Data Engineering training program - Xccelerated Cloud Infra

Apply software engineering practices in a data-driven environment.

Data Engineers are first and foremost the software engineers of the analytical world. You like to help data-driven organizations move, process and store data by building data warehouses, data lakes, lake houses and distributed data meshes. Sometimes you’ll also collaborate with data scientists to deploy, monitor and scale machine learning solutions and data products.

The Kick off

Every Data engineer kicks off with two full-time weeks of hands-on bootcamp training. This intensive training focuses on writing deployable code with Python, containerization, data processing at large scale with Apache Spark and Kafka, and cloud fundamentals. Participants learn through classroom lectures, short assignments, hackathons and collaborative project assignments. Our Data Engineering Lead Emanuel chooses the best training approach for the topic, depending on your needs.

The next 12-months

After these 2 kick off weeks, you spend a full year working on-site four days a week at one of our partner companies and returning one day a week to our Xccelerated office in Amsterdam. During these “return” days, you split your time between theory and practice—gaining project guidance and coaching from our supervising consultants to support you in the partner company’s projects, while also diving deeper into data engineer topics. At the end of your first year, you get the opportunity to join the partner organization directly.

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 & data lakes

• Distributed Systems

• Cloud-native data engineering

• Soft skills

• Personal development

Why work at Xccelerated?

Advanced Data & AI training programs

Take the next step in your career. Our programs for young professionals with proven potential ensure growth for your Data & AI competence, by working and learning continuously.

Challenging data-driven projects

Apply your knowledge on the most exciting data-driven projects and make real impact. Work with other highly skilled people at one of our partner companies and your future employer.

Like-minded young professionals

Work in an international environment with like-minded professionals who are on the same page: learning, making impact, sharing knowledge and having fun.

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

The skills I learned at Xccelerated are incredibly valuable—I use them everyday at work. After 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 at Xccelerated. It helps me become an expert myself as well at Heineken.

Aldy Syahdeini - cloud developer, Xccelerated/Heineken

Ready to become a Data Engineering Xccelerator?

As a Data Engineer you will work together with other medior- and senior team members on challenging projects for our clients and help them making a real impact by improving their data platforms and industrializing machine learning.

Besides this, you like to develop and maintain data infrastructure and data intensive applications; like to create insights and make data available for data teams and like to deploy and configure data infrastructure.

• A technical bachelor’s or master’s degree (e.g. computer science, informatics, artificial intelligence, software engineering)

• 2-5 years of work experience as a data engineer or software engineer

• Knowledge of open-source technologies like Spark, Kafka, Airflow and Kubernetes

• Preferably experience in one of the major cloud environments (Azure, GCP, AWS)

• Good communication skills