Azure Data Engineer

h3Mission Overview /h3 pAs part of its 2027 roadmap, our client is continuing to modernize and optimize its Data Platform. Following the migration of non-SAP data to Azure, key priorities include developing new business use cases to support reporting, analytics, and Data Science, strengthening data governance, expanding self-service data strategy, monitoring and optimizing Azure and Databricks consumption, and continuously improving Data Platform architecture. This position is a consultancy mission at a client site representing Keystone Solutions. /p h3Main Mission /h3 pAs an Azure Data Engineer, you will play a key role in the continuous development, optimization, and governance of the Data Platform. You will design, develop, and maintain reliable and scalable data solutions on Microsoft Azure, while contributing to the evolution of the Azure Databricks architecture. You will also help implement data governance and self-service capabilities, monitor platform consumption and costs, and ensure that the Data Platform meets business needs in terms of performance, security, and reliability. These responsibilities will be carried out under Keystone Solutions' consultancy model. /p h3Key Responsibilities /h3 ul liDesign and develop data pipelines using Azure Data Factory, Databricks, and other Azure services. /li liImplement modern data architectures (Data Lake, Delta Lake, Lakehouse). /li liDevelop and industrialize new business use cases. /li liContribute to the implementation and management of Databricks Unity Catalog (catalogs, schemas, permissions, data sharing, and governance). /li liSupport the implementation of a self-service data strategy. /li liMonitor and optimize Azure and Databricks performance, resource consumption, and costs. /li liAutomate data ingestion, transformation, and deployment processes. /li liCollaborate with Data Analysts, Data Scientists, and business stakeholders. /li liDocument data flows, architecture, and best practices. /li liContribute to the maintenance and continuous improvement of the Azure Data Platform. /li /ul h3Required Technical Skills /h3 ul liStrong experience with Azure services: Data Factory, Azure Databricks, Azure Storage, Azure SQL, Key Vault, Azure DevOps. /li liHands-on experience with Databricks Unity Catalog, including access management, security, and data governance. /li liStrong knowledge of Azure Databricks architecture, including Lakehouse design, scalability, security, and best practices. /li liExperience with Spark, PySpark, and Delta Lake. /li liStrong skills in SQL and Python. /li liExperience with monitoring, performance tuning, and cost optimization in Azure and Databricks. /li liKnowledge of CI/CD principles applied to data engineering. /li liKnowledge of application integration patterns (REST API, AMQP). /li /ul h3Profile /h3 ul liDegree in Computer Science, Data Engineering, or a related field. /li liMinimum 5+ years of experience in a similar role. /li liProven experience with Azure Databricks, Unity Catalog, and Azure data architecture. /li liAnalytical mindset, autonomy, problem-solving skills, and team spirit. /li liStrong communication skills and ability to explain technical concepts clearly. /li /ul h3Nice to Have /h3 ul liMicrosoft Azure or Databricks certifications. /li liExperience with Power BI administration and governance. /li liExperience with real-time data streaming. /li liExperience with Terraform or Infrastructure as Code. /li liFamiliarity with Azure Monitor and Log Analytics. /li liBasic SAP knowledge (S/4HANA or BW/4HANA as data sources). /li liExperience working in Agile/Scrum environments. /li /ul pIf you enjoy working with modern data technologies and want to contribute to the future of mobility in Brussels, we'd love to hear from you /p pIf you are ready to tackle technical and strategic challenges in a dynamic consultancy environment, /p h3Language requirements /h3 ul liFrench or Dutch: excellent /li liSecond language French or Dutch: good /li liEnglish: good /li /ul ul liDutch or French /li liLevel Native or bilingual proficiency /li liEnglish /li liLevel Professional working proficiency /li /ul h3Duration /h3 p04/01/2027
- 31/12/ months /p ul li(full time) /li /ul h3Skills required /h3 ul liAzure Data Architecture
- Level: Expert
- Most recent: Any time /li liAzure Data Factory
- Level: Expert
- Most recent: Any time /li liDatabricks
- Level: Expert
- Most recent: Any time /li liDatabricks Unity Catalog
- Level: Expert
- Most recent: Any time /li liPower BI
- Level: Advanced
- Most recent: Any time /li liPython
- Level: Expert
- Most recent: Any time /li liSpark
- Level: Expert
- Most recent: Any time /li liSQL
- Level: Expert
- Most recent: Any time /li /ul