Data Engineer

TasksJob title: Data Engineer – ExpertWork location: BRUXELLESExperience: at least 6 yrs of exp in data Analytics.Work Mode Expectation: 50% on site & 50% WFHDescriptionMission context: A DATA Engineer is a key contributor in preparing and making dataavailable in a safe and secure manner, for multiple usages by Businesses andFunctions, and for multiple purposes – reporting, analytics and/or applications. Hecontributes to potentially big productivity for all Data Consumers – i.e. peopleconsuming or using the data - of the Businesses and Functions, by delivering welldesigned and running Data Assets, to be used bank-wide and for global usage, or withina specific Business or Function for specific local needs and usages.Function descriptionYour main objectives are:• To collect business requirements through various requirements techniques• To translate them into an efficient Data solution by designing data flows, datamodels and data stores/data sets, mapping rules, access mechanisms• To analyze the best “golden” sources of data and define the business andtechnical rules on how to integrate them• To prototype the solution in order to support the business validation• To design and develop the “logical” and “physical” data models and data stores,and to industrialize the feeding and deliveries from the integrated data stores(datawarehouse, datamarts, data sets).• To streamline these data pipelines across the enterprise, for maximum usagethroughout the company or business/functionLanguage requirements:Dutch: FluentFrench: FluentEnglish: FluentEducation: You have at least a Master’s degree in a quantitative discipline, such asstatistics, mathematics or engineering.Candidates with other academic backgrounds with substantial knowledge of analyticsare also encouraged to apply).Certification: Certification in SAS EG, SAP, Tableau or related technologies are aplusTechnical experience:• SAS EG, SQL, Oracle are mandatory• Python, Power BI, Excel, Sharepoint, Tableau are preferrable.Business experience mandatory: Prior experience in banking and dataanalytics, project managementPreferable:• Soft skills, Team player• Quick self-starter, pro-active attitude• Good Communication and Influencing skills• Good analytical and synthesis skills• Autonomy, commitment and perseverance• Ability to work in a dynamic and multi-cultural environmentRequirementsJob title: Data Engineer – ExpertWork location: BRUXELLESExperience: at least 6 yrs of exp in data Analytics.Work Mode Expectation: 50% on site & 50% WFHDescriptionMission context: A DATA Engineer is a key contributor in preparing and making dataavailable in a safe and secure manner, for multiple usages by Businesses andFunctions, and for multiple purposes – reporting, analytics and/or applications. Hecontributes to potentially big productivity for all Data Consumers – i.e. peopleconsuming or using the data - of the Businesses and Functions, by delivering welldesigned and running Data Assets, to be used bank-wide and for global usage, or withina specific Business or Function for specific local needs and usages.Function descriptionYour main objectives are:• To collect business requirements through various requirements techniques• To translate them into an efficient Data solution by designing data flows, datamodels and data stores/data sets, mapping rules, access mechanisms• To analyze the best “golden” sources of data and define the business andtechnical rules on how to integrate them• To prototype the solution in order to support the business validation• To design and develop the “logical” and “physical” data models and data stores,and to industrialize the feeding and deliveries from the integrated data stores(datawarehouse, datamarts, data sets).• To streamline these data pipelines across the enterprise, for maximum usagethroughout the company or business/functionLanguage requirements:Dutch: FluentFrench: FluentEnglish: FluentEducation: You have at least a Master’s degree in a quantitative discipline, such asstatistics, mathematics or engineering.Candidates with other academic backgrounds with substantial knowledge of analyticsare also encouraged to apply).Certification: Certification in SAS EG, SAP, Tableau or related technologies are aplusTechnical experience:• SAS EG, SQL, Oracle are mandatory• Python, Power BI, Excel, Sharepoint, Tableau are preferrable.Business experience mandatory: Prior experience in banking and dataanalytics, project managementPreferable:• Soft skills, Team player• Quick self-starter, pro-active attitude• Good Communication and Influencing skills• Good analytical and synthesis skills• Autonomy, commitment and perseverance• Ability to work in a dynamic and multi-cultural environment