Job Opportunities API

adesso Belgium, who are we? We are an IT (start-up) provider working under the adesso umbrella with proven track record in different industries. The new Belgian entity of adesso is part of the expansion and growth strategy of the adesso group. With more than 10.000 employees spread over 60 locations we are entering an exciting period with our presence in Brussels, the capital of Europe. As part of adesso’s group ‘’grow together’’ mission, we want to attract talents who are ready for common growth. This means supporting the company’s vision, strategy, and growth in customers, industries, and, of course, the adessi community in Belgium. Do you want to make data truly work ? At adesso, we are looking for Data Engineers who know how to translate complex data issues into scalable, efficient solutions. Someone who embraces cloud technology, but also understands that good data solutions start with understanding the process behind the numbers. As a Data Architect at adesso, you design and guide the implementation of modern data platforms on Azure, with a strong focus on  Lakehouse architectures  using  Databricks  and  Microsoft Fabric . You translate business goals into pragmatic data architectures, guard the overall coherence, and help teams deliver scalable, secure and future‑proof solutions. You will join our growing  Data & AI team in Belgium , working closely with experienced colleagues from adesso in the Netherlands and across Europe. You get the opportunity to help build a new practice, while benefiting from the knowledge, assets and stability of an established international company. Your Role in projects: Define data architectures & roadmaps Design end‑to‑end data architectures on Azure, covering ingestion, storage, processing, serving and governance. Shape  Lakehouse / data platform  blueprints using technologies such as  Azure Databricks, Microsoft Fabric, Azure Data Lake, Azure Synapse, Azure Data Factory . Translate business objectives and requirements into architectural roadmaps, target architectures and transition steps. Choose and align technologies Evaluate and position  Databricks vs Microsoft Fabric vs other Azure components  depending on the client context and use cases. Define reference patterns (e.g. medallion architecture, CDC patterns, data sharing, semantic layers) and promote them across projects. Collaborate with cloud architects, security, and domain experts to ensure solutions are aligned with enterprise standards and constraints. Guide implementation & support teams Work closely with  data engineers, analytics engineers, BI developers and data scientists  to make architecture real. Provide guidance on data modeling (dimensional modeling / star schema, data vault, operational models) and data product design. Review solution designs, pipelines and models, and help troubleshoot complex issues when needed. Data governance, security & quality Define and promote  data governance principles  (ownership, cataloguing, lineage, metadata, classification). Work with security teams to implement  secure-by-design architectures  (RBAC, least privilege, PII/PHI handling, encryption). Advocate and help implement  data quality  and observability practices (DQ checks, monitoring, alerting). Hands-on architecture & prototyping Stay close to the technology by building  proofs of concept , reference implementations and accelerators. Use tools like  Databricks (PySpark, SQL), Fabric Lakehouses, Notebooks, Data Pipelines, Power BI  to validate patterns and decisions. Contribute to internal frameworks and reusable components that speed up delivery and increase quality. Community & pre-sales Actively contribute to the  Data & AI community  within adesso (Belgium and Netherlands): knowledge sharing, talks, brown bags, internal documentation. Support  pre-sales activities : co