SAS Data Engineer; SRQ
Listed on 2026-03-01
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IT/Tech
Data Engineer, Data Analyst, Data Warehousing
Location: Town of Belgium
A DATA Engineer is a key contributor in preparing and making data available in a safe and secure manner, for multiple usages by Businesses and Functions, and for multiple purposes reporting, analytics and/or applications. He contributes to potentially big productivity for all Data Consumers ?
Mission contexti.e.people consuming or using the data - of the Businesses and Functions, by delivering well designed and running Data Assets, to be used bank-wide and for global usage, or within a specific Business or Function for specific local needs and usages.
Your main objectives are:
- To collect business requirements through various requirements techniques
- To translate them into an efficient Data solution by designing data flows, data models and data stores/data sets, mapping rules, access mechanisms, ?
- To analyse the best ?golden? sources of data and define the business and technical 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 industrialise the feeding and deliveries from the integrated data stores (data warehouse, datamarts, data sets)?
- To streamline these data pipelines across the enterprise, for maximum usage throughout the company or business/function
Dutch native or French native
DescriptionFrench native of Dutch native
English is a plus EducationYou have at least a Master?s degree in a quantitative discipline, such as statistics, mathematics or engineering (a PhD is considered an advantage). Candidates with other academic backgrounds with substantial knowledge of analytics are also encouraged to apply).
CertificationCertification in SAS EG, SAP, Tableau or related technologies are a plus
Technical mandatory experience / experienceSAS EG, SQL, Oracle
preferable knowledgePython, Power BI, Excel, SharePoint, Tableau
Business mandatory experiencePrior experience in banking and data analytics, project management
- Team player
- Good Communication and Influencing skills
- Good analytical and synthesis skills
- Autonomy, commitment and perseverance
- Ability to work in a dynamic and multi-cultural environment
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