Data Engineer

Location: Amsterdam Netherlands
Work Model: Hybrid
Start Date: 27 May 2026
Contract Duration: 6 Months
Experience Required: 810 Years

About the Role

We are looking for an experienced Data Engineer to support enterprise data transformation and analytics initiatives. The ideal candidate will have strong expertise in modern cloud-based data engineering technologies and hands-on experience building scalable data pipelines transformation frameworks and reporting solutions.

You will work closely with data architects analysts and business stakeholders to develop reliable and high-performing data platforms and analytics solutions.

Key Responsibilities

Data Engineering & Pipeline Development

• Design develop and maintain scalable data pipelines and ETL/ELT workflows
• Build and optimize data transformation processes using dbt and Spark
• Develop data integration solutions using Azure Data Factory
• Ensure data quality integrity and performance across platforms

Databricks & Cloud Data Processing

• Develop and manage data processing solutions within Databricks environments
• Implement distributed data processing workflows using Apache Spark
• Optimize data processing jobs for scalability and performance
• Support modern cloud-based analytics and reporting platforms

Database & Reporting Solutions

• Develop and maintain SQL Server databases and data models
• Create optimized SQL queries stored procedures and data transformation logic
• Support reporting and visualization initiatives using Power BI
• Contribute to dashboard development and business intelligence solutions

Collaboration & Delivery

• Collaborate with cross-functional teams to understand business and technical requirements
• Participate in solution design development planning and deployment activities
• Support troubleshooting performance tuning and operational improvements

Required Skills & Experience

• 810 years of experience in Data Engineering
• Strong hands-on experience with:
  • Databricks
  • dbt
  • Apache Spark
  • Python
  • Azure Data Factory
  • SQL Server
  • Power BI
• Strong understanding of ETL/ELT development and data transformation frameworks
• Experience building scalable cloud-based data solutions
• Strong analytical and problem-solving skills

Preferred Skills

• Experience with:
  • SSIS
  • SSRS
• Familiarity with enterprise reporting and data warehousing concepts
• Knowledge of modern cloud data architecture best practices

Ideal Candidate

The ideal candidate is a skilled Data Engineer with strong experience across modern cloud data platforms analytics technologies and enterprise data transformation initiatives. You are comfortable working in fast-paced environments and delivering scalable high-quality data solutions.