Senior Data Engineer
We ARE Recruitment Group
's-Hertogenbosch, Netherlands
27 days ago
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Role details
Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours
Job source
Tech stack
Agile Methodology
Amazon Web Services
Data Integrity
Extract Transform Load (ETL)
Data Vault Modeling
Data Warehousing
Database Queries
Python (Programming Language)
Scrum Methodology
Power BI
Technical Data Management Systems
Cloud Platform System
+3 more
Snowflake
Data Pipelines
Api Management
Job description
- Analyze and translate business processes into technical data solutions that deliver strategic and tactical insights.
- Design, develop, and maintain scalable data models (Data Vault and dimensional/Kimball).
- Build and optimize ETL processes and data pipelines to ensure data reliability, completeness, and timeliness.
- Identify opportunities to improve data usage and extract value from complex and fragmented datasets.
- Collaborate with cross-functional teams to develop and enhance data products.
- Advise stakeholders by uncovering underlying business needs and translating them into effective solutions.
- Contribute to continuous improvement, knowledge sharing, and team development within an Agile environment.
Requirements
- HBO/WO level (e.g., IT, Business Administration, or related field).
- Strong SQL skills (core competency).
- 3-5 years of experience in data modeling (dimensional and/or Data Vault).
- Solid understanding of ETL processes, data warehousing, and cloud environments.
- Proactive mindset with the ability to identify and implement improvements independently.
- Strong analytical and communication skills., * Experience with Snowflake, Matillion, and AWS.
- Knowledge of Python and API integrations.
- Experience with Power BI.
- Familiarity with Agile frameworks (Scrum/SAFe).
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