Data Engineering

Apply software engineering practices in a data-driven environment.

Data engineers are the pillars on which data-driven companies are built. Our intensive advanced Xccelerated Data Engineering program emphasizes software- and data engineering best practices while diving deep into the most effective technologies.

Both the bootcamp and return training days engage learners in a variety of hands-on exercises, problem-solving hackathons, and training to develop both soft and technical skills. It’s all about continuous learning.

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Why work with Xccelerated?

Increase impact

Grow your Data & AI competence through our advanced programs and experienced professionals who have proven their potential.

Long-term solution

Your goal is ours— to help you find a long-term solution. After one year, you directly hire each Xccelerator as your employee.

Proven track record

We are proudly part of Xebia Group. Our partnerships with companies like Heineken, KLM, ING, and FedEx put you in good company.

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Soft skills

In conjunction with our technical programs, Xccelerated also provides soft-skills development through interactive training-days and practice. It features an integrated personal development component on effective communication as a Data & AI professional.

Using DISC personality analysis, each participant gains insight into their personality type and communication style and learns how both might impact team collaborations. The foundations of DISC theory first appeared in 1928, in the book The Emotions of Normal People, written by the Harvard Medical School professor and psychologist, Dr. William Marsten. Since then, DISC analysis has evolved into an accurate and valid psychometric behavioral instrument.

The Xccelerated personal development program is divided into seven training topics. Each subject consists of one interactive training day in which everyone practices their skills.

Program topics include

Data Engineering with Python/Scala

Machine learning model deployment
Distributed processing with Kafka & Spark
Functional data engineering with Airflow
Containerization with Docker
Data storage
Distributed Systems
Cloud-native data engineering
Soft skills
Personal development

Want to know more? Fill in your details to download the full program!

Program prerequisites for Xccelerators

A technical bachelor’s or master’s degree (e.g. computer science, informatics, artificial intelligence, software engineering)
1-4 years of work experience as a software engineer or data engineer
Programming skills, preferably in Python

Xccelerated not only has the technical knowledge to accelerate our teams, but also the required personal skills to get all stakeholders onboard.

Stefan van Heukelum - PO financial data analytics, KLM

Drawing on an exceptional capacity to innovate, Xccelerated helped us deploy several machine learning models and provided insight for improving my team’s way of working.

Giuseppe D’Alessio - IT chapter lead, ING

The high level data science training that we got from Xccelerated was really valuable and laid a proper foundation for the work we did in the past two months and which we will continue doing.

Nima Rounaghi - data scientist, Heineken