Data Analytics Engineer (K10066)

About the Position

RVA is looking for an experienced Data Analytics Engineer with proven hands-on experience in data projects. As a Data Analytics Engineer, you will be involved in every phase of the data lifecycle: from data analysis and modeling to workflow orchestration, quality monitoring, and performance optimization.

Responsibilities

• Design, build, and maintain robust data pipelines
• Actively contribute to the ingestion of data from various source systems into a hybrid data platform
• Work with both on-premises EDW modeled according to the Data Vault methodology and cloud-based MDP based on a medallion architecture
• Utilize deep knowledge of SQL, dbt, and dimensional modeling according to Kimball; also have a good understanding of DataVault2.0
• Familiar with Databricks and PBI
• Work pragmatically and according to Agile principles

Requirements

Core Skills

• dax Confirmed
• dbt Confirmed
• ETL-pijplijnen, datamapping en Kimball-datamodellering van warehosue-systemen Confirmed
• Enterprise Data Warehouse Confirmed
• Dimensional modelling (Kimball) - experienced Confirmed
• DataVault2.0 Confirmed
• Python Confirmed
• Data migration Confirmed
• POWER BI Expert
• SQL Expert
• Microsoft Fabric Confirmed
• Jinja Confirmed
• Azure DevOps Confirmed

Secondary Skills

• Agile Confirmed

Languages

• English Active knowledge
• Dutch Active knowledge
• French Active knowledge

Nice to Have

• Master's degree
• Relevant certifications (e.g., Fabric Analytics Engineer Associate, Microsoft PowerBI Data Analyst, Azure Fundamentals, Collibra Data Steward Learning Path, dbt Fundamentals, Scrum PO)
• Recent and proven experience as a PowerBI business analyst
• Recent and proven experience as an Analytics Engineer

We Offer

• Competitive salary
• Opportunity to work in Brussels, Belgium
• Collaborative and innovative work environment

About the Company

RVA is a leading company in the data analytics field, committed to providing innovative solutions and fostering professional growth.

Application

To apply, please submit your CV and answer the following question: Tell us more about how you have previously researched which KPIs are important for reporting and how you have implemented them.

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