Data Engineers are the engineers behind modern data platforms. You architect and build scalable systems that move, transform and store data at scale. From cloud-native warehouses and lakehouses 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.
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.
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.
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 lakehouses
Distributed Systems design principles
Cloud-native data platform engineering
Engineering leadership and communication
Professional growth and impact development
Explore the complete technical structure. Download the full overview.
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.
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.
Work in an international environment with like-minded professionals who are on the same page: learning, making impact, sharing knowledge and having fun.
Job offers
(after 1 year)
People signing
(after 1 year)
Rating program
(average)
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.
As a Data Engineer at Xccelerated, you work alongside experienced engineers on complex, high-impact projects for leading organizations. You contribute directly to modern data platforms and help industrialize machine learning at scale.
You design, build and maintain scalable data infrastructure and data-intensive systems. You care about clean architecture, production readiness and making reliable data accessible across teams.
A technical bachelor’s or master’s degree (e.g. Computer Science, Informatics, Artificial Intelligence, Software Engineering)
3–5 years of experience as a Data Engineer or Software Engineer
Hands-on experience with technologies such as Spark, Kafka, Airflow and Kubernetes
Experience with at least one major cloud platform (Azure, GCP or AWS)
Strong communication skills and the ability to collaborate across technical and non-technical stakeholders
If you have any questions, please contact Samantha, our Talent acquisition lead, through sgoncalves@xccelerated.io or telephone number 0613889770
