Mission context:
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.
Function Description:
- As a data engineer / data modeller you establish, improve and deploy modelling standard&guidelines for the whole Datehub tribe by coaching and assisting the data engineers in the usage of these S&G.
- As a data engineer / data modeller you will assess on a regular basis the datamodels on the correct application of the rules/guidelines/standards by the data engineers. This involves a close collaboration with the data architects and data managers and a detailed knowledge.
- As a data engineer / data modeller you will create awareness on data modelling by promoting techniques that make sense via chapter meetings or by giving trainings to functional and technical data engineers
- As a data engineer / data modeller you will act as a DBA in the NON-PROD environment by supporting the technical data engineers in the preparation , in the validation and in the execution of the ORACLE scripts. Also support the data engineers in optimizing performance on existing databases.
- As a data engineer / data modeller you follow and develop yourself in the recent IT-and DATA evolutions (internal and external) and propose innovative data solutions that can help improve business activities.
With the squad, the data engineer works on solution description and implementation of different projects and enhancements within the big data hub-environment . Main technologies used on the data hub platform are Scala, Java, Kafka, Flink, Hadoop, Spark, Hive, ... Having experience in building applicative framework and generic components on the datahub is a must have.
This mission will focus on what we call the run the bank activities where the focus will be monitoring the operational environments, keep them in a good shape, identify tracks of continuous improvement. Also the deployments on the dathub in a the NON-PROD and PROD environment is an important activity in this mission. Accuracy in the preparation and the execution of the deployments as well as good communication are crucial for this mission.
Language requirements:
Dutch : Preferable
French : Preferable
English : Sound knowledge
Education : Bachelor/Master ‘s degree in IT or engineering or equivalent by professional experience
Agile requirements :
An analyst 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 5 years of relevant experience
Technical experience:
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You have at least 5 years of experience with data in any of the financial domain (product related, business related). Having a significant experience in Big Data technologies and platforms is an advantage.
- You have practical experience with Datavault modelling. You are familiar with Powerdesigner or any other modelling tool.
Business experience:
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Knowing and experienced DEVOPS-practices
- Experience with working in a complex organization
- Specific requirement for agile: practical experience with Scrum
Soft skills :
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Good analytical and problem solving skills.
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Quick self-starter, pro-active attitude
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Team player always ready to share, train or provide support to others.
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Autonomy, commitment and perseverance
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Flexible, accurate & control minded.
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Ability to work in a dynamic and multi-cultural environment
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Ability to deliver results respecting deadlines
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Good oral and written communication. Ability to turn advanced technical topics and industry jargon into easy-to-understand information .
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Quality driven and cost avoidance minded
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Able to handle changing priorities
- Customer focus
- Passionate about data
