Data Engineer

Keystone Solutions

Namen, Belgium

25 days ago

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Role details

Contract type

Temporary contract

Employment type

Part-time (≤ 32 hours)

Experience level

Starter

Working hours

Regular working hours

Languages

English, French

Job source

Data Cleansing Data Deduplication Information Engineering Data Integration Data Integrity Extract Transform Load (ETL) Talend Data Management

Define integration processes, quality control, detection, and monitoring of inconsistencies in the enterprise reference.
Collaborate with SPW Digital teams to design processes for data feeding and quality control.
Implement and test these processes, ensuring effective monitoring.
Work within a team that includes a project manager, technical coordinator, and analyst.
Contribute to the continuous improvement of data quality processes.
Ensure coherent integration of data from multiple internal and external sources.
Design mechanisms for anomaly detection and ensure data reliability.
Automate data cleaning processes, including standardization and deduplication.
Monitor data quality indicators and propose technical or organizational improvements., * Consultancy Nature: Engage in on-site work and embrace your consultant identity.
Dynamic Projects: Tackle diverse challenges across various client environments.
Turbo-Charged Learning: Experience professional development and broad learning opportunities.
Skyrocketing Ambition: Commit to your career growth within our framework.
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 .

Proven experience in data engineering and quality control.
Strong knowledge of data integration tools and processes.
Excellent communication skills in English and French.
Dynamic, flexible, and pragmatic approach to problem-solving.
Client-oriented mindset with the ability to respond to urgent data management needs., * Connaissance des principes de gouvernance de données (DAMA, etc…) - Level: T1 - Junior - Most recent: Any time
Connaissance théorique et pratique des outils ETL et analyse de qualité exigée (FME et Talend standards SPW)
(mandatory) - Level: T2 - Confirmed - Most recent: Any time
Maîtrise des processus d’analyse et de conception des systèmes de gestion de bases de données.
(mandatory) - Level: T2 - Confirmed - Most recent: Any time
Maîtrise des processus de Data Quality Management (connaissance théorique et pratique)
(mandatory) - Level: T2 - Confirmed - Most recent: Any time