Data Engineer Expert Consultant

This is a consultancy mission for a Data Engineer Expert at a client site, representing Keystone Solutions. As a Keystone Solutions consultant, you will be hired by Keystone Solutions to work on client projects, delivering value and expertise in dynamic environments.

The 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, including reporting, analytics, and applications. You will deliver well-designed and running data assets for global or local usage, supporting productivity for all data consumers.

• →Collect business requirements through various requirements techniques.
• →Translate requirements into efficient data solutions by designing data flows, data models, data stores/data sets, mapping rules, and access mechanisms.
• →Analyze the best sources of data and define business and technical rules for integration.
• →Prototype solutions to support business validation.
• →Design and develop logical and physical data models and data stores, and industrialize the feeding and deliveries from integrated data stores (data warehouse, data marts, data sets).
• →Streamline data pipelines across the enterprise for maximum usage throughout the company or business/function.

All these responsibilities will be carried out under Keystone Solutions’ consultancy model, ensuring you bring expertise and adaptability to every client engagement.

• Dutch: knowledge is a plus
• French: knowledge is a plus
• English: fluent

• 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.

• At least 6 years of relevant experience in Data Analytics.

• Mandatory: Modelisation, PowerDesigner
• Preferable: Data Vault modelisation

• 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

• Based in Brussels, with an expectation of 50% on-site and 50% homeworking.