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31 Jul 2018

Full-time Big Data Engineering accelerator

Xccelerated – Posted by Xccelerated Amsterdam, Noord-Holland, Netherlands

Job Description

Our Story

Xccelerated locates, connects, trains, and accelerates highly-skilled data professionals to become authorities in their fields. Our advanced training program develops each person’s pragmatic and business competencies by providing the opportunity to work directly on real-world big data and data science challenges. After an intensive boot camp, our fellows apply their talent and skills directly to a partner project full-time, creating business value for our clients. After one year, all fellows have the opportunity to transfer to the partner organization directly, without any recruitment fee. We call this unique approach to staffing deta-flex – because flexibility means more motivation, and motivated people deliver the best results. Xccelerated is a joint initiative between Xebia and GoDataDriven.

Your First Year

Unlike other training concepts, our first-year fellows begin in an immersive, full-time, accelerated program and put their learning into practice immediately. After an intensive month-long training boot camp, you will work directly on a client project, for six to twelve months. You will receive direct guidance from your senior trainer/manager while working one day a week from our offices. After twelve months, if both parties agree, you can permanently join the client’s team you’re assigned to without any fees or fines. You do not need to commit in advance. We even guarantee you a job as a Data Science or Big Data Engineering Accelerator after completing the one-year Xccelerate program.

Xccelerate training program

Our training program is suitable for master degree holders with relevant experience from an internship or job on the side while studying and data engineers or data scientists with 0.5 to 3 years experience. The program consists of the following topics:

* Software engineering
* Software architecture
* Performance
* Productionizing
* Model versioning
* Scalability
* Data tests/QA
* Parallelism/Concurrency
* DAGS for data processing
* Docker
* Innards Spark/Airflow
* Personal development

How to Apply

Sounds interesting? We’d love to hear from you! The first group of Data Engineers will start on November 1st. Please contact Mahlia Joenoes through, or by phone at: +31-630336940.

Job Categories: Engineering. Job Types: Full-time.

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