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Cloud Data Engineer: Build Scalable Platforms & Pipelines
Job in
1000, Amsterdam, North Holland, Netherlands
Listed on 2026-05-27
Listing for:
Xccelerated
Full Time
position Listed on 2026-05-27
Job specializations:
-
Engineering
Data Engineer, Data Science Manager, AI Engineer
Job Description & How to Apply Below
Engineer modern data platforms that power real business impact.
Data Engineers are the engineers behind modern data platforms. You architect and build scalable systems that move, transform and store data m cloud-native warehouses and lake houses to distributed data meshes, you lay the foundation for analytics and AI. Together with data scientists, you operationalize, monitor and scale machine learning solutions and data products in production.
Technical alignment phase
Every Data Engineer starts with a focused two-week engineering alignment phase. This intensive period sharpens production-ready Python, containerization, large-scale data processing with Apache Spark and Kafka, and core cloud engineering principles. Rather than classroom-style learning, you work hands‑on through practical engineering challenges and realistic scenarios. Our Data Engineering Lead tailors the approach to your background to ensure a strong and consistent technical foundation before entering complex production environments.
The first 12 months
After the alignment phase, you join one of our partner organizations four days a week, embedded in a real engineering team. On the fifth day, you return to Xccelerated in Amsterdam for advanced deep‑dives, architecture reviews and technical sparring. These sessions focus directly on the challenges you encounter in your project, while expanding your expertise across modern data engineering domains. At the end of the year, you transition into a permanent role at the partner organization.
Technical focus areas
Production-grade Data Engineering with Python & Scala
Deploying and operationalizing Machine Learning models
Distributed data processing with Kafka and Spark
Workflow orchestration with Apache Airflow
Containerization and runtime environments with Docker
Data storage architectures, lakes and lake houses
Distributed Systems design principles
Cloud-native data platform engineering
Engineering leadership and communication
Professional growth and impact development
Why work at Xccelerated?
Technical acceleration
Work with senior Tech Leads on architecture decisions, scalable data and cloud-native patterns, CI/CD, advanced modeling and platform design. We don’t repeat basics. We refine how you build.
Real production impact
You work in complex environments, contributing to modern data and cloud platforms, migrations or greenfield builds. No simulations. No sandbox projects. Just real systems at scale.
Like-minded professionals
Work in an international environment with like-minded professionals who are on the same page: learning, making impact, sharing knowledge and having fun.
Engineering Leadership & Communication
Alongside deep technical development, we focus on the skills required to operate effectively in complex engineering environments. This includes strengthening your ability to communicate technical decisions clearly and create alignment across data, product and business teams.
These sessions are centered around personal leadership, professional growth and influencing without authority. You gain insight into your communication style, decision‑making patterns and development goals. We work on stakeholder management, structured feedback, presenting technical concepts and navigating conflict in high‑impact environments.
This development track consists of several focused sessions spread throughout the year, each designed as an interactive workshop where you actively practice and apply what you learn in real project scenarios.
The skills I learned at Xccelerated are incredibly valuable—I use them everyday er the bootcamp, I had the feeling that I wanted to rewrite all my previous projects.
Nikki Doorhof - data scientist, Xccelerated/Nationale Nederlanden
Xccelerated decreases the gap between software engineering and data science. Thanks to this, I’m solving real data engineering challenges.
Selin Gungor - data engineer, Xccelerated/ING
I’m impressed by the guidance I get from the many experts I’m surrounded with helps me become an expert myself as well at Heineken.
Aldy Syahdeini - cloud developer, Xccelerated/Heineken
Ready to deepen your impact as a Data Engineer?
As a…
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