Data Engineer – Data Management & Platform Engineering

Data Engineer Data Platform & Management

Amsterdam Netherlands
Contract: 6 Months
Start Date: ASAP
Experience: 10 Years
Location: TNDL Amsterdam

About the Role

We are seeking an experienced Senior Data Engineer to join GET (Gall Etos Tech) a platform-based product organization focused on building innovative and scalable data solutions.

As a Data Engineer with a strong focus on Data Management you will play a critical role in enhancing and evolving our enterprise data platform to improve data quality governance accessibility and scalability. You will work within a highly collaborative multidisciplinary engineering team to design robust data architectures that empower data engineers and business stakeholders to create impactful solutions.

This role is ideal for someone who combines deep technical expertise with strong data management intuition and thrives in fast-paced product-driven environments.

Key Responsibilities

• Enhance and optimize the enterprise data platform to improve data quality reliability and management capabilities
• Design and implement scalable data architectures that structure data in an easily understandable and maintainable way
• Build robust data pipelines and processing frameworks using modern cloud-based technologies
• Develop and maintain solutions for storing organizing accessing and retrieving data from multiple internal and external sources
• Collaborate closely with engineers analysts and product teams to deliver impactful business solutions
• Implement best practices for data governance lineage metadata management and platform scalability
• Engineer methodologies and frameworks that can scale alongside business growth
• Continuously benchmark emerging technologies and market trends to drive innovation within the platform
• Ensure platform performance availability and operational excellence
• Mentor engineering peers and contribute to technical leadership within the team

Required Skills & Experience

10 years of experience in Data Engineering / Data Platform Engineering

Strong hands-on expertise in:

• Apache Spark
• Databricks
• Azure Data Factory

Strong knowledge of:

• Data architecture design and modeling
• Data storage and retrieval optimization
• ETL / ELT frameworks
• Data quality and governance principles
• Distributed data processing
• Cloud-native data engineering solutions
• Data lifecycle management

Experience with:

• Building scalable enterprise-grade data platforms
• Data orchestration and workflow automation
• Performance tuning and optimization of large-scale data pipelines
• CI/CD practices for data engineering

Strong problem-solving and analytical capabilities

Ability to work effectively in cross-functional multidisciplinary teams

Excellent communication skills in collaborative engineering environments

What Were Looking For

Were looking for an engineer who:

• Has strong data management intuition
• Thinks platform-first and designs for scale
• Is passionate about enabling other engineers through great platform engineering
• Stays ahead of technology trends and brings fresh ideas
• Thrives in innovative agile product organizations
• Can balance technical excellence with business impact