Data Engineer
Job in
1000, Amsterdam, North Holland, Netherlands
Listed on 2026-05-01
Listing for:
ITProposal
Full Time
position Listed on 2026-05-01
Job specializations:
-
IT/Tech
Data Engineering, Data Science Manager, Data Analyst, Data Warehousing
Job Description & How to Apply Below
Job Title:
Data Engineer (Developer)
Location: Amsterdam, Netherlands
Duration: 6 Months Contract
Start Date: ASAP
Experience
Required:
8–10 Years
We are looking for an experienced Data Engineer to join our team in Amsterdam. The ideal candidate will have strong expertise in modern data engineering tools and cloud-based data platforms, with a focus on building scalable, high-performance data solutions.
Key Responsibilities- Design, develop, and maintain scalable data pipelines and ETL/ELT processes
- Work with large datasets using modern data engineering frameworks and tools
- Build and optimize data workflows using Databricks, dbt, and Apache Spark
- Develop and maintain data solutions using Python and SQL Server
- Implement and manage data integration processes using Azure Data Factory
- Collaborate with data architects and stakeholders to define data models and architecture
- Create and maintain dashboards and reports using Power BI
- Ensure data quality, governance, and performance optimization
- Support CI/CD processes and deployment of data solutions
- Strong experience with Databricks, dbt, Apache Spark, and Python
- Hands-on experience with Azure Data Factory
- Solid knowledge of SQL Server and advanced SQL
- Experience with Power BI for reporting and visualization
- Strong understanding of data architecture and data modeling
- Experience with SSIS and SSRS
- Exposure to enterprise-scale data environments
- Familiarity with Agile methodologies
- Azure Data Engineering expertise
- Data Architecture & Modeling
- Problem-solving and analytical thinking
- Strong communication and collaboration skills
- Work on cutting-edge cloud data technologies
- Be part of a collaborative and innovative team
- Opportunity to contribute to impactful data-driven projects
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