Data Engineer

Mission context

Data Engineer - SAS -

The Data Hub tribe is one of the key components of the Data department, to help developing and rolling out the bank-wide BI and Data strategy. Its mission is to service all metiers and functions of the bank with transversal BI solutions (front and backend developments) & tools. In doing so, the Data Hub team will contribute to the spreading of the new data governance and “Know your data” culture throughout.

The customer needs a SAS-expert (technical) to enforce the tribe.

Function description

The mission is focused on SAS development / Maintenace of SAS applications in RISK and RCC squad with SAS IntrNet and SAS EG. Also work on continuous improvement and processes for the tribe / squad on test automation using SAS..

Language requirements

Dutch

French

English

Education

• Bachelor/Master ‘s degree in IT or engineering or equivalent by professional experience

Agile requirements

A data engineer involved in Agile projects must have the Agile mindset which implies:

• a positive attitude and pragmatism
• thirst for knowledge: Agile is about learning and adapting. Knowledge sharing is key to success.
• The goal of team success: Agile is about the success of the team, no individual success or heroic behavior. It is more important for the team to succeed than for the individual to have completed his/her tasks.
• There is no failure, only feedback: Agile is about taking everything as lessons, adjusting actions based on the feedback, resulting in continuous improvement.

Beyond the roles: Agile teams are cross-functional. All required disciplines are represented in the team (analysis, development, testing, … ). However, although team members have a primary role representing a discipline, they are expected to take on other roles and contribute to other disciplines whenever it helps towards reaching the sprint goal.

Required Experience / Knowledge

• At least < 10 > years of relevant experience in SAS- applicative development and support (technical / functional)
  
  

Soft skills

• Good analytical and problem solving skills.
• Quick self-starter, pro-active attitude
• Team player always ready to share, train or provide support to others.
• Autonomy, commitment and perseverance also on documentation
• Flexible, accurate & control minded.
• Ability to work in a dynamic and multi-cultural environment
• Ability to deliver results respecting deadlines
• Good oral and written communication. Ability to turn advanced technical topics and industry jargon into easy-to-understand information. Having experience on giving trainings to groups of people is an asset.
• Quality driven and cost avoidance minded
• Able to handle changing priorities
• Customer focus
• Passionate about data