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Data Engineer – Data Management & Platform Engineering
Job in
1000, Amsterdam, North Holland, Netherlands
Listed on 2026-05-14
Listing for:
ITProposal
Full Time
position Listed on 2026-05-14
Job specializations:
-
Engineering
Data Engineer, Data Science Manager
Job Description & How to Apply Below
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 We're Looking For
We're 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
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