Mission Overview:
Keystone Solutions is seeking a Data Engineer for a consultancy mission at a client site. The project aims to evolve the administration towards a more user-oriented and data-driven approach, addressing the current fragmentation and duplication of enterprise data across various applications. This role is crucial in establishing a common reference source for enterprise identification, improving data quality, and supporting the principle of 'Only Once'.
Key Responsibilities:
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Define integration processes, quality control, detection, and monitoring of inconsistencies in the enterprise reference.
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Collaborate with SPW Digital teams to design processes for data feeding and quality control.
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Implement and test these processes, ensuring effective monitoring.
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Work within a team that includes a project manager, technical coordinator, and analyst.
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Contribute to the continuous improvement of data quality processes.
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Ensure coherent integration of data from multiple internal and external sources.
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Design mechanisms for anomaly detection and ensure data reliability.
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Automate data cleaning processes, including standardization and deduplication.
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Monitor data quality indicators and propose technical or organizational improvements.
Requirements:
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Proven experience in data engineering and quality control.
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Strong knowledge of data integration tools and processes.
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Excellent communication skills in English and French.
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Dynamic, flexible, and pragmatic approach to problem-solving.
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Client-oriented mindset with the ability to respond to urgent data management needs.
Why Join Keystone Solutions:
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Consultancy Nature: Engage in on-site work and embrace your consultant identity.
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Dynamic Projects: Tackle diverse challenges across various client environments.
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Turbo-Charged Learning: Experience professional development and broad learning opportunities.
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Skyrocketing Ambition: Commit to your career growth within our framework.
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Values: As a 'K-Stone', bring core values to every engagement.
If you are ready to tackle technical and strategic challenges in a dynamic consultancy environment, apply today .
Duration: 15/10/2026 - 14/06/2027 8 months • (part time 3/5)
Skills required:
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Connaissance des principes de gouvernance de données (DAMA, etc…) - Level: T1 - Junior - Most recent: Any time
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Connaissance théorique et pratique des outils ETL et analyse de qualité exigée (FME et Talend standards SPW)
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(mandatory) - Level: T2 - Confirmed - Most recent: Any time
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Maîtrise des processus d’analyse et de conception des systèmes de gestion de bases de données.
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(mandatory) - Level: T2 - Confirmed - Most recent: Any time
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Maîtrise des processus de Data Quality Management (connaissance théorique et pratique)
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(mandatory) - Level: T2 - Confirmed - Most recent: Any time
Language requirements:
French
(mandatory)
Level Proficiency (C2)
