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Data Engineer

Posted 22 Aug 2022
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Work experience
1 to 4 years
Full-time / part-time
Full-time
Job function
Degree level
Required language
English (Fluent)

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Data Engineer

Ready to break boundaries in the analytical world? Accelerate your data engineering career with our advanced training program. We fully pay this program as well as your salary. Your job? Working as a data engineer at one of our clients like Lely, ING, ASML or KLM on challenging projects. What kind of projects?

✅ Help data-driven organizations move, process and store data by building data warehouses, data lakes and distributed data meshes

✅ Productionizing machine learning models

✅ Apply engineering practices to pick the best tools for the job

✅ Use raw data gathered from data pipelines to build production-ready scalable applications driven by data and AI

The role itself

• 2 fulltime weeks of hands-on bootcamp training where you’ll focus on writing deployable code, containerization, data engineering and cloud fundamentals

• Work 4 days a week as a data engineer at one of our clients like Heineken, Rabobank, ASML, Lely, FedEx, Vattenfall

• Join us every Wednesday at the Xccelerated office in Amsterdam/ on remote. Here you will get ongoing training and project support from our technical leads

• At the end of your first year, you get the opportunity to join the partner organization directly

Key Responsibilities

As a data engineer, you will work together with other medior and senior team members on challenging projects for our clients. In these projects, you take on complex problems such as building data pipelines, productionizing machine learning models and building custom software solutions.

Part of the job is dealing with a variety of data types and formats; different data velocities from batch to near-real-time; and scale from one machine to distributed systems. You’re not afraid to get your hands dirty with infrastructure, either in the cloud or on-premises. And most importantly you apply engineering practices to pick the best tools for the job, balancing complexity, maintainability, speed of development, quality, and value.

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.

This is you

From a personal perspective, you are customer focused and have a strong can-do mentality. You focus on results, have a desire to complete challenging tasks and learn while doing. Next to this, you have:

✔️ 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 data engineer or as a software engineer in a data environment

✔️ Knowledge of open-source technologies like Spark, Kafka, Airflow, or Kubernetes and experienced with Python

What Xccelerated offers

💰 Good salary

🛫 25 vacation days

📙 Kick off with 2 full-time weeks of hands-on Bootcamp training

📊 Technical training & Innovation days for a full year (every week)

✅ Challenging assignments

💻 Macbook and iPhone

🍎 Lunches, amazing coffee and snack bar

🎒Flexibility in working from home & at the office

Interested? We’d love to meet you!

Please get in touch! Contact Jessie Loogman at jloogman@xccelerated.io or by phone at +31650999663.

Application Process

· First interview with one of our recruitment consultants (Samantha or Jessie)

· Making a technical assessment (from home) you will present to one of our Tech Leads (home/on remote)

**We aim to complete an application process (from application to offer) within 1-3 weeks. As you will understand, this also depends on your own availability.

About Xebia

With over 20 years of experience, our global network of passionate technologists and pioneering craftsmen deliver cutting-edge technology and game-changing consulting to companies on the brink of transformation.

Xccelerated is a joint initiative between Xebia and GoDataDriven, accelerating careers of young professionals with one to three years of experience in the fields of machine learning, data engineering, and cloud engineering.
Our 13-month advanced training program integrates learning with working at one of our partner companies. We offer you the opportunity to work at companies like Heineken, KLM, ING, Vattenfall or Randstad Group and become an authority in your field.

IT
Amsterdam
Active in 1 country
30 employees
20% men - 80% women
Average age is 27 years

What employees are saying

Nikki Doorhof

Data Scientist

Nikki Doorhof

“I use the skills I learned at Xccelerated are of great use in my day to day work at Nationale Nederlanden. After the bootcamp, I had the feeling that I wanted to rewrite all my previous projects.”

Selin Gungor

Machine Learning Engineer

Selin Gungor

“Xccelerated decreases the gap between software engineering and data science. Thanks to this, I’m solving real data engineering challenges at ING.”