using MQTT, RabbitMQ, PostgreSQL, AWS (RDS, S3, IAM, Lambda, ECS), and Docker.
Dataroots (a Talan company) is hiring a Data Platform Engineer in Belgium (Leuven/Ghent) to design and operate scalable cloud data platforms, owning cloud resources, tooling and standards with a strong DataOps/MLOps focus, working on-site with clients alongside flexible remote options.
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