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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 context

i.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

Function description

• 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 (datawarehouse, datamarts, data sets)?
• To streamline these data pipelines across the enterprise, for maximum usage throughout the company or business/function

Language requirements

Dutch native or French native

Description

French native of Dutch native

English is a plus

Education

You 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).

Certification

Certification in SAS EG, SAP, Tableau or related technologies are a plus

Travel Expectation

50% on site & 50% homeworking

Technical mandatory experience / experience

SAS EG, SQL, Oracle

preferable knowledge

Python, Power BI, Excel, SharePoint, Tableau

Business mandatory experience

Prior experience in banking and data analytics, project management

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