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# Senior Data Engineer

- **Company:** Nouvall
- **Location:** Vlissingen, Netherlands
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Microsoft Azure, Cloud Storage, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Warehousing, Python (Programming Language), Microsoft SQL Server, Oracle (Applications), Performance Tuning, Windows PowerShell, Power BI, Cloud Services, SQL Server Integration Services, SQL Server Analysis Services, Transact-SQL, Data Ingestion, Information Technology, Data Pipelines
- **Published:** October 25, 2026
- **Apply:** https://www.werk.nl/nl/vacatures/71938637

## About the Role

7+ years of experience in data engineering roles with expertise in Microsoft BI stack.

 - Strong knowledge of SQL-based data modeling, transformations, and optimizations.
 - Bachelor's or master's degree in Computer Science, Information Technology, or a related field.
 - Excellent problem-solving skills with a proactive approach to challenges.
 - Permanent EU citizenship and passport are required.
Realisation

## Description

For our client in Vlissingen we are hiring a Senior Data Engineer .
Are you passionate about data engineering and eager to make a significant impact? We are looking for a Senior Data Engineer to play a key role in building and enhancing data-driven decision-making capabilities., Designing, implementing, and maintaining scalable ETL/ELT pipelines for efficient data ingestion and processing.

 - Working extensively with SQL Server (SSIS, SSAS) and Power BI Report Server to manage and transform data.
 - Optimizing data warehouse architecture using Microsoft BI stack, ensuring high performance and reliability.
 - Integrating data from various sources, including Oracle Server, APIs, and cloud storage solutions.
 - Developing automation tools for data transformation, validation, and processing.
TECH STACK

 - We are looking for professionals with experience in:
 - Microsoft SQL Server (SSIS, SSAS, T-SQL)
 - Power BI Report Server for enterprise reporting
 - ETL/ELT development for large-scale data pipelines
 - Data warehousing principles and performance tuning
 - Integration of APIs and third-party data sources
 - Cloud services (Azure, AWS, or GCP) is a plus
 - Automation and scripting (Python, PowerShell, or similar)