Data Engineer Expert Consultant

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 operational data assets for use across the organization or within specific business units, supporting both global and local needs., * 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 delivery 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., * Consultancy Nature: Embrace your role as a consultant, working on-site and representing Keystone Solutions in client environments.
• Dynamic Projects: Experience a wide variety of challenges across different client settings, ensuring no two missions are ever the same.
• Turbo-Charged Learning: Accelerate your professional development and broaden your expertise through exposure to diverse projects and technologies.
• Skyrocketing Ambition: Keystone Solutions is committed to supporting your career growth and ambitions within a thriving consultancy framework.
• Values: As a K-Stone, you bring our core values to every engagement, making a real impact for clients and your own career.

If you are ready to tackle technical and strategic challenges in a dynamic consultancy environment, apply today .

Do you have experience in Tableau?, Do you have a Master's degree?, * Dutch: native or French native

• French: native or Dutch native
• English: is a plus

Education:

• At least a Master's degree in a quantitative discipline such as statistics, mathematics, or engineering (PhD is an advantage). Candidates with other academic backgrounds and substantial analytics knowledge are also encouraged to apply.

Certifications:

• Certification in SAS EG, SAP, Tableau, or related technologies is a plus.

Work Arrangement:

• Expectation: 50% on site and 50% homeworking.

Required Experience / Knowledge:

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

Technical Experience:

• Mandatory: SAS EG, SQL, Oracle
• Preferable: Python, Power BI, Excel, SharePoint, Tableau

Business Experience:

• Mandatory: 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