Senior Data Engineer

Next Ventures
Amsterdam, Netherlands
5 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Amsterdam, Netherlands

Tech stack

Application Frameworks
Data Architecture
Data Systems
Data Warehousing
Distributed Computing Environment
Python
Unstructured Data
System Availability
Spark
Production Code
Data Management
Data Pipelines
Databricks

Requirements

We are seeking a Senior Data Engineer (5+ years' experience) who can operate at the intersection of solution architecture and hands-on development . This role requires an individual who can design scalable data architectures while actively building and maintaining production-grade data pipelines . The core purpose is to architect, build, and optimize robust data platforms and pipelines that enable advanced analytics, business intelligence, and data-driven decision-making across the organization. Your key responsibilities - Architect and Design scalable, reliable, and cost-effective data platforms and pipelines aligned with business needs - Develop and implement high-quality data pipelines to process large-scale structured and unstructured data - Own end-to-end data lifecycle , including ingestion, transformation, storage, and consumption layers - Establish data architecture standards , best practices, and reusable frameworks - Optimize performance and cost of data systems across cloud platforms - Ensure data quality, governance, security, and compliance across all data assets - Provide technical leadership and guidance to junior engineers and collaborate with cross-functional teams - Partner with stakeholders to translate business requirements into scalable technical solutions - Troubleshoot production issues and ensure high availability and reliability of data systems Skills and attributes for success - Strong Engineering & Architectural Mindset : Ability to design scalable data solutions while staying hands-on with implementation - Technical Depth in Python : Expertise in writing clean, modular, and production-ready code - Modern Data Stack Expertise : Experience with platforms like Databricks, Spark, and distributed data processing systems - Data Architecture Knowledge : Strong understanding of...

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