BI Data Engineer
Il y a 5 jours
Brussels, Belgique
ProUnity
Temps partiel
700 €/an
Gratuit avec email ou Google
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- As a Senior BI Data Engineer, you will be part of the Business Intelligence team and will be responsible for designing, developing, and maintaining the organization's data platform. You will be responsible for reliable, high-performance and scalable data solutions to support reporting, analysis and data-driven decision-making.
- You have deep technical expertise in data engineering, data integration and data warehousing and work in both on-premises and cloud environments.
- In addition to your own development activities, you will support the existing ETL and BI developers with complex technical issues. You act as a technical point of contact for specialized topics and contribute to the quality, continuity and maintainability of the BI platform.
Responsibilities
- Data engineering and integration
- Design, development and maintenance of ETL and ELT processes.
- Integrating data from various internal and external sources.
- Developing and optimizing data warehouses and data marts.
- Developing dimensional data models according to proven methodologies such as Kimball.
- Deploy data solutions in both on-premises and cloud environments.
- Supporting the further expansion and modernization of the BI platform.
- Monitoring the performance, stability and scalability of data solutions.
- Drafting and maintaining technical documentation.
Support from the development team
- Supporting ETL and BI developers with complex technical analyses and implementations.
- Advising on the most suitable technical solution within existing architecture and development standards.
- Support with performance problems, data integration issues and complex incidents.
- Helping to develop and apply technical standards and best practices.
- Sharing expertise around SQL Server, data warehousing, cloud platforms and dimensional modeling.
- Acting as a technical point of contact for complex data-related issues
Pros are knowledge of:
- Azure Data Factory
- Power BI
- Spark
- Python
- Git
- Azure DevOps
- Data Vault
Profile
- Bachelor's or master's degree in Computer Science or equivalent through experience.
- At least five years of relevant experience within Business Intelligence, Data Engineering or Data Warehousing.
- Strong analytical and problem-solving skills.
- Excellent technical expertise combined with a pragmatic approach.
- Ability to analyze and solve complex technical issues.
- Smooth collaboration within multidisciplinary teams.
- Willingness to share expertise and support colleagues.
Skills
- Data warehousing
- Data enginering
- Data Lake Solutions
- Data integration and data quality
- Dimensional Modeling (Kimball)
- ETL - ELT process
- Hybrid environments (on-premises and cloud)
- Microsoft Azure Data Services
- Microsoft Fabric
- Microsoft sql server
- Modern data architectures
- SQL Server Integration Services SSIS (ETL)
- Star and snowflake models
- T-SQL
Languages
Dutch - Full Professional Proficiency
French- Level Native