Data Engineer

Location: Amsterdam, Netherlands
Work Model: Hybrid
Start Date: 27 May 2026
Contract Duration: 6 Months
Experience Required: 8–10 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

• 8–10 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.