Senior Data Engineer (Azure Databricks Spark) Amsterdam Netherlands Start Date: May 8 2026 Contract: 6 Months
We are looking for an experienced Senior Data Engineer to join GET (Gall & Etos Tech)a platform-driven innovative organization delivering impactful data solutions.
Role Overview
In this role you will focus on data management and engineering ensuring data is efficiently stored organized and made accessible for business use. Your expertise will help transform raw data into meaningful insights for end-users.
Key Responsibilities
Design build and maintain scalable data pipelines
Manage data ingestion transformation storage and retrieval from multiple sources
Work with cross-functional teams (engineers & analysts) to deliver high-quality data solutions
Optimize data workflows for performance scalability and reliability
Ensure data is structured and presented effectively for analytics and business consumption
Contribute to innovation within a modern platform-based data environment
Required Skills & Experience
10 years of experience in Data Engineering / Data Management
Strong hands-on expertise in:
Apache Spark
Databricks
Azure Data Factory
Solid understanding of ETL/ELT processes and data architecture
Experience working with large-scale distributed data systems
What Were Looking For
Strong analytical and problem-solving mindset
Passion for data and innovation
Ability to work in a collaborative fast-paced environment
Excellent communication and stakeholder management skills
Location
Amsterdam Netherlands
Senior Data Engineer (Azure Databricks Spark) Amsterdam Netherlands Start Date: May 8 2026 Contract: 6 Months We are looking for an experienced Senior Data Engineer to join GET (Gall & Etos Tech)a platform-driven innovative organization delivering impactful data solutions. Role Overview In this...
Senior Data Engineer (Azure Databricks Spark) Amsterdam Netherlands Start Date: May 8 2026 Contract: 6 Months
We are looking for an experienced Senior Data Engineer to join GET (Gall & Etos Tech)a platform-driven innovative organization delivering impactful data solutions.
Role Overview
In this role you will focus on data management and engineering ensuring data is efficiently stored organized and made accessible for business use. Your expertise will help transform raw data into meaningful insights for end-users.
Key Responsibilities
Design build and maintain scalable data pipelines
Manage data ingestion transformation storage and retrieval from multiple sources
Work with cross-functional teams (engineers & analysts) to deliver high-quality data solutions
Optimize data workflows for performance scalability and reliability
Ensure data is structured and presented effectively for analytics and business consumption
Contribute to innovation within a modern platform-based data environment
Required Skills & Experience
10 years of experience in Data Engineering / Data Management
Strong hands-on expertise in:
Apache Spark
Databricks
Azure Data Factory
Solid understanding of ETL/ELT processes and data architecture
Experience working with large-scale distributed data systems
What Were Looking For
Strong analytical and problem-solving mindset
Passion for data and innovation
Ability to work in a collaborative fast-paced environment
Excellent communication and stakeholder management skills